Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for an audience of network devices. One of the methods includes receiving information from a source, the information associated with a device identifier. The method includes determining, based on the device identifier, a unique user identifier, wherein the unique user identifier identifies a user independent of network, media, and location. The method includes identifying at least one user attribute based on the received information. The method includes associating the user attribute with the unique user identifier. The method also includes storing the user attribute in a repository. The repository stores a plurality of other user attributes associated with the unique user identifier, the other stored user attributes being received from a plurality of different sources.

Abstract: Disclosed is an information providing method and so on including: obtaining a use history of a device used by a user for processing on a substance; and providing information according to the obtained use history to the user, wherein the processing on the substance includes a movement of the substance or a change in a temperature of the substance. This allows providing the user of the device with information suitable for the user when the user simply uses a device for doing routine housework, without requiring the user to input information such as search words.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for clustering user interface event data for analysis and retrieval are disclosed. In one aspect, a system includes a data store and computer(s) that interact with the data store and execute instructions that cause the computer(s) to receive, for a user interface event, event data specifying a structure of a user interface presented during the user session. The event is assigned to a respective cluster based on a comparison of the structure of the user interface specified by the event data to a user interface structure that represents the respective cluster. For each cluster, a user interface attribute indicative of a user interface state of user interfaces specified by the event data in the cluster is determined. User interface state groups are generated based on the user interface attribute for each cluster.

Abstract: Various systems, apparatus, computer program products, and methods are provided for purchasing a product or service without disrupting a user experience by leaving a host application. One example method may comprise causing host content to be displayed in the host application, receiving a product content, and causing the product content to be displayed in the host application proximate host content enabling a user utilizing the host application to access information associated with the product content without leaving the host application, wherein the host application is a game application, and wherein the product content is selected based on comparing product scores associated with a plurality of products, wherein the product scores are based at least in part on user information regarding a user progress in the game application.

Abstract: A system and method are disclosed for sending advertising data to an end user device. The system includes but is not limited to a processor in data communication with a computer readable medium; and a computer program embedded in the computer readable medium, the computer program including but not limited to instructions to send first password data to a first group of end user devices that have exchanged a first advertising key data in a first advertising category; and instructions to send first advertising data encoded using the first password to the first group of end user devices.

Abstract: A method includes receiving, at a media server from an electronic device, a first request for a video content item. The method includes selecting, at the media server, a particular version of the video content item to communicate to the electronic device based on a geographic location of the electronic device. The particular version is a vector graphics format version responsive to the geographic location corresponding to a first coverage area. The particular version is a bitmap graphics format version responsive to the geographic location corresponding to a second coverage area different from the first coverage area. The method also includes communicating the particular version of the video content item from the media server to the electronic device.

Abstract: A method and a system for monitoring an advertisement presented within a mobile application, including: tracing in real-time executable code of the mobile application that processes an advertisement. Where this traced process of advertisement performs: negotiating advertisement display, communicating an advertisement, and displaying an advertisement. The system then detects within the process of advertisement an advertisement processed by the executable code. The system then records the advertisement as displayed, and parameters associated with the advertisement.

Abstract: A method and system may use photo deformation techniques for vehicle repair analysis to determine a repair time for repairing a damaged vehicle part. A user's client device may generate a three-dimensional (3D) image or model of a damaged vehicle part by capturing several two-dimensional images of the damaged vehicle part. One or several characteristics of the damaged vehicle part may be extracted from the 3D model and the characteristics may be compared to characteristics for previously damaged vehicle part, where the actual repair times were measured. A repair time for the damaged vehicle part may be determined based on the comparison and displayed on the client device.

Abstract: Performance testing based on variable length segmentation and clustering of time series data is disclosed. One example is a system including a training module, a performance testing module, and an interface module. The training module generates a trained model to learn characteristics of a system of interest from training time series data by segmenting the training time series data into homogeneous windows of variable length, clustering the segments to identify patterns, and associating each cluster with a cluster score. The performance testing module analyzes system characteristics from testing time series data by receiving the testing time series data, and determining a performance metric for the testing time series data by analyzing the testing time series data based on the trained model. The interface module is communicatively linked to the performance testing module, and provides the performance metric via an interactive graphical user interface.

