International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
Volume 159 - Issue 9 |
Published: Feb 2017 |
Authors: Shivani Bhosale, Pranjal Nimse, Siddhi Wadgaonkar, Aishwarya Yeole |
![]() |
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
@article{ 10.5120/ijca2017912880, author = { Shivani Bhosale,Pranjal Nimse,Siddhi Wadgaonkar,Aishwarya Yeole }, title = { SuggestABook: A Book Recommender Engine with Personality based Mapping }, journal = { International Journal of Computer Applications }, year = { 2017 }, volume = { 159 }, number = { 9 }, pages = { 1-4 }, doi = { 10.5120/ijca2017912880 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2017 %A Shivani Bhosale %A Pranjal Nimse %A Siddhi Wadgaonkar %A Aishwarya Yeole %T SuggestABook: A Book Recommender Engine with Personality based Mapping%T %J International Journal of Computer Applications %V 159 %N 9 %P 1-4 %R 10.5120/ijca2017912880 %I Foundation of Computer Science (FCS), NY, USA
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.