Findings from School of Art in Security and Communication Networks Reported (Advertising Popularity Feature Collaborative Recommendation Algorithm Based on Attention-LSTM Model)

摘要

By a News Reporter-Staff News Editor at Network Daily News – New research on security and communication networks is the subject of a new report. According to news reporting originating from the School of Art by NewsRx correspondents, research stated, “To accurately predict the click-through rate (CTR) and use it for ad recommendation, we propose a deep attention AD popularity prediction model (DAFCT) based on label recommendation technology and collaborative filtering method, which integrates content features and temporal information.”