Abstract: A computer-implemented method and an apparatus dynamically select content for online visitors. The method includes receiving information related to activity of an online visitor on an enterprise interaction channel and identifying channel data related to the activity. A plurality of content pieces capable of being provided to the online visitor during the ongoing journey is identified. A correlation score is computed for each content piece using the channel data to generate a plurality of correlation scores. The plurality of content pieces are rank-ordered by sorting the plurality of correlation scores. A display of at least one content piece is effected during the ongoing journey of the online visitor on the enterprise interaction channel based on the rank-ordering of the plurality of content pieces.

Abstract: A method for quick shopping by using a washing machine comprises: enabling the washing machine to receive a trigger signal; sending a quick shopping command to a server, wherein the quick shopping command comprises identity recognition information and an identifier of the trigger signal; enabling the server to search for a commodity selecting condition corresponding to the quick shopping command, and send commodities that meet the commodity selecting condition to an intelligent terminal bound with the washing machine after the server receives the quick shopping command; and enabling the intelligent terminal to display the selected commodities on a display interface, wherein the displayed information at least comprises commodity identifiers and URL addresses corresponding to the commodity identifiers. According to the scheme, the method realizes quick shopping of commodities by using the washing machine, simplifies the online shopping operation of users, and saves shopping time.

Abstract: Examples are disclosed that relate to recommending resources accessible via an online ecosystem. One example provides a computing system including a logic machine and a storage machine holding instructions executable by the logic machine to, for each of a plurality of users of an online ecosystem, obtain and store interaction data regarding interactions of the user with one or more digital content items accessible via the online ecosystem, and receive a request associated with a selected user for a recommendation related to resources accessible via the online ecosystem. The instructions may be further executable to retrieve, for at least a subset of users of the plurality of users, the interaction data, apply a weighted matching algorithm to determine one or more similar users that are similar to the selected user, and output a recommendation for the selected user of one or more recommended resources accessible via the online ecosystem.

Abstract: A system and method capable of generating a 360° video including advertising content by photographing only a video for a specific direction not an omni-direction covered by a 360° video. Devices and methods are capable of generating a 360° video using relatively small resources. In particular, embodiments provide a system and method capable of generating a 360° video conveniently and relatively accurately using a terminal carried by a user. Furthermore, embodiment provide a system and method capable of generating a 360° video by photographing only a video for a specific direction not an omni-directional view covered by a 360° video. Furthermore, embodiments provide advertising content in a 360° video.

Abstract: A location prediction framework is described for applying location labels or tags to target documents and/or identifying location-sensitive queries. Terms in content and queries are represented by corresponding term locations vectors (TLVs) in which the term is represented as a weighted distribution across locations. Each element of a TLV represents a probability that the term corresponding to the TLV relates to a particular location. Predicted locations may be introduced as features to a ranking framework to improve the identification and ranking of search results for a given query.

Abstract: Examples of the present disclosure describe content creation of at least one abstract from extracted content. Input information is received that comprises a link to a landing page and keyword information. The landing page is evaluated and content including at least one of image data and text data is extracted from the landing page. Properties of the content extracted are analyzed. The content extracted is ranked based on the analyzed properties and application of at least two ranking algorithms. A first ranking algorithm applied ranks the content based on relevance to the landing page and a second ranking algorithm applied ranks the content extracted based on relevance to the keyword information. The ranked content is filtered to remove content or portions of content that are determined to be unappealing based on applying filtering rules to the ranked content. At least one abstract is created from the filtered and ranked content.

Abstract: Method, system, and programs for identifying and delivering content. In one example, a request for content is first received from a user, via the communication platform. One or more parameters are obtained which are associated with the platform on which the requested content is to be presented. When the requested page is retrieved, it is determined whether the page was created with respect to a second platform that is more restrictive than the first platform. If so, additional content is generated, the selection of which is based on the parameters associated with the platform on which the requested content is to be presented as well as the content of the requested content page. The additional content is integrated with the requested content page and then transmitted to the user as a response to the request.

Abstract: A method includes generating, by a first transportation service, a first route based on a transportation request. The method further includes providing, to a computing device, first navigation information based on the first route to direct the computing device to service the transportation request. The method further includes generating, based on second transportation service data received from a second transportation service, a second route corresponding to the transportation request. The second route includes a first segment to be serviced by the computing device of the first transportation service using a first transportation vehicle and a second segment to be serviced by the second transportation service using a second transportation vehicle. The method further includes providing, by the first transportation service, second navigation information to the computing device to direct the computing device to service the first segment of the second route.

