International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

Downloads: 121 | Views: 172

Survey Paper | Computer Science & Engineering | India | Volume 6 Issue 5, May 2017

Cross Domain Recommendation System

Komal Shresth | Varshaa | Bhawesmita

Abstract: Recommendation in cross domain is upcoming topic in recommender systems. Its main aim is to reduce/remove sparsity problem in individual collaborative filtering domains by transferring knowledge among related domains. Online shopping is getting trendy by each day. In today's modern world everyone looks for the shortest possible way to buy the best item in the short period of time. Recommendation system is a process in which data is taken according to the interest of user and suggestion is provided according to their choice. But the only drawback is that it deals with only single domain in the classical recommender system. Relationship between two sets of items from various domains are shown under cross domain recommendation system, also provides an extra information about the new users and new item.

Keywords: Contextual Feature, Prediction, Grouping

Edition: Volume 6 Issue 5, May 2017,

Pages: 281 - 283

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