動的なトピック分類を用いた推薦アルゴリズムの提案
スポンサーリンク
概要
- 論文の詳細を見る
The usefulness of a recommendation is determined by its accuracy. However, users are not always satisfied with only accuracy. The usefulness of a recommendation system is determined not only by its ability to recommend an item that the user knows but also by its ability to recommend one that the user does not know but may like. This means that the user's taste tendencies should be taken into account. We have developed an algorithm that extracts a topic from a user's rating history automatically and then diversifies the topics on the list of recommendations presented to the user. Experiments showed that the level of user satisfaction is higher with such a list than one created using collaborative filtering.
- 日本社会情報学会の論文
日本社会情報学会 | 論文
- 高齢者を考慮したコンピュータの操作指導に関する調査研究
- 計画情報学の情報環境としての社会情報学
- ハッシュ関数を用いた公平を電子抽選方法
- 立地コストからみた業務核都市へのオフィス立地に関する研究
- 「エージェント・ベース・モデリングの技術と応用」パネルディスカッション