Abstract: The invention provides, in some aspects, digital data processing methods of generating digital content pieces (e.g., email messages or portions thereof) that are customized in accord with individual recipient behaviors. Such methods include the step of generating and digitally transmitting to a digital data devices of a recipient a digital content piece that (i) has a call to action to which the recipient can respond and (ii) that has a plurality of features selected so as to maximize a probability, P(b1, b2, . . . , bM, x1, x2, . . . , xM), that the recipient will respond to that call to action, where that probability is defined by the relation P(b1,b2, . . . , bM,x1,x2, . . . , xM)=exp(?j=1, . . . , Mbjxj)/(1+exp(?j=1, . . . , Mbjxj)) where x1, x2, . . . , xM are values for each of a plurality, M, of features characterizing the digital content piece and/or the recipient, b1, b2, . . . , bM are respective coefficients for each of the values x1, x2, . . . , xM.

Abstract: The present disclosure relates to a computer system configured establish and utilize a database for online ad realization prediction in an ad display platform associated with N parties, wherein N is a positive integral greater than 1. The computer system is configured obtain a party hierarchy for each of the N parties including a plurality of features of the party; select a target ad display event including N features, each of the N features corresponding to a node in a party hierarchy; obtain a prior probability reflecting an unconditional probability of ad realization occurrence at the target ad display event among all possible ad display events; for each of the N features: determine a marginal prior probability by decomposing components associated with the other N?1 features from the prior probability; determine a marginal posterior probability based on the marginal prior probability; and save the marginal posterior probability in the corresponding node of the party hierarchy.

Abstract: Disclosure includes system, method and architecture for selecting supplemental digital content using visual appearance. Digital content that is visually similar, or dissimilar, to digital content requested by a user can he identified and provided for presentation with the requested content. The additional digital content is visually congruent, or visually incongruent, with content requested by a user, such that the additional content is similar, or dissimilar, to the requested content from a visual standpoint. In a presentation of the requested content, the presentation position of each additional content item relative to the presentation position of each requested content can be identified using visual congruence, or visual incongruence.

Abstract: Provided are a computer program product, system, and method for adding conversation context from detected audio to contact records. An audio stream is received through a microphone of a personal computing device. Context analysis is performed of the audio stream to detect conversation context in the audio stream. A request is received to associate the conversation context with a selected contact person. A determination is made of conversation context detected from a segment of the audio stream received during a period of time from when the request was received. The conversation context determined for the period of time is included in a contact record for the selected contact person. The contact record is stored in a contact database including a plurality of contact records for a plurality of contact persons, wherein the contact records include conversation context and location information associated with the contact persons.

Abstract: Provided are a computer program product, system, and method for adding conversation context from detected audio to contact records. An audio stream is received through a microphone of a personal computing device. Context analysis is performed of the audio stream to detect conversation context in the audio stream. A request is received to associate the conversation context with a selected contact person. A determination is made of conversation context detected from a segment of the audio stream received during a period of time from when the request was received. The conversation context determined for the period of time is included in a contact record for the selected contact person. The contact record is stored in a contact database including a plurality of contact records for a plurality of contact persons, wherein the contact records include conversation context and location information associated with the contact persons.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to rectify false set top box tuning data. Disclosed examples methods include identifying in return path data a first group of set top boxes classified as likely to exhibit machine events in tuning data of the return path data more frequently than a second group of set top boxes represented in the return path data. Additionally, in some examples, the method includes determining whether the first group of set top boxes includes a machine event based on a pattern of the tuning data in the return path data for respective ones of the first group of set top boxes and improving an accuracy of return path data by rectifying the machine event.

Abstract: Described herein is a system and method for processing analytics data in a windowed manner. In some embodiments, each user of a number of users is assigned to a group (e.g., a treatment group or a control group). The system may monitor each user to obtain metric data associated with each of the users over the course of an experiment. In some embodiments, the system may identify an indication of a trigger event with respect to each user. For example, the indication of the trigger event may comprise a time at which an event occurred for that user. The system may identify and compile data from the metric data for each of the users with respect to the trigger event. In some embodiments the metric data may be aggregated for each of the users with respect to a window or timespan positioned relative to the identified trigger event.

Abstract: An online system selects advertisements for a user based on characteristics of the user. The online system presents advertisements to the user having targeting criteria satisfied by the characteristics of the user. To increase the number of users eligible to be presented with an advertisement, the online system increases the users eligible to be presented with the advertisement to include users that do not meet targeting criteria included in the advertisement. The online system obtains a percentile of users based on a performance metric associated with the advertisement and determines a cutoff measure of affinity based on the percentile and measures of affinity between various users and the advertisement. A user is eligible to be presented with the advertisement if a measure of affinity between the user and the advertisement is greater than the cutoff measure of affinity for the advertisement.

