Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering

An improvement of video recommender similarity measurement model

Authors
Zhenrong Deng, Xi Zhang, Xing Deng, Liang Xu, Wenming Huang
Corresponding Author
Zhenrong Deng
Available Online April 2015.
DOI
https://doi.org/10.2991/amcce-15.2015.122How to use a DOI?
Keywords
Recommender System; Collaborative Filtering; Item Attribute; Similarity
Abstract
Collaborative recommender systems have succeeded in capturing the similarity between users and items based on ratings. However, they have rarely considered about the available information of the multimedia such as categories, delivery time and so on. Such information are valuable and feasible to solve rating bias problems in recommender systems. We found that user described their preferences directly to the item rating data is not comprehensive. In this paper, we design IBHF (Item-attribute Based Hybrid Filtering) based on movie features of the multimedia information. In the IBHF, we provide recommendation service by new Pearson method which is a similarity measure technique used to integrate movie attributes into the Item-based collaborative filtering (IBCF) framework in hopes of achieving better performance. The experiment prove that this method can make the items recommendation more ideal, and also provides a solution to solve the cold start problem to different recommendation items.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2015 International Conference on Automation, Mechanical Control and Computational Engineering
Part of series
Advances in Intelligent Systems Research
Publication Date
April 2015
ISBN
978-94-62520-64-6
ISSN
1951-6851
DOI
https://doi.org/10.2991/amcce-15.2015.122How 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  - Zhenrong Deng
AU  - Xi Zhang
AU  - Xing Deng
AU  - Liang Xu
AU  - Wenming Huang
PY  - 2015/04
DA  - 2015/04
TI  - An improvement of video recommender similarity measurement model
BT  - 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.122
DO  - https://doi.org/10.2991/amcce-15.2015.122
ID  - Deng2015/04
ER  -