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

A Scalable Movie Recommendation System on Search Engine

Authors
Mingruo Shi
Corresponding Author
Mingruo Shi
Available Online May 2017.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)
Part of series
Advances in Computer Science Research
Publication Date
May 2017
ISBN
978-94-6252-338-8
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmeit-17.2017.37How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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