| タイトル |
-
Integrating Community Context Information Into a Reliably Weighted Collaborative Filtering System Using Soft Ratings
|
| 作成者 |
|
| 権利情報 |
-
This is the author's version of the work. Copyright (C) 2017 IEEE. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2017, DOI:10.1109/TSMC.2017.2726547. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
|
| 主題 |
-
Other
Dempster-Shafer theory (DST)
-
Other
Recommender systems
-
Other
Uncertain reasoning
|
| 内容注記 |
-
Other
In this paper, we aim at developing a new collaborative filtering recommender system using soft ratings, which is capable of dealing with both imperfect information about user preferences and the sparsity problem. On the one hand, Dempster-Shafer theory is employed for handling the imperfect information due to its advantage in providing not only a flexible framework for modeling uncertain, imprecise, and incomplete information, but also powerful operations for fusion of information from multiple sources. On the other hand, in dealing with the sparsity problem, community context information that is extracted from the social network containing all users is used for predicting unprovided ratings. As predicted ratings are not a hundred percent accurate, while the provided ratings are actually evaluated by users, we also develop a new method for calculating user-user similarities, in which provided ratings are considered to be more significant than predicted ones. In the experiments, the developed recommender system is tested on two different data sets; and the experiment results indicate that this system is more effective than CoFiDS, a typical recommender system offering soft ratings.
-
Other
identifier:https://dspace.jaist.ac.jp/dspace/handle/10119/15297
|
| 出版者 |
Institute of Electrical and Electronics Engineers (IEEE)
|
| 日付 |
|
| 言語 |
|
| 資源タイプ |
journal article |
| 出版タイプ |
AM |
| 資源識別子 |
URI
http://hdl.handle.net/10119/15297
|
| 関連 |
-
isIdenticalTo
DOI
https://doi.org/10.1109/TSMC.2017.2726547
|
| 収録誌情報 |
-
-
IEEE Transactions on Systems, Man, and Cybernetics: Systems
-
開始ページ1
終了ページ13
|
| ファイル |
|
| コンテンツ更新日時 |
2021-04-14 |
