IR @ Nirma University
Keeping in tune the global developments we are creating an institutional repository using DSpace Software (Digital Library Software). We are archiving institutional knowledge like, faculty papers, theses, and dissertations in PDF format at DSpace. Students can access this digital information anywhere in the campus.
Please use this identifier to cite or link to this item:
http://10.1.7.192:80/jspui/handle/123456789/5468| Title: | "A Survey for Recommeder System " - With Latest Challenges |
| Authors: | Patel, Jitali |
| Keywords: | Collaborative Filtering Content Based Filtering Hybrid Filtering Personalized Recommendation Recommender System Computer Faculty Paper Faculty Paper ITFCE035 |
| Issue Date: | Jun-2014 |
| Series/Report no.: | ITFCE035-1; |
| Abstract: | Today people are flooded with many options on internet. Recommender system collect information about the item according to the preferences of the users. Recommender system are successfully implemented in different e-commerce setting. The objective of this paper is to show various techniques being used for recommendation and to discuss various challenges especially for the web media sites. |
| Description: | International Journal Of Advanced Research In Engineering & Technology, Vol. 5 (6), June, 2014, Page No. 15 - 22 |
| URI: | http://hdl.handle.net/123456789/5468 |
| Appears in Collections: | Faculty Papers, CE |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ITFCE035-1.pdf | ITFCE035-1 | 296.41 kB | Adobe PDF |  View/Open |
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