Personalized News Recommender System |
Author(s): |
| Anusha Spandana , National Institute Of Engineering; B. S. Jayasri, National Institute Of Engineering |
Keywords: |
| Content Based Filtering, Collaborative Filtering, Hybrid Recommender Engine |
Abstract |
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As there is a vast collection of news sources around the globe, News recommender systems help users manage this by suggesting and filtering out articles which the user might be interested in. This helps in pointing the user to relevant items and thus avoiding extensive searching. Our system is an endeavor to achieve this. Moreover, we would like out an application to give recommendations which are at least comparable to other similar systems out there if not better. Our system exists to personalize the news for the individual user. |
Other Details |
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Paper ID: IJSRDV6I50242 Published in: Volume : 6, Issue : 5 Publication Date: 01/08/2018 Page(s): 453-456 |
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