In one embodiment, a method includes identifying one or more first users of a social-networking system associated with one or more content objects not previously viewed by a second user. The identification is based at least in part on an affinity of the second user for the first users and the first users are connected to the second user on a social graph. The method also includes providing, for display on a client device of the second user, information indicating that one or more of the identified first users has content objects not previously viewed by the second user; receiving an input selecting one of the identified first users; and providing, for display on the client device, an online page comprising content associated with the selected first user that incorporates one or more of the content objects not previously viewed by the second user.

Various computational systems may benefit from improvement in determining optimal allocation. For example certain social network advertisement systems may benefit from the use of hyperbolic embedding. A method, according to certain embodiments, can include obtaining a group of users as potential advertising targets. The method can also include mapping the group of users to a hyperbolic space. The method can further include expressing sets of users from the group of users as continuous subsets of the hyperbolic space. The method can additionally include determining influence for the expressed sets of users as sets. The method can also include allocating one or more of the sets to an advertising campaign based on the determined influence.

A system is disclosed that incorporates mobile devices (such as mobile phones or smart watches), a user profile stored in the cloud, and a triggered device (e.g., point-of-sale terminals or ATM terminals) such that the mobile devices communicate user interactivity information to the triggered device, and the triggered device provides transactional predictions, recommendations, and preferences to the user to interact before making purchases on the triggered device.

Information on a click stream associated with a user and meta tags commonly used by search engines can be used to profile a user. The click stream may comprise network addresses and timestamps and may be the only source of user information used for the profile. The meta tags may contain metadata that correspond to the network addresses in the click stream, including network address categorization for these network addresses. The profile obtained for the user may be an existing profile that represents a person or a theoretical individual having attributes similar to or most closely match the user. Based at least in part on the profile, information regarding an item may be provided to the user or the item may be offered to the user. Information may be filtered before being displayed to the user.

A method of delivering advertising in an online environment includes determining a context of a user operating a client computer to interact with an e-commerce website, where the determined context representing an intent of the user to locate a product for purchase, defining a relation between one or more of a plurality of advertisements and the product based on at least one of a plurality of relevance types, and displaying, to the user, at least one of the advertisements having the relation to the product.

An advertising network includes a first network server containing real world media of consumers from a live event, a second network server containing sample media, virtual world media, and supporting meta data belonging to vendors, merchants, or service providers, a server interface to the first server distributed to consumer and third party computing appliances and a non-transitory medium resident on the first server containing machine-readable code thereon, the code instructing the first server to (a) process the real world media against sample media to identify virtual objects associated with virtual world media and supporting meta data, (b) upon recognition of a virtual object(s), retrieving associated virtual world media and supporting meta data, (c) integrating the retrieved virtual world media and supporting meta data with the real world media producing an augmented reality overlay layer, and transmitting that to a computing appliance operated by the consumer for display and interaction.

Example systems and methods for context-aware recommendation generation are described. In one implementation, item models are built using user preference data of multiple users and item information of multiple items. When a recommendation request corresponding to a user is received, the profile of that user is retrieved from the user profile database. Given the profile of the user and the item models, utility scores are then computed for the candidate items. Our system exploits a novel approach to detect any sudden and significant changes in the preference data of the given user. If a change is detected, the utility scores are adapted to prioritize the user's most recent preferences. The computed utility scores are used as the basis for ranking the items. A subset of items with highest scores is then selected as recommendations and is presented to the user.

A real-time content identification and tracking system enabling monitoring of television programming consumption specific to an individual television or other viewing device. Metrics collected may include data regarding viewing of specific broadcast media, commercial messages, interactive on-screen information or other programming, as well as locally cached, time-shifted programming. Information about media consumption by such specific television sets or other viewing means may be returned to a commercial client of the system through a trusted third-party intermediary service and, in certain embodiments, encoded tokens may be used to manage the display of certain events as well as to enable robust auditing of each involved party's contractual performance.

A non-transitory recording medium storing a program that causes a computer to execute a process, the process including: generating a modified image by executing modification processing on an image of a mark affixed to a product; and providing the generated modified image as a determination-use image employable in determination as to whether or not the product affixed with the mark is included in a captured image.

Systems and methods are presented for adding system-identified content to a user's content space based on information identified from the user's email account. In operation, after obtaining user authorization to access email items of an email account, the email items are iteratively processed. In processing each of the email items, one or more topics of a currently processed email item are identified. Based on the identified topics and user preferences, one or more content items may be identified for addition to the user's online content space. Additionally, the information identified from processing the one or more email items is used to update the user's preferences.