Proceedings of the 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)

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A Scalable Movie Recommendation System on Search Engine

Authors
Mingruo Shi
Corresponding Author
Mingruo Shi
Available Online May 2017.
DOI
10.2991/icmeit-17.2017.37How to use a DOI?
Keywords
Recommendation, Content based filtering, Ranking, Hadoop
Abstract

A recommendation system is increasing important in online video application, news recommendation and electronic commerce especially in search engine. Recommendation on search engine are more related to hundreds of million users like Google, Bing and Baidu. Our proposed filtering solution is based on content match to handle large number of users and movies for search engine.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)
Series
Advances in Computer Science Research
Publication Date
May 2017
ISBN
978-94-6252-338-8
ISSN
2352-538X
DOI
10.2991/icmeit-17.2017.37How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - CONF
AU  - Mingruo Shi
PY  - 2017/05
DA  - 2017/05
TI  - A Scalable Movie Recommendation System on Search Engine
BT  - Proceedings of the 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)
PB  - Atlantis Press
SP  - 205
EP  - 208
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-17.2017.37
DO  - 10.2991/icmeit-17.2017.37
ID  - Shi2017/05
ER  -