发明名称 |
RECOMMENDATIONS IN A COMPUTING ADVICE FACILITY |
摘要 |
According to various embodiments, a ratings matrix including matrix values is generated, each row of the ratings matrix identifying one of a plurality of users, each column of the ratings matrix identifying one of a plurality of items, and each of the matrix values corresponding to a known affinity rating describing a degree of affinity associated with one of the users and one of the items. The ratings matrix may include a missing entry representing an unknown affinity rating. According to various embodiments, a revised ratings matrix is generated by factoring the ratings matrix into a user matrix and an item matrix, the revised ratings matrix being the product of the user matrix and the item matrix and including at least one entry representing a predicted affinity rating in place of the missing entry. |
申请公布号 |
US2015186383(A1) |
申请公布日期 |
2015.07.02 |
申请号 |
US201514659127 |
申请日期 |
2015.03.16 |
申请人 |
EBAY INC. |
发明人 |
Pinckney Thomas;Dixon Christopher;Gattis Matthew Ryan |
分类号 |
G06F17/30;G06N5/04;G06N99/00 |
主分类号 |
G06F17/30 |
代理机构 |
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代理人 |
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主权项 |
1. A method comprising:
generating a ratings matrix including matrix values, each row of the ratings matrix identifying one of a plurality of users, each column of the ratings matrix identifying one of a plurality of items, and each of the matrix values corresponding to a known affinity rating describing a degree of affinity associated with one of the users and one of the items, wherein the ratings matrix includes a missing entry representing an unknown affinity rating; and generating, using one or more processors, a revised ratings matrix by factoring the ratings matrix into a user matrix and an item matrix, the revised ratings matrix being the product of the user matrix and the item matrix and including at least one entry representing a predicted affinity rating in place of the missing entry. |
地址 |
San Jose CA US |