A Recommender System For Social Book Search

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A Recommender System For Social Book Search

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Information retrieval (IR) is a field of computing which deals with storing and retrieving document information. The World Wide Web (WWW) contains a vast amount of information. Storage and retrieval of this information is a huge task. Extensible Markup Language (XML) is used to represent documents so that portions (or elements) may be effectively retrieved. INEX (Initiative for the Evaluation of XML retrieval) is a forum for experimental XML retrieval. It is used to evaluate XML retrieval systems and provides a number of tracks (e.g., Social Book Search, Linked Data, and Tweet Contextualization) and evaluation strategies for the systems designed by competing teams. It also provides a set of XML documents and queries that can be used as a test bed. This thesis focuses on the 2014 INEX Social Book Search (SBS) Suggestion task. The goal of this track is to provide support to users in searching and navigating a large set of books using professional and metadata and user-generated content. In this task, given book requests from LibraryThing discussion forums and a collection of 2.8 million book descriptions from Amazon and LibraryThing, a ranked list of book suggestions is returned to the user. The methodology (based on traditional retrieval and recommendation), the experimental results, and conclusions are described herein.



University of Minnesota M.S. thesis. August 2014. Major: Computer Science. Advisor: Carolyn Crouch. 1 computer file (PDF); vi, 21 pages.

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Thotempudi, Vamshi Krishna. (2014). A Recommender System For Social Book Search. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/191210.

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