Abstract: A content management system provides a profiling mechanism that automatically tags changes made to elements in a document with applicability metadata, and uses the applicability metadata when processing a request to the repository by a user to filter the query results according to a profile for the user. A profiling mapping policy defines roles for users of the content management system. When content is requested from the repository, the profiling mechanism inserts one or more additional request parameters based on the profile of the user. The results that match both the original request and the additional request parameter(s) are returned to the user. When the user views the results, additional filtering may occur to filter individual elements from the user that do match the user's profile.

Abstract: A search management system receives at a computing system one or more search results from a search operation based on a search query. The search operation performed a first search on content in a database accessible through an application, a second search on local to the computing system content, and a third search on Web content. At least one of the search results from the first search is associated with an application identifier identifying the application. A search results integrator ranks the search results from the first search, the second search, and the third search in aggregation according to historical search behavior collected about a user and presents the ranked search results from the first search, the second search, and the third search in an integrated view.

Abstract: The disclosure discloses a personalized meta-search method, which comprises: preestablishing an interest database; searching a keyword; extracting a use log of the keyword from the interest database; preprocessing search results returned from a search engine; calculating, by using the use log, interests of the preprocessed search results and of Uniform Resource Locators (URLs) in the interest database corresponding to the searched keyword; ranking, based on calculated results, and displaying the preprocessed search results and the URLs; updating the interest database. An application terminal for personalized meta-search is also disclosed. The method and the application terminal enable users to obtain more targeted and more satisfactory search results, thereof improving user experience.

Abstract: A content management system provides a profiling mechanism that automatically tags changes made to elements in a document with applicability metadata, and uses the applicability metadata when processing a request to the repository by a user to filter the query results according to a profile for the user. A profiling mapping policy defines roles for users of the content management system. When content is requested from the repository, the profiling mechanism inserts one or more additional request parameters based on the profile of the user. The results that match both the original request and the additional request parameter(s) are returned to the user. When the user views the results, additional filtering may occur to filter individual elements from the user that do match the user's profile.

Abstract: In one embodiment, a method includes accessing a social graph that includes a plurality of nodes and edges. A first node corresponds to a first user associated with an online social network and second nodes correspond to a concept or a second user. The method further comprises scoring a first set of nodes of the second nodes based on user-engagement factors. The method further comprises identifying common nodes that are connected by edges to nodes of the first set of nodes that have a score greater than a threshold score. The method further comprises generating structured queries and sending the structured queries to the user, the sent structured queries being a personalized query.

Abstract: A user can issue a query on a search host site. The search host can construct a corresponding reference to custom search engine (CSE) with a URL pointing to a site with information for a CSE specification. The search host sends the reference to a CSE provider and the CSE provider dynamically generates the CSE specification based on the reference. The CSE provider then conducts a search and processes search results accordingly. The processed search results are sent to the search host who outputs the search results for the user. The information for the CSE specification can be stored anywhere accessible in a computer network and can be stored in various formats. Any number of CSE specifications can be automatically generated on demand corresponding to different queries or content requests on the search host site.

Abstract: Systems and methods have been developed for expanding collections of media objects that are stored remotely. More specifically, systems and methods have been developed for continuously monitoring and updating collections of media objects stored in a user's media repository (e.g., a “media locker”).

Abstract: Provided are an analysis method and system for audience rating and advertisement effects based on viewing behavior recognition including a method of recognizing a viewer on the basis of image recognition through a camera and efficiently collecting data and a method of transmitting collected data on the basis of viewer recognition to an audience rating and advertisement effect measurement server. The present invention includes a viewing behavior measurement device configured to receive a viewer image obtained by imaging one or more viewers who are viewing broadcast content, recognize the one or more viewers from the received viewer image to generate viewing behavior information, and deliver the generated viewing behavior information, and an advertisement effect measurement server configured to analyze an advertisement effect for each viewer on the basis of the received viewing behavior information and generate and deliver an advertisement effect measurement result.

