发明名称 |
Determining user preference of items based on user ratings and user features |
摘要 |
A set of item-item affinities for a plurality of items is determined based on collaborative-filtering techniques. A set of an item's nearest neighbor items based on the set of item-item affinities is determined. A set of user feature-item affinities for the plurality of items and a set of user features is determined based on least squared regression. A set of a user feature's nearest neighbor items is determined based in part on the set of user feature-item affinities. Compatible affinity weights for nearest neighbor items of each item and each user feature are determined and stored. Based on user features of a particular user and items a particular user has consumed, a set of nearest neighbor items comprising nearest neighbor items for user features of the user and items the user has consumed are identified as a set of candidate items, and affinity scores of candidate items are determined. Based at least in part on the affinity scores, a candidate item from the set of candidate items is recommended to the user. |
申请公布号 |
US8301624(B2) |
申请公布日期 |
2012.10.30 |
申请号 |
US20090416036 |
申请日期 |
2009.03.31 |
申请人 |
PARK SEUNG-TAEK;CHU WEI;BEAUPRE TODD;AGARWAL DEEPAK K.;ROY SCOTT;RAMAKRISHNAN RAGHU;YAHOO! INC. |
发明人 |
PARK SEUNG-TAEK;CHU WEI;BEAUPRE TODD;AGARWAL DEEPAK K.;ROY SCOTT;RAMAKRISHNAN RAGHU |
分类号 |
G06F17/30 |
主分类号 |
G06F17/30 |
代理机构 |
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