摘要:
An embodiment of the present invention provides a mobile device, comprising a processor adapted to use probabilistic techniques in trending and profiling of a user of the mobile device's behavior in order to offer recommendations by detecting patterns in the user behavior over time and thereby enabling said mobile device to predict what the user is likely to do on a given day or what the user intends to accomplish in an action that has begun.
摘要:
An embodiment of the present invention provides a mobile device, comprising a processor adapted to deliver purchase recommendations to a user of the mobile device based on an interactive mobile shopping application by interacting by the user with the mobile device, and on which the interactive mobile shopping application resides, to refine the user's interests and obtain recommendations for alternative products that may better fit the user's needs, and wherein the mobile device is further adapted to collect information about the user's in-market interests and overall shopping patterns thereby allowing opportunities for targeted advertising.
摘要:
An embodiment of the present invention provides a method, comprising identifying in-market purchasing interests and representing them as a user goal to determine when a user is in-market for a specific product and to determine general shopping preferences and habits of the user, and wherein the goal has a timeline, and goal satisfaction can be identified via a variety of contextual inputs selected from the group consisting of: location; traces from online shopping activity; credit card bills; or a pay-by-phone transactions.
摘要:
Machine-readable media, methods, apparatus and system for a community-based trust are provided. In an embodiment, it may be determined whether a requesting node obtains a trust from a targeting node through an endorsement from an intermediate node. If the requesting node obtains the trust through the endorsement from the intermediate node, an intermediate trust level that indicates how much the targeting node trusts the intermediate node may be obtained; and a new trust level that indicates how much the targeting node trusts the requesting node may be calculated based upon the intermediate trust level.