Learning To Rank在个性化电商搜索中的应用.pdf
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1、Learning To Rank在个性化电商搜索中的应用 吴晨 (搜索 BG: Natural Artificial Intelligence) 2016.10.22 Background Learning to Rank Personalized E-Commerce Search Summary Reference 2 Outline Predict relevance scores and re-rank products returned by an e-commerce search engine on the search engine result page (SERP) Dat
2、a Using Search, browsing, and transac2on histories for all users and specically the user interac2ng with the search engine in the current session Product proper2es and meta-data Method Using Machine Learning (e.g. RankSVM, LambdaMart) Ranking Func2on (e.g. BM25, Cosine Similarity) 3 Background LEARN
3、ING TO RANK 4 Ranking Problem Learning to Match? Methods Pointwise Pairwise Listwise Theory (PAC) Generalization Stability Applications Search Recommender System Question Answering Sentiment Analysis 5 Introduc:on Machine Learning Supervised learning with labeled data Ranking of objects by subject F
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