書誌事項
- タイトル別名
-
- An Empirical Study of User Awareness by Visualizing User Profile for Information Recommendation
抄録
Many recommender systems construct user profiles by conducting machine learning on users' preference data for showing users their favorite items. Traditionally, researchers of recommender systems have pursued the accuracy of the recommendation. However, recent research trends are changing to the value improvement on the overall services including recommendation process. We especially focused on users' notices while using recommender systems. If the acquired user profile is shown to the user, he might conceive some notices on his preference because user profiles are constructed implicitly based on the users' usual activities such as browsing and shopping. In this study, we investigate the relationship between the visualization of user profiles and their notices on their preferences.
収録刊行物
-
- 知能と情報
-
知能と情報 25 (1), 511-523, 2013
日本知能情報ファジィ学会
- Tweet
キーワード
詳細情報 詳細情報について
-
- CRID
- 1390001205187724160
-
- NII論文ID
- 130003368205
-
- ISSN
- 18817203
- 13477986
-
- 本文言語コード
- ja
-
- データソース種別
-
- JaLC
- Crossref
- CiNii Articles
- KAKEN
-
- 抄録ライセンスフラグ
- 使用不可