Abstract: Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium, including a method for providing content. A query is received. Search results are identified that are responsive to the query. A content item is identified for presentation along with the search results. It is determined, based on one or more criteria, when the content item is to be augmented. When it is determined that the content item is to be augmented and after identifying the search results, the content item is augmented based at least in part on an entry in the search result. An augmented content item is created. The augmented content item is provided.

Abstract: In one embodiment, a method includes receiving a search query from a user and identifying one or more objects that match the search query. The method includes determining one or more search intents of the search query based on one or more topics associated with the identified objects and a ratio of object-types of the identified objects. The method includes generating search-result modules corresponding to the search query based on the determined search intents. Each search-result module is associated with a particular object-type and includes search results of that object-type. The method includes sending instructions for presenting a search-results interface to the client system of the user for display. The search-results interface may include one or more of the search result modules displayed in a blended order based on the determined search intents.

Abstract: Systems, methods, and apparatus are disclosed for identifying and analyzing online advertising performance data. Systems may receive data records that include data events characterizing interactions between users and online advertisement campaigns. The online advertising data records may include timestamp data characterizing creation dates for data events. The systems may generate intermediate data objects by partitioning at least some of the online advertising data records based on a first plurality of temporal data categories representing different units of time. Each intermediate data object may be associated with a temporal data category of the first plurality of temporal data categories. The systems may generate performance data objects by partitioning the intermediate data objects based on a second plurality of temporal data categories that are different than the first temporal data categories.

Abstract: Aspects described herein may provide methods and systems for loading a second application from a first application while maintaining a consistent user experience. A technique may comprise receiving, by a client application, a first application from web servers. Upon receipt of a request for a second application, the first application may display a first loading display. The client application and/or the first application may then retrieve the second application and, in the process of retrieving the second application, cause the second application to display a similar loading display. When the client application switches from the first application to the second application, the client may display the second loading display. The similarity of the two loading displays may minimize the interruption perceived by the user. The loading displays may comprise indications of loading status, advertisements, interactive elements, or other content for display to the user.

Abstract: Method and apparatus are disclosed for electric vehicle charging station parking spot monitoring system. An example electric vehicle charging station includes a communication module, sensors, and a charge controller. The communication module communicatively couples to a vehicle parked in a parking spot associated with the charging station. The sensors monitor the parking spot. The charge controller receives identifying information and battery information from the vehicle parked in the parking spot, and when the vehicle is not eligible for charging, sends the identifying information of the vehicle to a parking enforcement authority.

Abstract: As a client device accesses and interacts with a web server of an online retailer, an engagement evaluation server gathers data from both the client device and the web server. Over time, as the client device is used to access the web server and other web servers within the evaluation server network, a profile is built and maintained that describes some aspects of the client device interaction with the web server, including recency of visits, frequency of visits, frequency of views of products, frequency of shopping cart creation and modification, and other factors indicative of the user being engaged with the online retailer. The evaluation server performs statistical analysis and data modeling on profiles in order to generate an engagement score, and then provides the contact information for profiles meeting certain criteria.

Abstract: The present disclosure relates to systems and methods for matching electronic activities with record objects based on entity relationships. The method can include accessing a plurality of electronic activities, identifying an electronic activity, identifying a first participant associated with a first entity and a second participant associated with a second entity, determining whether a record object identifier is included in the electronic activity, identifying a first record object of the system of record that includes an instance of the record object identifier, and storing an association between the electronic activity and the first record object. The method can include determining a second record object corresponding to the second entity, identifying, using a matching policy, a third record object linked to the second record object and identifying a third entity, and storing, by the one or more processors, an association between the electronic activity and the third record object.

Abstract: In one embodiment, a method includes, sending, to a client device of a user of an online social network for presentation to the user, one or more references corresponding to one or more content items of the online social network, respectively. Each reference is presented with one or more call-to-action elements. Each call-to-action element is a user-interface element that prompts an action from the user to initiate a particular function or process related to the content item via the online social network. The call-to-action elements for each content item are presented in ranked order based on a suitability of the call-to-action element to the content item. The method includes receiving a selection of a call-to-action element presented with a reference corresponding to a particular content item. The method includes executing the function or process related to the content item on the online social network prompted by the selected call-to-action element.

