发明名称 System and method for personalized search
摘要 A system and method for personalized search. The system includes a search engine that receives search input from a user and a user identification and generates a search result based on the search input; and a profiling engine to gather profile data, generate a user profile associated with a user, and rank the search result personalized to the specific user using the user profile.
申请公布号 US9460212(B2) 申请公布日期 2016.10.04
申请号 US200812327522 申请日期 2008.12.03
申请人 PAYPAL, INC. 发明人 Wu Xiaoyuan;Bolivar Alvaro;Hu Wenyan;Wang Qiang
分类号 G06F17/30 主分类号 G06F17/30
代理机构 Maschoff Brennan 代理人 Maschoff Brennan
主权项 1. A method for providing search results on a search engine, the method comprising: gathering a plurality of profile data; generating a user profile associated with a user identification using the plurality of profile data, wherein the user profile comprises a plurality of weight values with each weight value of the plurality of weight values associated with a corresponding feature category of a plurality of feature categories, wherein the weight value for each of the feature categories is based on an amount of personalization data of the plurality of profile data associated with the corresponding feature category; receiving a search input from a user and the user identification; generating a plurality of feature scores, each feature score associated with one of the plurality of feature categories based on the search input; and creating a ranked search result personalized to the specific user using the user profile, the creating of the ranked search result comprising: identifying a user preferred category for the user based on the user profile and the search input from the user;identifying the plurality of feature scores;identifying the weight values for each of the plurality of feature scores;determining each of the plurality of feature scores for each of the plurality of search result items;determining a total score for each of the plurality of search result items based on the feature scores for each of the plurality of search result items and the weights for each of the plurality of feature scores;ranking the plurality of search result items based on the total score; anddetermining a first feature category of the plurality of feature categories comprising a keyword desirability category, wherein each feature score associated with the keyword desirability category is based on a likelihood that a particular search result is a desired item based on the search input and a set of search results obtained from aggregate data from users who made similar queries.
地址 San Jose CA US