Abstract: In one aspect, the present disclosure can be embodied in a method that includes receiving a search query from a user via an interface of a search engine. User-selected options are identified for excluding at least one search category in a plurality of predetermined search categories. Each search category corresponds to one or more query signals and page signals used by the search engine to execute search queries. The search query is executed based on the user-selected options, one or more query signals related to the search query received from the user, and one or more page signals related to each potential result of the search query to be executed. Search results are provided to the user based on the executed search query.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for presenting social search results. In one aspect, a method includes identifying members of a social affinity group of the user, the social affinity group having members having a relationship to the user. The method includes receiving search results including search results that reference resources associated with members of the social affinity group. The method includes identifying a first search result that references the social network site. The method includes identifying a second search result that references a resource found on the social network site and associated with a member of the social affinity group. The method includes generating a response to the query comprising instructions that the first search result be presented in proximity to the second search result.

Abstract: A computer-implemented method for searching data of an online service and a corresponding online system are described, wherein the method comprises receiving a search query originating from a client device operated by a user, accessing at least one data cloud provided by the online service, performing a search on a data pool maintained by the online service using the search query, including searching the data pool subject to the search query and refining results of the search based on the at least one data cloud, and sending a search response based on the refined results of the search to the client device.

Abstract: Embodiments are directed towards managing a display of search results by employing a query-classification for a search query to selectively display trust search results that are displayed distinct from non-trust search results. A search query is classified into a query-class. A search is then performed over non-trust sources, and selectively over trust data sources to obtain non-trust and trust search results, respectively. The trust search results are rank ordered based on various categories of search criteria, including, for example, explicit and implicit relationships. Based on the query-class, a different number of trust search results may be displayed. Further, a position for which the trust search results may be displayed may be based on the query-class. Moreover, the non-trust search results displayed distinct or separate from the trust search results to readily distinguish a type of source of the search results.

Abstract: The invention provides a system and method for analyzing a collection of communication messages. The communication messages may be any one of a collection of electronic mail messages, voicemail messages, instant messaging dialogues and other forms of communications. The collections of communications, such as electronic mail messages, may be selected by a user and then subsequently processed to determine the identity of any of the user's contacts within the communications. The contacts may then be arranged in a relative priority arrangement whereby contacts which have been identified as engaging in prior reciprocal communications with the user are given higher priority. Higher priority may also be given to contacts which engage in more recent communications with the user. Specific contact relationships may be inferred from the communications depending on whether specific contacts are repeatedly mentioned within the communication messages.

Abstract: The invention provides a system and method for analyzing a collection of communication messages. The communication messages may be any one of a collection of electronic mail messages, voicemail messages, instant messaging dialogues and other forms of communications. The collections of communications, such as electronic mail messages, may be selected by a user and then subsequently processed to determine the identity of any of the user's contacts within the communications. The contacts may then be arranged in a relative priority arrangement whereby contacts which have been identified as engaging in prior reciprocal communications with the user are given higher priority. Higher priority may also be given to contacts which engage in more recent communications with the user. Specific contact relationships may be inferred from the communications depending on whether specific contacts are repeatedly mentioned within the communication messages.

Abstract: System and method for recommending to a member of a social network an interaction with ones of a plurality of entities. Events related to individual ones of the plurality of entities are obtained. A relevance of ones of the events to the member is determined based on at least one characteristic of ones of the events and a trait of the member. Recommended interactions with ones of the plurality of entities individually related to the ones of the events based on the relevance for each of the events are presented to the user.

Abstract: Particular embodiments access a search query submitted by a first user of a social-networking system; identify one or more web pages in response to the search query; retrieve, from the social-networking system, social-networking information of the first user to identify one or more second users of the social-networking system who are connected to the first user within a predetermined degree of separation within the social-networking system; for each of the one or more web pages, determine a value indicating a number of times that the web page has been accessed by the one or more second users; rank the one or more web pages based on the value determined for each web page; and send a ranked set of hyperlinks for the one or more web pages to a second computing device associated with the first user.

Abstract: Methods and computer program products for facilitating the operation of Internet-based (i.e., online) social networking sites are disclosed. Such methods and computer program products allow people to discover, explore and maintain relationship paths (i.e., links) with any other person in the world by utilizing the fact that every person has one or more “relationship paths” to everyone else through varying degrees of separation. The power of the Internet, via online social networking sites, is leveraged to build a comprehensive database revealing how each person is connected to everyone by designating certain users of the site as “hubs,” “gateways” and/or “connectors.

