Abstract: The present teaching relates to streaming data querying and providing query results. In one example, a query is received for events happening after receipt of the query. A plurality of data records are obtained, where each of the data records corresponds to an event happening after receipt of the query. For each of the plurality of data records, it is determined whether the data record matches the query. Based on the determining, one or more query results are determined and provided as a response to the query.

Abstract: Systems, methods, and computer-readable media are provided for graph data modeling. In accordance with one implementation, a method is provided that includes operations performed by at least one processor. The operations of the method include receiving raw data and determining a model for the raw data, wherein the model defines the graph structure for the raw data. The method also includes converting the raw data to fit the model, and generating at least a portion of a graph based on the raw data and the model, wherein the graph produces modeled data. The method also includes archiving the graph.

Abstract: A system for generating an advertisement is provided. The system may receive an advertisement request from a client device and select an advertisement from a database in response to the advertisement request. The system may identify an advertiser web server associated with the advertisement, for example a landing page. The system may retrieve a picture from the advertiser web server and integrate the picture with the advertisement to generate an enhanced advertisement. The system may serve the enhanced advertisement to the client device.

Abstract: Information is collected about a user, e.g., the user's interests, from the user's interaction with digital messaging content. Information collected about the user can be used to identify an interest of the user. The identified interest(s) can be used to select content to be presented to the user. By way of a non-limiting example, information collected in response to the user clicking on a link in an electronic mail, email, message can be used to identify one or more content items to be presented to the user. By way of yet another non-limiting example, the identified content item(s) can comprise advertising content, news articles, etc.

Abstract: Techniques for identifying and validating online content items for presentation to users are disclosed. Disclosed systems and methods use a sentiment analyzer to determine a sentiment of a candidate content item and collateral content items identified using keywords associated with the candidate content item, determine a measure of agreement in sentiment using the sentiments determined for the candidate content item and collateral content items, and provide at least a portion of the candidate content item in a display at a client computing device, the display including a consensus belief indicator representing the measure of agreement in sentiment.

Abstract: One or more computing devices, systems, and/or methods are provided. A manifest associated with a first video may be generated. The manifest may include a first web address associated with accessing the first video, one or more first milestone markers of the first video, and/or one or more first beacon web addresses associated with the one or more first milestone markers. The manifest may be transmitted to a first client device. An indication addressed to a first beacon web address of the one or more first beacon web addresses may be received from the first client device. It may be determined, based upon the indication addressed to the first beacon web address, that the first client device displayed a first portion of the first video corresponding to a first milestone marker, of the one or more first milestone markers, associated with the first beacon web address.

Abstract: One or more computing devices, systems, and/or methods are provided. Event information associated with a plurality of events may be identified. The plurality of events may be associated with client devices and entities. A network profile associated with the client devices and the entities may be generated based upon the event information. A similarity profile associated with the client devices may be generated based upon the network profile. The similarity profile may be indicative of one or more similarity scores associated with a first client device and one or more client devices. A user profile associated with the first client device may be modified, based upon the similarity profile and/or one or more user profiles associated with the one or more client devices, to generate a modified user profile. Content may be selected for presentation via the first client device based upon the modified user profile.

Abstract: Systems, apparatuses, and methods are provided for determining a bid value for placing an advertisement onto advertising space available through an electronic marketplace. A method is used for calculating the option value of maintaining the advertisement in the advertising space during one or more periods of time. The option value may be based on expected profits and the estimated future value of maintaining the advertisement. The option value may then be used to calculate the bid price for placing the advertisement.

Abstract: The present teaching generally relates to providing optimized access control rules. A request may be received from a client device. A determination may be made, based on the request, that an update is needed for access control rule information for the client device. Rule data may be generated. The rule data may include a plurality of data buckets each including one or more access control rules, each data bucket of the plurality being associated with a range of destination port numbers, and where each of the one or more access control rules comprise a set of tuples having a common source network and source port number, and one or more destination port numbers associated with the common source network and source port number. The rule data may be sent to the client device.

Abstract: Methods for creating and updating rules for distribution of an online advertising inventory. The methods can include generating a rule conditions section of a GUI that is configured to display a plurality of parameters of a rule condition of a rule for distribution of an online advertising inventory. Each displayed parameter of the rule condition can be graphically represented by a basic shape (e.g., a hexagon). And, each basic shape of the rule condition can be labeled with an alphanumerical indication of the graphically represented parameter and can also be clustered together in the GUI. The methods can also include generating a rule summary section of the GUI that is configured to display a plurality of rule conditions of a rule. The methods can also include generating a rules list section of the GUI that is configured to display a plurality of rules for distribution of inventory.