Abstract: A social networking system selects advertisements for a user based on user characteristics of the user in response to a request to present an advertisement to the user. To increase the number of advertisements eligible for presentation to the user, the social networking system associates the user with one or more cluster groups associated with targeting criteria that are not satisfied by the user's characteristics. To determine whether to associate a user with a cluster group, the social networking system determines a cluster score for the cluster group based on the user's characteristics. If the cluster score equals or exceeds a cluster cutoff score for the cluster group, the user is associated with the cluster group. The cluster cutoff score may be determined based on an estimated distribution of users so that a target number or percentage of users have cluster scores less than the cluster cutoff score.

Abstract: Systems, methods, and non-transitory computer-readable media can provide a graphical user interface that includes at least one set of content items that are available for curation, wherein at least one content item in the set is obtained from a social networking system, and wherein each content item is associated with at least one option for exporting the content item. A selection of the option for exporting a first content item, from the set, to a content provider can be received. The first content item can be provided to the content provider for presentation.

Abstract: According to various embodiments, a method for generating from one or more keywords a list of recommended keywords for using in paid search advertising includes identifying, via a tool, one or more keywords to be used in a paid search advertising campaign at an identified website. The method may further include acquiring, by a crawler, content from a plurality of different web content sources via one or more networks. The method may also include applying, by the tool, to the acquired content an ensemble of one or more key phrase extraction algorithms, one or more graph analyses algorithms and one or more natural language processing algorithms to identify a set of semantically relevant keywords ranked by a relevance score. The method may further include generating, by the tool from the set of semantically relevant keywords, a knowledge graph of recommended keywords to replace or supplement the one of more keywords.

Abstract: A system and method for directing self-targeted advertising to users who are interested in receiving it. A user creates or adopts one or more personas that define a number of characteristics that the user has or wants to be associated with. The characteristics of the personas can be used by advertisers to define members of a target audience. Each persona included in a target audience has an address or identifier to which ads are sent. In one embodiment, users are shown a user interface screen with icons representing a number of brands. The user provides input that indicates whether they have different opinions of the brands. Based on the input received, an estimate is made of the likelihood that the user has a number of characteristics. In one embodiment, the user can arrange the icons representing the brands on the user interface screen to indicate if the user likes or dislikes the brand.

Abstract: Connections (e.g., click-throughs) for online campaigns are steered. A plurality of UIOs and parameters for configuring a campaign (e.g., advertisement campaign) for the plurality of UIOs is received. UIOs comparable to each of the plurality of UIOs of the campaign are automatically identified and displayed in as an array of options that can be selected for more detailed information. A distribution of connections is predicted from resulting from displays for the plurality of UIOs of the campaign, based on historical information of connections for the identified comparable UIOs.

Abstract: The computing device generates a classification model providing prediction data indicating predicted users in a target population who will respond to a target stimulus according to a predefined user response category. The computing device displays in GUI a graphical representation of a generated classification model and a plurality of options each specifying one of different objectives for determining a proportion of users in the target population to expose to the target stimulus. The computing device predicts proportion data indicating the proportion of users in the target population to expose to the target stimulus based on the determined location of the cut-off. The computing device issues one or more indications as to whether to use the classification model as a basis for exposing the proportion of users in the target population to the target stimulus according to the proportion data.

Abstract: A training system is described herein for generating a prediction model that relies on a feature space with reduced dimensionality. The training system performs this task by producing partitions, each of which corresponds to a subset of aspect values (where each aspect value, in turn, may correspond to one or more attribute values). The training system then produces instances of statistical information associated with the partitions. Each instance of statistical information therefore corresponds to feature information that applies to a plurality of aspect values, rather than a single aspect value. The training system then trains the prediction model based on the feature information. Also described herein is a prediction module that uses the prediction model to make predictions in various online contexts.

Abstract: A communication method and apparatus between heterogeneous platforms. A communication method of an interaction server that enables an interaction between a first platform server and a second platform server providing different platforms includes receiving, from the first platform server, a token request that includes first user identification information registered to the first platform server; transmitting, to the first platform server, a token that is created based on integrated user identification information corresponding to the first user identification information; receiving, from the second platform server, a request for verifying a validity of the token transferred from the first platform server to the second platform server; and transferring, to the second platform server in response to the validity of the token, second user identification information that corresponds to the integrated user identification information and is registered to the second platform server.

