CROSS DOMAIN RECOMMENDATION USING VECTOR MODELING AND GENRE CORRELATIONS

CROSS DOMAIN RECOMMENDATION USING VECTOR MODELING AND GENRE CORRELATIONS

Recommender systems are basically information retrieval systems that offer guidance to users in making individual decisions related to choosing items based on personal interests. On Internet, there are infinite numbers of results for a particular query like movies, music, books, clothes etc. Sorting...

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Bibliographic Details
Main Authors: Mala Saraswat, Shampa Chakraverty, Sakshi Garg, Sweta Nandal, Vibhav Agarwal
Format: Article
Language:English
Published: ICT Academy of Tamil Nadu 2018-04-01
Series:ICTACT Journal on Soft Computing
Subjects:
Cross Domain Recommender System
Cold Start Problem
Keywords
Vector Modeling
Genre Correlation
Online Access:http://ictactjournals.in/ArticleDetails.aspx?id=3425

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http://ictactjournals.in/ArticleDetails.aspx?id=3425

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