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Machine-Learned Ranking Algorithms for E-commerce Search and Recommendation Applications

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개인저자Goswami, Anjan.
단체저자명University of California, Davis. Computer Science.
서명/저자사항Machine-Learned Ranking Algorithms for E-commerce Search and Recommendation Applications.
발행사항[S.l.] : University of California, Davis., 2018
발행사항Ann Arbor : ProQuest Dissertations & Theses, 2018
형태사항188 p.
소장본 주기School code: 0029.
ISBN9780438289369
일반주기 Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Advisers: Prasant Mohapatra
요약Search is one of the most critical functionalities of an e-commerce site. Almost every e-commerce site provides a search box. A customer expresses her intent about a product or a category of products in the form of one or more keywords and enter
요약We begin with the aspect of the evaluation of the ranking algorithms for an e-commerce search and provide guidelines for conducting online randomized controlled experiments on a large e-commerce site. In this regard, we discuss managing biases,
요약Second, we define a formal framework for designing learning to rank (LTR) algorithms for e-commerce search optimizing the ranking for relevance, revenue, and discovery. We define a measure for discovery and describe the importance of that for an
요약Third, we address the problem of incorporating diversity in e-commerce search. We design a knapsack based semi-bandit optimization algorithm for simultaneously learning to diversify and maximizing the revenue. We show that the regret of the algo
요약Fourth, we address the problem of multi-objective learning to rank. We use the LambdaMart algorithm to realize our multi-objective algorithms. LambdaMart algorithm is widely used in Industry, won some recent "learning to rank" challenges. The au
요약Fifth, we address the problem of quantification and visualization of the excess supply and unmet demand using the contents of the queries and items. We show the impact of such content gap in search experience. We quantify the content gap definin
일반주제명Computer science.
언어영어
기본자료 저록Dissertation Abstracts International79-12B(E).
Dissertation Abstract International
대출바로가기http://www.riss.kr/pdu/ddodLink.do?id=T14997054

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