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기록

IDENTIFYING A TARGET CONTENT ITEM GROUP USING OFFLINE EMBEDDING BASED RETRIEVAL

발명심사 중
20청구항 · 3 독립항
§ Ⅰ

개요

발명자

Zian ZHAO; Yu LIU; Shao TANG; Jacqueline MORRIS; Atul UGALMUGALE; Jingtao TONG; Yi WU; Xiaowen ZHANG; Jae OH; Luke KOPAKOWSKI; Jing WANG; Haifeng ZHAO

IPC 분류

G6Q 30/251G6Q 30/204

CPC 분류

G6Q30/269G6Q30/205G6Q30/255

The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating a content item group comprising members that have interest in a content item. In particular, the disclosed systems can generate a member embedding by leveraging member activity feature data and member information feature data. The disclosed systems can further generate a content item embedding reflecting content item feature data. The disclosed systems may generate a similarity score between the member embedding and the content item embedding. Based on the similarity score meeting a threshold similarity score, the disclosed system can determine to include a member within a target content item group.

원문 (중국어)

The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating a content item group comprising members that have interest in a content item. In particular, the disclosed systems can generate a member embedding by leveraging member activity feature data and member information feature data. The disclosed systems can further generate a content item embedding reflecting content item feature data. The disclosed systems may generate a similarity score between the member embedding and the content item embedding. Based on the similarity score meeting a threshold similarity score, the disclosed system can determine to include a member within a target content item group.