发明名称 SYSTEMS AND METHODS FOR TREND AWARE SELF-CORRECTING ENTITY RELATIONSHIP EXTRACTION
摘要 Methods and systems for trend aware self-correcting entity relationship extraction are disclosed. For example, a method can include receiving a selected entity, determining a plurality of entities related to the selected entity, determining a plurality of most probable entities, calculating relevance scores, and displaying a subset of the plurality of most probable entities. The selected entity can be received on a network-based transaction system. The plurality of entities related to the selected entity can be determined based on a relationship score. The relationship score can represent navigation transitions, aggregated over time, between the selected entity and each of the plurality of entities. The plurality of most probable entities can be determined based on probabilities. Relevance scores can be calculated for each of the plurality of most probable entities. Finally, the subset of the plurality of most probable entities to be displayed can be determined according to the relevance scores.
申请公布号 US2016253592(A1) 申请公布日期 2016.09.01
申请号 US201615150954 申请日期 2016.05.10
申请人 eBay Inc. 发明人 Sinha Ayon
分类号 G06N5/04;G06N99/00;G06N7/00 主分类号 G06N5/04
代理机构 代理人
主权项 1. A method comprising: receiving a selected entity on a network-based transaction system; determining, based on a relationship score associated with each entity, a plurality of entities related to the selected entity, the relationship score representing navigation transition, aggregated over time, between the selected entity and each of the plurality of entities; determining, based on probabilities, a plurality of most probable entities from the plurality of entities related to the selected entity; calculating a relevance score for each of the plurality of most probable entities; and displaying a subset of the plurality of most probable entities, the subset of the plurality of most probable entities determined according to the relevance score for each of the plurality of most probable entities.
地址 San Jose CA US
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