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The nucleus of online sponsored search systems lies in measuring the relevance between the search intents of users and the advertising purposes of advertisers. Existing conventional doublet-based (query-keyword) relevance models solely rely on short queries and keywords to uncover such intents, which ignore the diverse and personalized preferences of participants. In this paper, we investigate the novel problem of Personalized Advertiser-aware Sponsored Search (PASS).
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Wei Zhang,Hongcheng Guo,Jian Yang, Yi Zhang, Chaoran Yan,Zhoujin Tian, Hangyuan Ji,Zhoujun Li,Tongliang Li,Tieqiao Zheng, Chao Chen, Yi Liang,
arxiv(2024)
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PROCEEDINGS OF THE 46TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, SIGIR 2023pp.2189-2193, (2023)
KDDpp.4924-4936, (2023)
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