Preference Based Book Recommendation System | Zendy

Aarti Deveshwar Rashmi Rashmi | Zendy; Y. Ramachandra | Zendy; Dr.U.P. Kulkarni | Zendy

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Preference Based Book Recommendation System

Author(s) -

Aarti Deveshwar Rashmi Rashmi,

Y. Ramachandra,

Dr.U.P. Kulkarni

Publication year - 2016

Publication title -

bonfring international journal of software engineering and soft computing

Language(s) - English

Resource type - Journals

eISSN - 2277-5099

pISSN - 2250-1045

DOI - 10.9756/bijsesc.8272

Subject(s) - preference , information retrieval , computer science , recommender system , statistics , mathematics

ISSN 2277-5099 | © 2016 Bonfring Abstract--Preference based Recommendation system deals with providing the service list to the users based on the preferences of the diverse users. Preferences play an important role in providing the appropriate services. User preferences are indicated by keywords and user-based collaborative algorithm is applied to generate the recommendations. In the current scenario, most of the recommendation systems suffer from issues such as scalability and efficiency in order to overcome these issues, the system is implemented on Hadoop. Hadoop is distributed computing platform that makes use of MapReduce framework. In this project, Hadoop is implemented on single node cluster. This system improves the scalability and accuracy over the existing systems.

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