Improved Slope One Algorithm Based On Time Weight

DOI

10.2991/iccsee.2013.575How to use a DOI?

Keywords

Recommendation System, Collaborative Filtering, Slope One, Time Weighting

Abstract

Collaborative filtering is regarded as the most prevailing techniques for recommendation system. Slope one is a family of algorithms used for collaborative filtering. It is the simplest form of non-trivial item-based collaborative filtering based on ratings. But all the family of use CF algorithms ignores one important problem: ratings produced at different times are weighted equally. It means that they can’t catch user’s different attitudes at different time. So in this paper, we present a new algorithm, which could assign different weights for items at different time. Finally, we experimentally evaluate our approach and compare it to the original Slope One. The experiment shows that the new slope one algorithms can improve the precision

Copyright

© 2013, 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  - Tongqiang JIANG
AU  - Wei LU
PY  - 2013/03
DA  - 2013/03
TI  - Improved Slope One Algorithm Based On Time Weight
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 2295
EP  - 2297
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.575
DO  - 10.2991/iccsee.2013.575
ID  - JIANG2013/03
ER  -