Review on Recommendation Systems Using Social Networking Sites

  Miss. Wanave Tejal Tanaji

With the increasing of big data era, opportunities and challenges are appearing in industry, organization and academic area. The growth of internet made it difficult to extract the relevant information from all the available online social media. It is essential to filter the information according to user’s efficiency. Recommendation system is an important way to find the more interesting data from huge repository. The different recommendation technique used like collaborative filtering, content based filtering, Hybrid recommender system, Real-time recommendation system, Single network based recommendation system, by giving the survey of all these system and problems associated with them, we can improve the quality of recommendation by using new approach i.e. Cross network recommendation system.

Keywords- Collaborative filtering, Content based filtering, Hybrid recommender, Real time recommendation system, Cross network recommendation, Cold start, and Sparsity issue.

Unique Identification Number - IJEDR1504181
Page Number(s) - 1056-1060
Pubished in - Volume 3 | Issue 4 | December 2015
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Miss. Wanave Tejal Tanaji,   "Review on Recommendation Systems Using Social Networking Sites", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.3, Issue 4, pp.1056-1060, December 2015, Available at :http://www.ijedr.org/papers/IJEDR1504181.pdf