发明名称 Personalized Activity Stream Discovery System, Method, and Device
摘要 A personalized activity stream system, method, and device delivers a recommendation that is contextualized basis a selected item in an activity stream and that is personalized for a recommendation recipient consistent with an inference of the recommendation recipient's interests. Contextualization and personalization may be based on an automatic analysis of usage behaviors and/or content. The recommendation may be informed by an inference of an expertise level, and an explanation for the recommendation may be delivered to the recommendation recipient. The recommendation may be in accordance with an automatically determined geographic location associated with a location-aware portable device, as well as environmental conditions proximal to the portable device.
申请公布号 US2014358832(A1) 申请公布日期 2014.12.04
申请号 US201414456131 申请日期 2014.08.11
申请人 Flinn Steven Dennis;Moneypenny Naomi Felina 发明人 Flinn Steven Dennis;Moneypenny Naomi Felina
分类号 G06N99/00;G06N5/04 主分类号 G06N99/00
代理机构 代理人
主权项 1. A computer-implemented method, comprising: using a first computer-implemented system to receive an activity stream, wherein the activity stream comprises a first plurality of temporally sequenced computer-implemented objects, wherein each of the first plurality of temporally sequenced computer-implemented objects comprises content published by a user of a computer-implemented system; selecting a first computer-implemented object of the first plurality of temporally sequenced computer-implemented objects as a context for a recommendation; accessing a plurality of personalization values, wherein each of the personalization values is indicative of an automatically inferred level of interest between a recommendation recipient and each of a plurality of topics; accessing a topical affinity between the first computer-implemented object and a first topic of the plurality of topics; and receiving a recommendation that is generated for delivery to the recommendation recipient comprising a second computer-implemented object, wherein the recommendation is generated in accordance with the plurality of personalization values and the topical affinity.
地址 Sugar Land TX US