An Effective News Recommendation Method for Microblog User. (2nd April 2014)
- Record Type:
- Journal Article
- Title:
- An Effective News Recommendation Method for Microblog User. (2nd April 2014)
- Main Title:
- An Effective News Recommendation Method for Microblog User
- Authors:
- Gu, Wanrong
Dong, Shoubin
Zeng, Zhizhao
He, Jinchao - Other Names:
- Chen Z. Academic Editor.
Yu F. Academic Editor. - Abstract:
- Abstract : Recommending news stories to users, based on their preferences, has long been a favourite domain for recommender systems research. Traditional systems strive to satisfy their user by tracing users' reading history and choosing the proper candidate news articles to recommend. However, most of news websites hardly require any user to register before reading news. Besides, the latent relations between news and microblog, the popularity of particular news, and the news organization are not addressed or solved efficiently in previous approaches. In order to solve these issues, we propose an effective personalized news recommendation method based on microblog user profile building and sub class popularity prediction, in which we propose a news organization method using hybrid classification and clustering, implement a sub class popularity prediction method, and construct user profile according to our actual situation. We had designed several experiments compared to the state-of-the-art approaches on a real world dataset, and the experimental results demonstrate that our system significantly improves the accuracy and diversity in mass text data.
- Is Part Of:
- TheScientificWorldjournal. Volume 2014(2014)
- Journal:
- TheScientificWorldjournal
- Issue:
- Volume 2014(2014)
- Issue Display:
- Volume 2014, Issue 2014 (2014)
- Year:
- 2014
- Volume:
- 2014
- Issue:
- 2014
- Issue Sort Value:
- 2014-2014-2014-0000
- Page Start:
- Page End:
- Publication Date:
- 2014-04-02
- Subjects:
- Science -- Periodicals
Technology -- Periodicals
Medicine -- Periodicals
505 - Journal URLs:
- https://www.hindawi.com/journals/tswj/biblio/ ↗
- DOI:
- 10.1155/2014/907515 ↗
- Languages:
- English
- ISSNs:
- 2356-6140
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 17095.xml