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: 119

Research Paper | Information Technology | India | Volume 5 Issue 7, July 2016


Recommendation Technique

Rajan Kasbe | Indira Bhattacharjee


Abstract: This technique in todays world is very important. Recommender systems are a useful alternative to search algorithm since they help users discover items they might not have found by themselves. A user who is interested in buying certain product might be interested in other product which is under same umbrella of products category recommended to them using this technique.


Keywords: Collaborative Filtering, Item based Filtering, Content based Filtering, Information Filtering System


Edition: Volume 5 Issue 7, July 2016,


Pages: 186 - 186


How to Download this Article?

You Need to Register Your Email Address Before You Can Download the Article PDF


How to Cite this Article?

Rajan Kasbe, Indira Bhattacharjee, "Recommendation Technique", International Journal of Science and Research (IJSR), Volume 5 Issue 7, July 2016, pp. 186-186, https://www.ijsr.net/get_abstract.php?paper_id=ART2016157

Similar Articles with Keyword 'Collaborative Filtering'

Downloads: 103

Research Paper, Information Technology, India, Volume 5 Issue 7, July 2016

Pages: 1920 - 1924

Improving Stability, Smoothing and Diversifying of Recommender Systems

Sagar Sontakke | Pratibha Chavan

Share this Article

Downloads: 111

M.Tech / M.E / PhD Thesis, Information Technology, India, Volume 4 Issue 4, April 2015

Pages: 1788 - 1791

Provision of Content Based Service Recommendations using Hadoop and MapReduce

M. Vigneesh | K. Nimala

Share this Article
Top