Abstract: A computer-implemented method is provided for ranking files from an Internet search. In one embodiment, the method comprises assigning a score to each file based on at least one of the following factors: recency, editorial popularity, clickthru popularity, favorites metadata, or favorites collaborative filtering. The file may be organized based on the assigned scores to provide users with more accurate search results.

Abstract: Business, recommendation, and social relationship graph information for businesses may be received from a data source social networking website, where each business is recommended by users. The recommendation information may indicate users that recommend certain businesses. The social relationship graph information may indicate user-specific networks of social relationships on the social networking website. For a user query including business and affinity group selection criteria, business, recommendation, and social relationship graph information may be searched to select businesses that: match the business selection criteria; and are recommended by users having social relationships within a maximum degree of closeness with the querying user and being in an affinity group matching the affinity group selection criteria. The selected businesses may be ranked based on numbers of recommending users and social relationship graph information.

Abstract: An acquisition unit acquires a content image corresponding to content. A content image display unit arranges a plurality of content images side by side in a display screen image, and a related information display unit displays information related to an arranged content image. A first reception unit acquires a first moving instruction for the content images arranged side by side, and a second reception unit acquires a second moving instruction for the content images arranged side by side. The content image display unit moves the content images according to a moving instruction acquired by the first reception unit or the second reception unit. A related information display unit displays different types of related information when the first reception unit acquires the first moving instruction and when the second reception unit acquires the second moving instruction.

Abstract: A system and method for selecting a program to present to a consumer includes detecting facial regions in an image, detecting hand gestures in an image, identifying one or more consumer characteristics (mood, gender, age, hand gesture, etc.) of said consumer in the image, identifying one or more programs to present to the consumer based on a comparison of the consumer characteristics with a program database including a plurality of program profiles, and presenting a selected one of the identified program to the consumer on a media device.

Abstract: An apparatus is provided that includes a processor and a memory storing executable instructions that in response to execution by the processor cause the apparatus to perform a number of functions, including identification of a target number that indicates a number of reported image studies for peer review. The apparatus is caused to identify users having user characteristics that match properties of the reported image studies. The user characteristics include a specialty (modality specialty and body-region specialty) that matches the reported image studies, or an associated medical facility that matches an associated medical facility of the reported image studies. The apparatus is caused to assign the target number of reported image studies to the identified users. The apparatus may be further caused to identify users that have previously performed a user-initiated peer review of a reported image study, and reduce their assigned image studies accordingly.

Abstract: Disclosed are method and apparatus for identifying members of a social network who have a high likelihood of providing a useful response to a query. A query engine examines the personal pages of a set of members and automatically gleans semantic information relevant to the query. From the automatically-gleaned semantic information, a score indicative of the likelihood that the member may provide a useful response is calculated.

Abstract: A system and methods for aggregating content, displaying the aggregated content to a user for selection, and if more than one of the same file is detected, determining which file to play back to the user. When a request to view a certain type of content is received from the user, personal content themes are identified based on content stored on the user's local network. Remote content providers are searched for content relevant to the personal content themes. The relevant content is displayed to the user based on a total relevance score. The user selects a piece of content displayed in the interface. If more than one media file for the selected piece of content is identified, the optimal media file is selected and played back to the user.

Abstract: Techniques and systems are disclosed providing improved ranking of results to an online search-based query. One or more user types are identified for a search-based query, and may correspond to a number of user relevant results, and which user results are selected. A user profile can be determined for the respective user types for the search-based query, which may identify a proportion of the users that belong to that type, and how many results are relevant to that type. A set of relevant results can be identified for the respective user types for the search-based query, based on a number of results used by the user type. An improved ranking of the results can be determined for the search-based query, from the one or more sets of relevant results, based on user profiles and a desired user satisfaction metric for a desired number of users.

