Abstract:
The present disclosure describes computer-implemented methods and systems for providing and maintaining a limited iterative ontological notation (FIG. 1), built upon a three-value logic of existence or equivalence of patterns. Methods may be embodied as a self-referencing table with a finite collection of columns or as a property graph with a small count of fixed properties and a finite collection of edge types, each carrying a particular ontological interpretation and use. Isolation of information content from context and application of three value logic to pattern recognition produces a finite set of indexed notations which allow for leveraging of a fixed schema to enhance computing performance, reduce memory utilization and improve accessibility though enabling a user interface that does not require prior knowledge of graph database programming languages. Implementation embodiments include but are not limited to, formulaic, cyclical, graphical, tabular, Cartesian, hierarchical, object-oriented and transactional information sources.
Abstract:
In one embodiment, a user comment system receives a user comment associated with a content object, assigns one or more privacy settings to the user comment, and stores the user comment in a data store in association with an identifier unique to the content object.
Abstract:
Social networking systems create representations of events associated with deals and populate attributes of the event based on information associated with the deal. Examples of attributes populated based on the deal include location for the event, potential participants for the event, or time for the event. The deal can be a social deal that is activated by participation of multiple users of the social networking system. The social networking system synchronizes potential or actual participants for the event with potential or actual participants of the social deal. The social networking system identifies events represented in the social networking system that are associated with the deal and suggests possible interactions with the entities to users associated with the deal. For example, the social networking system may request the user to become member of a social group associated with the deal, or purchase another deal associated with the current deal.
Abstract:
A social networking system suggests deals relevant to a user. The deals are selected for suggestion based on social information associated with the user. Social information used for selecting candidate deals for a user includes information describing other users connected to the user and their associations with the candidate deals or with related deals, for example, deals from the same provider. Associations of connections of the user with the candidate deals may be determined based on actions associated with the candidate deals performed by the connections. The actions performed by the connections may be weighted based on types of the actions to determine a measure of relevance of the candidate deal for the user. Candidate deals are selected from a set of deals by applying deal targeting criteria received from deal providers. The deal targeting criteria specify attributes describing users to be targeted for a particular deal.
Abstract:
A social networking system suggests deals relevant to a user. The deals are selected for suggestion based on social information associated with the user. Deals presented to the user are categorized based on social information associated with the user including actions taken by connections of the user. Deals that are closely associated with each other based on social information are presented together via a user interface. For a particular deal, social information relevant to that deal is presented, including connections associated with the deal, social groups, social events, images, as well as other deals. Presentation of deals and information associated with the deals in a social context increases the likelihood of the user getting interested in the deal and performing actions related to the deal, for example, purchasing the deal or recommending the deal.
Abstract:
A social networking system suggests deals relevant to a user. The deals are selected for suggestion based on social information associated with the user. Social information used for selecting candidate deals for a user includes information describing other users connected to the user and their associations with the candidate deals or with related deals, for example, deals from the same provider. Associations of connections of the user with the candidate deals may be determined based on actions associated with the candidate deals performed by the connections. The actions performed by the connections may be weighted based on types of the actions to determine a measure of relevance of the candidate deal for the user. Candidate deals are selected from a set of deals by applying deal targeting criteria received from deal providers. The deal targeting criteria specify attributes describing users to be targeted for a particular deal.
Abstract:
Social networking systems allow users to track deals offered by deal providers. A user can send a request to follow a deal to the social networking system. The social networking system sends information describing actions associated with the deal performed by other users connected to the user via the social networking system. The actions associated with the deals can be interactions of users with the deal or interactions of users with objects associated with the deal. Examples of interactions with a deal include liking the deal, commenting on the deal, and recommending the deal. Examples of interactions with objects associated with the deal include commenting on a business profile associated with the deal and being tagged in an image of a location associated with the deal. The social networking system may provide information describing these interactions via a channel used for reporting information, for example, newsfeed.
Abstract:
In one embodiment, a social networking system receives a request by a first user for user comments associated with a content object, accesses a data store of user comments to retrieve a set of user comments associated with the content object, orders the set of user comments based on a time value associated with each comment of the set of user comment, adjusts the order of user comments based on social graph information of the first user, and presents the adjusted list of user comments to the first user.
Abstract:
The present disclosure describes computer-implemented methods and systems for providing and maintaining a limited iterative ontological notation (FIG. 1), built upon a three-value logic of existence or equivalence of patterns. Methods may be embodied as a self-referencing table with a finite collection of columns or as a property graph with a small count of fixed properties and a finite collection of edge types, each carrying a particular ontological interpretation and use. Isolation of information content from context and application of three value logic to pattern recognition produces a finite set of indexed notations which allow for leveraging of a fixed schema to enhance computing performance, reduce memory utilization and improve accessibility though enabling a user interface that does not require prior knowledge of graph database programming languages. Implementation embodiments include but are not limited to, formulaic, cyclical, graphical, tabular, Cartesian, hierarchical, object-oriented and transactional information sources.
Abstract:
In one embodiment, a social networking system receives a request by a first user for user comments associated with a content object, accesses a data store of user comments to retrieve a set of user comments associated with the content object, orders the set of user comments based on a time value associated with each comment of the set of user comment, adjusts the order of user comments based on social graph information of the first user, and presents the adjusted list of user comments to the first user.