公开(公告)号：US20140108327A1

公开(公告)日：2014-04-17

申请号：US14136477

申请日：2013-12-20

Applicant: YAHOO! INC.

Inventor： Theodoros Lappas ,  Kunal Punera ,  Tamas Sarlos

IPC: G06N7/00

CPC classification number: G06F17/30268 ,  G06F17/30876 ,  G06F17/30958 ,  G06N7/005 ,  G06Q10/00

Abstract: Descriptive data relating to at least a subset of a plurality of entities on a website is retrieved over a network. Endorsement data relating to the plurality of entities is retrieved from the website. A first set of probabilities is determined reflecting a probability that endorsements can be attributed to specific aspects. A second set of probabilities is determined reflecting a probability that terms can be attributed to aspects. Using the first set of probabilities and the second set of probabilities, a subset of the terms that are most probably associated with each entity are selected. Tags are then generated for each entity using the selected terms.

Abstract translation: 通过网络检索与网站上的多个实体的至少一个子集有关的描述性数据。 从网站检索与多个实体相关的认可数据。 确定第一组概率，反映出可以将认可归因于特定方面的概率。 确定第二组概率，反映术语可归因于方面的概率。 使用第一组概率和第二组概率，选择最可能与每个实体相关联的项的子集。 然后使用所选项来为每个实体生成标签。