Abstract: User accounts in a social networking application are divided into highly-connected accounts and regular accounts. A mapping of the highly-connected accounts to their friends, and a mapping of accounts to documents endorsed by the users associated with the accounts are stored on index servers of a search engine. When a query is received by a front-end server of the search engine, the front-end server determines if an account associated with the query is a highly-connected account. If it is, only an identifier of the account is sent to the index servers with the query. If it is not, however, then identifiers of all of the accounts that are friends with the account are sent with the query. The index servers then determine the documents that are endorsed by the friends of the account, and consider the determined documents when selecting documents that are responsive to the query.

Abstract: A search engine performs searches on displayed information to facilitate in limiting the search results and increasing relevancy. The search engine allows user inputs to influence a search boundary and/or a search result. The search boundaries and/or search results can also be influenced by social networking information and the like. The search results can be dynamically filtered by the search engine as the user enters in their search criteria. The searched information is limited to what is visually seen by a user on a screen/display device. This significantly reduces the displayed results and lets the user instantly see what their search parameters will yield.

Abstract: A system and architecture for enhancing search results generated by an Internet search engine, so that those search results include enhanced buyer-oriented information, is disclosed. According to one aspect, a list of search results generated by an Internet search engine comprises one or more search results that are associated with one or more URLs in a set of URLs. For each such URL, seller-specific information, which may be based on and/or comprise ratings that are associated with registered selling entities that are associated with that URL, is presented in association with that URL's corresponding search result in the list of search results. A user who submitted query terms, based upon which the list of search results was generated, can use the presented rating information to determine which of the search results to investigate further.

Abstract: Personalized media charts are described. In embodiments, a request can be received for a personalized media chart that lists media assets as recommendations in a relevant order for a user. The media assets are initially ordered in the personalized media chart according to a chart rank for each media asset. A relevance factor is then determined for each of the media assets, where the relevance factor for a media asset indicates a relevance of the media asset to the user. A chart rank adjustment is calculated for each of the media assets based on the relevance factors for each of the media assets, and the media assets are then reordered in the personalized media chart according to the chart rank adjustments for each of the media assets.

Abstract: Methods, systems, and graphical user interfaces for improved searching via user specified ratings are disclosed. A rating icon for a document in a group of documents is provided. A user rates the document in the group of documents by performing a selection operation on the rating icon. A user-specific rating for the document is generated based on the user rating. A search request is received from a user. A plurality of documents that satisfy the search request are identified (including a first respective document which not previously been rated by the user but is in the group of documents that included the rated document.) A response to the search request is sent. The response includes instructions to display a ranked set of links to at least some of the documents that satisfy the search request including a link to the first respective document displayed with the user-specific rating.

Abstract: Systems and methods are disclosed for providing devices capable of the reception and playback of one or more crafted media channels transmitted over an intermittent connection. An exemplary method of personalized rendering of media content includes receiving media files and file metadata defining attributes of the media files over a data link at a receiver. The method further includes executing, using a processor of the receiver, instructions stored in a memory of the receiver. The instructions cause the processor to store certain ones of the media files characterized by file metadata consistent with one or more channel profiles in the memory, remove certain of the ones of the media files stored within the memory, and sequence the ones of the media files stored within the memory for rendering based upon one or more of the channel profiles.

Abstract: A system and method are disclosed for controlling metadata associated with content on an electronic device that includes displaying interface screens for user entry of metadata control instructions, accepting user instructions, modifying metadata of applicable content, and associating the modified metadata with the applicable content. The system can export and/or store the applicable content along with modified metadata. The system can automatically modify metadata according to one or more profiles. Relevant profiles can be determined based on the export mechanism, destination or type of content. The system can add watermarks to indicate metadata modification. The system can display metadata for user modification. The content can include photos, videos or other content. The system can display metadata and geolocation indicators for each content item that indicate whether that item has associated metadata and geolocation information. The user can selectively modify metadata of selected content.

Abstract: A universal distributed search system allows users to find and distribute search results (possibly including advertisements) to those with whom they communicate. The search results can be easily distributed by the user via a simple interface that allows the search results to be easily added to the user's content. Search queries entered by the user or search results received from search components may be automatically refined by the system.

