IBCF Improved Algorithm Based on the Tag

DOI

10.2991/iccnce.2013.65How to use a DOI?

Keywords

IBCF, Tag, Collaborative Filtering

Abstract

When the traditional Item - Based collaborative filtering recommendation is computing the nearest neighbor set of items, relying on scoring matrix similarity degree evaluation standard is onefold. In order to calculate program similarity better, the improved algorithm brings in project-Tag matrix, which can get comprehensive similarity combined with the score matrix. The experimental results show that IBCF-TAG recommendation algorithm based on the Tag can achieve better accuracy of recommendation than traditional recommendation algorithm based on the item.

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  - Qiuyue Xu
AU  - Shangzhi Zheng
AU  - Min Cai
PY  - 2013/07
DA  - 2013/07
TI  - IBCF Improved Algorithm Based on the Tag
BT  - Proceedings of the International Conference on Computer, Networks and Communication Engineering (ICCNCE 2013)
PB  - Atlantis Press
SP  - 265
EP  - 268
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccnce.2013.65
DO  - 10.2991/iccnce.2013.65
ID  - Xu2013/07
ER  -