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<p>A book recommendation system based on named entities</p>

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Title Statement <p>A book recommendation system based on named entities</p>
 
Added Entry - Uncontrolled Name Sariki, Tulasi Prasad; VIT University
Kumar G, Bharadwaja
 
Uncontrolled Index Term Natural Language Processing, Recommendation Systems, Named Entity Extraction, content-based, similarity metrics, Text Mining
 
Summary, etc. Recommendation systems are extensively used for suggesting new items to users and play an important role in the discovery of relevant new items, be it books, movies or music. An effective recommendation system should provide heterogeneous results and should not be biased towards only the most popular items. Books are particularly well-suited to content-based filtering as they are now widely available in digital formats which can allow various text mining approaches to dig out content related information. This paper presents a framework to develop a content-based recommendation system for books which can further be integrated with a collaborative filtering model. The proposed content-based recommender will use the Named Entities as the basic criteria to rank books and give recommendations.
 
Publication, Distribution, Etc. Annals of Library and Information Studies (ALIS)
2018-04-18 08:48:09
 
Electronic Location and Access application/pdf
http://op.niscair.res.in/index.php/ALIS/article/view/19578
 
Data Source Entry Annals of Library and Information Studies (ALIS); ##issue.vol## 65, ##issue.no## 1 (2018): Annals of Library and Information Studies
 
Language Note en
 
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