Abstract: A system searches a first search index based on a search query to obtain first search results and searches a second search index based on the search query to obtain second search results. The system further ranks the first search results using a first ranking algorithm and one or more first ranking parameters to produce ranked first search results, and ranks the second search results using a second ranking algorithm and one or more second ranking parameters to produce second search results, where the one or more first ranking parameters are different than the one or more second ranking parameters and where the one or more second ranking parameters include at least one of previous user feedback associated with custom content that corresponds to the second search index, annotations of the custom content provided by a user, or usage patterns associated with users previously accessing and searching the custom content. The system also provides the ranked first and second search results to a user.

Abstract: A method for creating a virtual community of users is disclosed The method includes the steps of providing a community server operable to create a virtual community based upon an action performed by a user, and rendering community services to the virtual community of users based on the action. In another aspect of the invention, a method of searching based on an action based virtual community includes the steps of providing a community server operable to create a virtual community based upon a search action performed by a user, and rendering community services to the virtual community of users based on the search action, the rendered community services including information related to returned search results and search result relevance based on other user's actions.

Abstract: A method for providing selected content items to a user. The selection of content items is based on metadata pre-assigned to content items, typically authored content metadata, and on metadata generated and associated afterwards, called derived content metadata. Additionally, the selection of content items can be based also on context metadata, particularly derived context metadata. Derived metadata are automatically generated on the basis of derivation rules corresponding to algorithms to be applied to, e.g., the content of content items, authored content metadata and context metadata. User profiles can be used for improving the selection quality. A method is also disclosed for building and maintaining user profiles based on machine learning techniques.

Abstract: For filtering web search results, a method includes extracting metadata attributes and associated attribute values from web search results from a web search engine. The web search results organized into a results list with web page data grouped as an entry in the results list. The metadata attributes and associated attribute values extracted from the results list. The method includes presenting the extracted metadata attributes and receiving input from the user indicating one or more selected metadata attributes and a position indication for each selected metadata attribute. Each position indication indicates where in a custom report that attribute values for each selected metadata attribute are to appear. The method includes filtering the received results list based on the selected metadata attributes and displaying the filtered results list to the user in a custom report arranged by the selected position indication for each selected metadata attribute.

Abstract: Among other things, one or more techniques and/or systems are provided for developing a timeline chronicling events pertaining to an industrial asset. Data is received from a plurality of assets, processed (e.g., to reduce duplicative and/or redundant data), and organized chronologically for presentation in a timeline. The data is further grouped and/or prioritized to display some portions of the data more prominently relative to other portions of the data in the timeline (e.g., which may be hidden). Grouping rules and/or prioritization rules for grouping and/or prioritizing the data may be a function of user interaction with the timeline and/or a function of a machine learning algorithm which may be configured to identify patterns in how users interact with the timeline based upon, among other things, a role the user plays relative to the industrial asset and/or an operating state of the industrial asset.

Abstract: A system and method for highlighting particular search results is described. The system receives information and data about retailers and users. The system then receives notice that a user has performed an Internet search (e.g., using a search engine), receives the search results from the Internet search, and modifies the search results at least partially based on the information associated with the various retailers and social network data. The system may provide special offers to the user, highlight specific retailers, and/or add new results customized for the user (e.g., based on the social network and/or other data).

Abstract: Prioritizing items based on user activity includes determining a user interest based on a current user activity and prioritizing items in a list presented in a display based on the user interest.

Abstract: In a web search optimization method, a keyword is inputted by a user, and an image of the user is captured to identify facial feature data of the user. When there is facial feature data matched with the identified facial feature data in a storage device of the electronic device, reference parameters which corresponds to the identified facial feature data are obtained, and web pages in a searched result relating to the keyword are ranked according to the reference parameters.

Abstract: A find engine provides a user with access to information via a find interface and a keep interface. The find interface accesses both a content search index and a personal search index; the keep interface accesses personal search index. The content search index lists document content, user generated content, and semantic vectors; the personal search index lists user generated content, user explicit gestures, and user implicit gestures. The user explicit gestures comprise keeps that are captured via the keep interface and that consist of any of one or more documents and sites from among the search results to which the user ascribes significance by affirmatively keeping the document or site. The keeps are preserved as one or more persistent search objects and the search results returned to the user are ranked and/or returned in response to the query at least in part in accordance with the keeps.

