Difference between revisions of "Bookmark Recommendation in Social Bookmarking Services Using Wikipedia"
(Bookmark Recommendation in Social Bookmarking Services Using Wikipedia - new page) |
(Int.links) |
||
| Line 1: | Line 1: | ||
| − | '''Bookmark Recommendation in Social Bookmarking Services Using Wikipedia''' - scientific work related to Wikipedia quality published in 2013, written by Takumi Yoshida and Ushio Inoue. | + | '''Bookmark Recommendation in Social Bookmarking Services Using Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2013, written by [[Takumi Yoshida]] and [[Ushio Inoue]]. |
== Overview == | == Overview == | ||
| − | Social bookmarking systems allow users to attach freely chosen keywords as tags to bookmarks of web pages. These tags are used to recommend relevant bookmarks to other users. However, there is no guarantee that every user get enough bookmark recommended, because of the diversity of tags. In this paper, authors propose a personalized recommender system using Wikipedia. Authors system extends a tag set to find similar users and relevant bookmarks by using the Wikipedia category database. The experimental results show that significant increase of relevant bookmarks recommended without notable increase of the noise. | + | Social bookmarking systems allow users to attach freely chosen keywords as tags to bookmarks of web pages. These tags are used to recommend relevant bookmarks to other users. However, there is no guarantee that every user get enough bookmark recommended, because of the diversity of tags. In this paper, authors propose a personalized recommender system using [[Wikipedia]]. Authors system extends a tag set to find similar users and relevant bookmarks by using the Wikipedia category database. The experimental results show that significant increase of relevant bookmarks recommended without notable increase of the noise. |
Revision as of 14:39, 4 August 2019
Bookmark Recommendation in Social Bookmarking Services Using Wikipedia - scientific work related to Wikipedia quality published in 2013, written by Takumi Yoshida and Ushio Inoue.
Overview
Social bookmarking systems allow users to attach freely chosen keywords as tags to bookmarks of web pages. These tags are used to recommend relevant bookmarks to other users. However, there is no guarantee that every user get enough bookmark recommended, because of the diversity of tags. In this paper, authors propose a personalized recommender system using Wikipedia. Authors system extends a tag set to find similar users and relevant bookmarks by using the Wikipedia category database. The experimental results show that significant increase of relevant bookmarks recommended without notable increase of the noise.
