Recommender System Challenges and Methodologies in Social Network: Survey
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

Survey Paper | Computer Science & Engineering | India | Volume 4 Issue 11, November 2015

Recommender System Challenges and Methodologies in Social Network: Survey

Himgauri D. Ambulkar, Apashabi Pathan

Recommender system aims to provide user with guidance related to the useful services based on their personalized service recommendation, Past behaviors or neighbors preferences. With the popularity of social network, many users like to share their views on social media such as rating, blogs, tweets etc, which helps to recommend users interest items. Service recommender system provides an appropriate recommendation of services like shopping, gadgets, hotels, movies etc, which produces big data on the web. This results in the problem of information overload. To get over this problem, Personalized Recommendation System have been affluently used. This paper presents a survey on various challenges and methodologies in recommendation system.

Keywords: Recommender System, Social Network, Collaborative Filtering, Interpersonal Interest

Edition: Volume 4 Issue 11, November 2015

Pages: 286 - 289

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How to Cite this Article?

Himgauri D. Ambulkar, Apashabi Pathan, "Recommender System Challenges and Methodologies in Social Network: Survey", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=NOV151061, Volume 4 Issue 11, November 2015, 286 - 289

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Recommender System Challenges and Methodologies in Social Network: Survey

Himgauri D. Ambulkar, Apashabi Pathan

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