Abstract: Techniques for organizing information, such as documents, presentations, web sites and web pages, audiovisual media streams, and the like are describe. This disclosed techniques include creating and using an interest graph to support the distribution of information to a user via a feed containing information items likely to be of interest to the user. An interest graph expresses the affinity between people and information—the likelihood that a particular piece of information is of interest to a particular person. The interest graph is based on an understanding of relationships, monitoring of user behavior, and analysis of each piece of information. The interest graph represents many kinds of relationships, including: between users and other users, users and items, and users and collections. The interest graph can be computed using data both from a set of items and from user behavior.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving a query initial input from a user, in response to receiving the query initial input, determining a set of personalized query suggestions based on the query initial input, the set of personalized query suggestions including one or more content-based query suggestions that reflect at least one of user data associated with the user within one or more computer-implemented services and use of the one or more computer-implemented services by the user, and transmitting instructions to display the set of personalized query suggestions to the user.

Abstract: Techniques for organizing information, such as documents, presentations, web sites and web pages, audiovisual media streams, and the like are describe. This disclosed techniques include creating and using an interest graph to assist in a user's browsing of information. An interest graph expresses the affinity between people and information—the likelihood that a particular piece of information is of interest to a particular person. The interest graph is based on an understanding of relationships, monitoring of user behavior, and analysis of each piece of information. The interest graph represents many kinds of relationships, including: between users and other users, users and items, and users and collections. The interest graph can be computed using data both from a set of items and from user behavior.

Abstract: Method, device, and non-transitory storage medium to obtain program historical data and social network data associated with users that receive one or more programs via one or more channels; calculate a social similarity value; calculate a channel-interest similarity value; calculate a similarity index value based on the social similarity value and the channel-interest similarity value; calculate a program weight value for each program; calculate a stay-time, for each channel, that indicates a time period each of the users remained on each channel; calculate based on each program weight value, each stay-time, and each similarity index value, a channel weight for each channel; and select based on each channel weight, one or more channels to recommend to at least one of the users.

Abstract: Systems and techniques for mediating user communications. A user persona manager maintains one or more user profiles and manages user interactions with other parties and with service providers based on user preferences associated with the user profile or profiles selected for a particular interaction. The persona manager receives a single set of user authentication information to establish the user identity, and provides previously stored information to other parties and service providers as appropriate, and otherwise conducts user interactions involving communications initiated by or on behalf of the user. The persona manager also examines interactions initiated by others, selects user profiles appropriate to the interactions, and routes and responds to the interactions based on information stored in the user profiles.

Abstract: Described are a dynamic interest profile (DIP) system and method for dynamically tracking interests of a user based on personal information. The DIP system obtains electronic documents of the user from a document stream and processes the documents to obtain certain information therefrom. Based on the information obtained from the documents, the DIP system identifies terms, people, documents, and collections that are of importance to the user. These items of importance become part of a dynamic interest profile of the user. The dynamic interest profiles persist in a database. The DIP system also provides an application program interface (API) for accessing DIPs in the database. Application programs can employ this API to customize program behavior to the particular interests of the user executing those programs.

Abstract: In general, one aspect described can be embodied in a method for determining a classification for a query. The method can include receiving a request to determine whether to assign a classification to a first query, identifying a plurality of search entities that are associated with the first query based upon data associated with each of the plurality of search entities and the first query, and determining whether to assign the classification to the first query based upon classifications for the identified search entities.

Abstract: A method develops a user profile to indicate a user's topics of interest. Documents considered by a computer system to have been consumed by first user are identified. Document summaries are developed identifying concepts represented in each document and relative strength by which the concept is considered associated with the document, and are accumulated from all the identified documents into a profile for the first user. The user profile is stored in a user profile database in a storage medium accessible to the computer system. A system develops a user profile to indicate the user's topics of interest by identifying documents consumed by a user with a document summary for each document identifying concepts and their relative strength. Document summaries are accumulated into a profile for first user.