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SuggestABook: A Book Recommender Engine with Personality based Mapping
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 159 - Number 9 |
| Year of Publication: 2017 |
| Authors: Shivani Bhosale, Pranjal Nimse, Siddhi Wadgaonkar, Aishwarya Yeole |
10.5120/ijca2017912880
|
Shivani Bhosale, Pranjal Nimse, Siddhi Wadgaonkar, Aishwarya Yeole . SuggestABook: A Book Recommender Engine with Personality based Mapping. International Journal of Computer Applications. 159, 9 ( Feb 2017), 1-4. DOI=10.5120/ijca2017912880
Abstract
Recommendation systems are used to filter information to seek or predict the preference of a user for a particular item. Online book recommender engines recommend books to the users based on their categories of interest. This paper proposes a book recommender system which accepts the user’s preferences as well as analyses Facebook profile to get user’s data and recommends books with a certain degree of support and confidence. It makes use of continuous learning algorithms for recommending books to the user each time the user is logged in. In case a user does not have a Facebook account, his preferences will be accepted explicitly.
References
- Mining Frequent Patterns without Candidate GenerationJiawei Han, Jian Pei and YiwenYinSchool of Computing ScienceSimon Fraser Universityfhan, peijian, yiweny g @cs.sfu.ca
- Hybrid book recommender system for an e-commerce application, Laxmi V, Dr M C Padma, Vol. 3, Issue 2, pp: (921-924), Month: April - June 2015
- Improving Recommendation Lists Through Topic Diversification, Cai-Nicolas Ziegler, Sean M. McNee, Joseph A. Konstan,Georg.Lau
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