Systems and methods are operable to distribute targeted assets to a plurality of media devices. An exemplary embodiment generates an asset file defined by an asset file time period, wherein target assets are selected for saving into the asset file when the intended initial presentation time of a target asset falls within the asset file time period of the asset file that is being generated. Then, the asset file is communicated to a plurality of media devices at a time in advance of the intended initial presentation times of a target asset of the asset file.

A system and method is provided for using biometric data from an individual to determine at least one emotion, mood, physical state, or mental state (“state”) of the individual, which is then used, either alone or together with other data, to provide the individual with certain web-based data. In one embodiment of the present invention, a Web host is in communication with at least one network device, where each network device is operated by an individual and is configured to communicate biometric data of the individual to the Web host. The Web host is then configured to use the biometric data to determine at least one state of the individual. The determined state, either alone or together with other data (e.g., interest data), is then used to provide the individual with certain content (e.g., web-based data) or to perform a particular action.

Determining the relevancy of an item to a user on, for example, an e-commerce platform has various advantages. It is an objective to provide a computing apparatus for determining relevancy of items to a user. A computing apparatus is configured to calculate a user attribute profile vector based on a user action history of a user. The computing apparatus may then calculate a similarity score between the user attribute profile vector and an item attribute vector of an item. A client device, a computing apparatus, methods, and a computer program are described.

Text data transmitted by a user device to a first server is retrieved. The text data is processed to determine whether an information recommendation rule set includes an information recommendation rule matching the text data. The information recommendation rule is set based on a recommendation information. If the information recommendation rule set includes the information recommendation rule matching the text data, the recommendation information is retrieved from a second server. A recommendation based on the recommendation information is transmitted to the user device.

A system is disclosed for promoting a talent of a user. The system includes one or more application servers accessible over a wireless network, and a plurality of mobile clients configured to access the one or more application servers over the wireless network. The application servers and the mobile clients cooperate to execute a profiler mode of operation in which details of talents of profiler users are entered at respective mobile clients and uploaded to the application servers, each of the plurality of profiler users having a corresponding rank. The application servers and mobile clients also cooperate to execute a supporter mode of operation in which supporter users, using respective mobile clients, access the details of the talents and corresponding ranks of the profiler users. The supporter mode of operation facilitates advancement of a profiler user to a higher rank through receipt of endorsements.

Systems and methods for content aggregation creation are disclosed herein. The system can include memory having a content database and an aggregation database. The system can include a user device having a first network interface and a first I/O subsystem. The system can include a server that can: provide content to the user device via a first electrical signal; receive a selection of a portion of the provided content from the user device via a second electrical signal; automatically extract sentences from the selected portion of the provided content via a natural language processor; automatically generate a parse tree for one of the automatically extracted sentences; identify noun phrases from the part of speech tags within the parse tree; place content associated with one of the noun phrase in a content aggregation; and output the content aggregation to the user device.

Systems and methods for content aggregation creation are disclosed herein. The system can include memory having a content database and an aggregation database. The system can include a user device having a first network interface and a first I/O subsystem. The system can include a server that can: provide content to the user device via a first electrical signal; receive a selection of a portion of the provided content from the user device via a second electrical signal; automatically extract sentences from the selected portion of the provided content via a natural language processor; automatically generate a parse tree for one of the automatically extracted sentences; identify noun phrases from the part of speech tags within the parse tree; place content associated with one of the noun phrase in a content aggregation; and output the content aggregation to the user device.

In general, embodiments of the present invention provide systems, methods and computer readable media for ranking promotions selected for recommendation to consumers based on predictions of promotion performance and consumer behavior. In embodiments, a set of promotions to be recommended to a consumer can be sorted and/or ranked according to respective relevance scores representing a probability that the consumer's behavior in response to the promotion will match a ranking target. In embodiments, calculating scores is based on a relevance model (a predictive function) derived from one or more contextual data sources representing attributes of promotions and consumer behavior. In embodiments, an absolute relevance score represents an absolute prediction of a ranking target variable. In embodiments, absolute relevance may be used to determine personalized local merchant discovery frontiers; featured result set thresholding for impressions; and/or promotion notification triggers. In embodiments, predictive models based on gross revenue may be optimized using promotion category-dependent price boosting.

A system for online conversion attribution. The system includes a short uniform resource locator (URL) service programmed to, in response to receiving a short URL from a device: provide a cookie that includes a short URL ID to the device, and provide a short URL descriptor including the short URL ID to a user mapping service. The system further includes the user mapping service programmed to receive the short URL descriptor, receive a social media descriptor including a social media ID, map the short URL ID to the social media ID using the short URL descriptor and the social media descriptor, and attribute, using the mapping, a conversion on a website accessed using the device based upon receipt of the short URL ID from the device.

A commodity recommendation method, apparatus and system, and a computer readable storage medium. The method includes: analyzing an image of a specific offline customer currently entering a store to obtain an attribute of the specific offline customer; determining an online user matching the specific offline customer according to the attribute of the specific offline customer; constructing a collection of popular commodities of the store according to commodities corresponding to stay positions of offline customers who have entered the store before; and recommending a commodity to the specific offline customer according to a historical shopping information of the online user and the collection of popular commodities.