Persomalized recommendation system K-neighbor algorithm optimization

DOI

10.2991/icitel-15.2016.24How to use a DOI?

Keywords

Persomalized recommendation ;K-nearest neighbors; collaborative filtering

Abstract

This paper mainly discussed the recommended userbased collaborative filtering algoeithm. from the modeling system to generate recommeded to do a detailed discussion of the results, and pointed out the problems in the K-nearest neighbors algorithm. Proposed to the K-nearest neighbors algorithm improvement program. also pointed out the advantages and disadvantages of personalized recommendation algorithm, and noted that the focus for future development.

Copyright

© 2016, 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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TY  - CONF
AU  - Huanming Wang
AU  - Ge Yu
PY  - 2016/03
DA  - 2016/03
TI  - Persomalized recommendation system K-neighbor algorithm optimization
BT  - Proceedings of the 1st International Conference on Information Technologies in Education and Learning
PB  - Atlantis Press
SP  - 105
EP  - 108
SN  - 2352-538X
UR  - https://doi.org/10.2991/icitel-15.2016.24
DO  - 10.2991/icitel-15.2016.24
ID  - Wang2016/03
ER  -