Abstract: An email system is configured to enable a user to identify frequent email senders and block or consolidate emails from such senders. The emails received within a predetermined time period from a sender, who is selected for consolidation by a user of an email account, are consolidated into one entry in the inbox. This mitigates the inbox from getting overcrowded with frequent emails from various senders. Statistics related to various senders are also generated in order to aid the user in identifying senders whose emails need to be consolidated or blocked.

Abstract: A generation device according to the present application includes: an acquisition unit which acquires content targeted for disclosure (for example, an image which a user desires to disclose) and policy information which indicates a disclosure policy of the content (for example, a text which the user inputs as a caption of the image); and a generation unit which generates modified content in which a predetermined part of the content is modified based on the disclosure policy indicated by the policy information (for example, content in which an object identified based on the disclosure policy is emphasized).

Abstract: A facility for processing a search query is described. The facility identifies one or more items that satisfy the query, at least one of which is a media sequence. For each identified media sequence, the facility identifies an advertising message based upon the contents of the query. In response to the query, the facility returns a search result that indicates the identified items. When one of the identified media sequences is selected in the search result, the selected media sequence is provided in conjunction with the advertising message identified for it.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content providing, searching and/or hosting systems supported by or configured with devices, servers and/or platforms. The disclosed systems and methods provide a novel framework that provides an optimized ranking methodology for query suggestion and auto-completion tasks that messaging systems can implement and embed into their functionality. The disclosed framework can leverage the mail query logs on a personal level or on the aggregate (e.g., across all or a set of users on a network), and the mailbox content of each user to produce a comprehensive ranking function that generates ranked search suggestions for a mail search query for both person and company entities.

Abstract: A distribution of a content selection being distributed throughout a wireless mesh network may be tracked. A wireless device in the wireless mesh network enables the content selection to be exchanged. Wireless devices then exchange the content, and a network topology is recorded in response. Finally, the network topology is reported to a reporting agent.

Abstract: Computerized systems and methods are disclosed for performing contextual classification of objects using supervised and unsupervised training. In accordance with one implementation, content reviewers may review training objects and submit supervised training data for preprocessing and analysis. The supervised training data may be preprocessed to identify key terms and phrases, such as by stemming, tokenization, or n-gram analysis, and form vectorized objects. The vectorized objects may be used to train one or more models for subsequent classification of objects. In certain implementations, preprocessing or training, among other steps, may be performed in parallel over multiple machines to improve efficiency. The disclosed systems and methods may be used in a wide variety of applications, such as article classification and content moderation.

Abstract: An output apparatus according to the present application includes a prediction unit and an output unit. The prediction unit predicts whether or not waveform information having a predetermined context is generated on the basis of detection information detected by a predetermined detection device. The output unit outputs waveform information having an opposite phase to the waveform information having the predetermined context in a case where it has been predicted that the waveform information having the predetermined context is generated.

Abstract: A location-aware search assist capability identifies location-aware search query suggestions using location information associated with the location-aware search query suggestions. A user's search query input and location and a location associated with each location-aware search query suggestion candidates may be used to identify a set of search query suggestions for presentation to the user. Location-aware search query suggestion candidates may be ranked in accordance with a closeness of each one's location to the user's location. The ranking may be performed using a score, such as a popularity score associated with each search query suggestion candidate. The location-aware search query suggestion candidates having a location closer to the user's location may be promoted by adjusting each candidate's popularity score upward, and the search query suggestion candidates that are farther away from the user's location may be demoted by adjusting each such candidate's popularity score downward.

Abstract: An estimation device according to the present application includes an acquiring unit and an estimation unit. The acquiring unit acquires user relationship information indicating a similarity relationship between a plurality of users. The estimation unit estimates, based on feeling information on a similar user who is similar to one of the users in the user relationship information acquired by the acquiring unit, a feeling of the one of the users.

Abstract: One or more computing devices, systems, and/or methods are provided. In an example, an internet resource identification item associated with one or more internet resources may be identified. User activity information associated with a plurality of events may be analyzed to determine a plurality of sets of text associated with the internet resource identification item, wherein each set of text of the plurality of sets of text is associated with an event, of the plurality of events, associated with an internet resource of the one or more internet resources. A plurality of term representations may be determined based upon the plurality of sets of text. A user intention-based representation associated with the internet resource identification item may be generated based upon the plurality of term representations. A content item may be selected for presentation via a client device based upon the user intention-based representation.