Abstract: Computer-implemented systems and methods are disclosed to interface with one or more storage devices storing a plurality of documents, wherein each of the plurality of documents is associated with one or more tags of one or more predefined hierarchies of tags, wherein the one or more hierarchies of tags include multiple dimensions. In accordance with some embodiments, a method is provided to identify one or more documents from the data storage devices. The method comprises acquiring, via an interface, a selection of one or more tags of the one or more predefined hierarchies of tags. The method further comprises identifying one or more documents from the data storage devices in response to the selection, the identified one or more documents having tags that have a relationship with the selected tags, and providing data corresponding to the identified documents for displaying in the interface.

Abstract: The present disclosure provides systems and methods for determining semantic location information. In particular, one or more computing devices can receive, from an application program executing on at least one of the one or more computing devices, an application programming interface (API) call requesting semantic information about a location of at least one of the one or more computing devices. Responsive to receiving the API call, the one or more computing devices can determine semantic information for the location and can return the semantic information for the location to the application program via the API. The semantic information for the location can comprise data semantically identifying the location and indicating whether a user associated with the one or more computing devices is stationary at the location or in transit from the location.

Abstract: Various embodiments relate generally to autonomous vehicles and associated mechanical, electrical and electronic hardware, computer software and systems, and wired and wireless network communications to provide an autonomous vehicle fleet as a service. In particular, a method may include receiving, from a user device, a ride request to transport a user to a destination from an origin location through an autonomous vehicle system service. Based on the origin location associated with the request, an autonomous vehicle system may be selected from a fleet of autonomous vehicles to execute the ride request. The fleet may be managed by the autonomous vehicle system service. The ride request may then be provided to the autonomous vehicle system, and information about the autonomous vehicle system may also be provided to the user device.

Abstract: A computer-implemented technique is described herein for modifying original keyword information to increase the probability that it will match the queries input by users. The technique operates by using a search engine to provide supplemental information that is relevant to the original keyword information. The technique then mines the supplemental information to extract frequently-occurring n-grams. Next, the technique removes n-grams that are considered to represent noise, and then uses a deep-structured machine-learned model to assign score values to the remaining n-grams. Finally, the technique supplements and/or replaces the original keyword information with the highest-scoring n-grams.

Abstract: A system (1) has propensity models (4), and a controller (5) for automatically supplying key event data for user interactions with a network. The key event data is distributed asynchronously around a network to the model systems (4). The model systems (4) use the key event data and user data from subscriber systems to generate subscriber analysis outputs such as propensity to take one of a set of pre-configured actions. The probed data includes usage, charging, and purchase history data. The models are weighted sub-models, in which weights are based on user segment.

Abstract: A system, method, and computer readable storage media for training a model to estimate an unknown consumer behavior while preserving consumer privacy by combining a first training data set of a first organization with a second training data set of a second organization on a third-party computer system, wherein the second training data set contains an attribute value the first organization wishes to estimate, and wherein the first organization cannot access the third-party computing system, providing a trainable model definition to the third-party computer, training the model, and returning the trained computer model.

Abstract: An electric vehicle charging station such as a smart Electric Vehicle Supply Equipment (EVSE) with an integrated camera is provided. A networked on-charging station camera unit disposed either internally to the smart EVSE or connected externally on the smart EVSE. The camera unit includes at least one of a video camera and a still image camera. A communication module is coupled to the camera unit to communicate acquired camera data over a camera connection to a server or to a mobile device of a user over one or more public networks, one or more private networks, or a combination of one or more public networks and one or more private networks.

Abstract: According to one embodiment of the present invention, a method, a system, and an apparatus are presented for mediating ambiance outputs among a plurality of users located in a common area. In some implementations, said ambiance outputs can be adaptive or interactive shared digital works. In other implementations, said ambiance outputs can be shared mediated augmented reality. In other implementations, said ambiance outputs can be the result of hierarchical schemes and algorithms. In another embodiment a method, system, and apparatus is presented for extracting and/or storing previously tagged items from a digital work.

Abstract: In various embodiments, a method for generating from one or more keywords a list of related topics for organic search includes receiving, by a topic tool, an input of one or more keywords for which to generate a list of related topics. The method may further include acquiring, by a crawler, content from a plurality of different web content sources via one or more networks. The method may also include applying, by the topic tool, to the acquired content an ensemble of one or more key phrase extraction algorithms, one or more graph analyses algorithms and one or more natural language processing algorithms to identify a set of semantically relevant topics scored by relevance. The method may also include generating, by the topic tool, from the set of semantically relevant topics, a knowledge graph of related topics for the input of the one or more keywords.