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An Effective News Recommendation Method for Microblog User
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 ne...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3996875/ https://www.ncbi.nlm.nih.gov/pubmed/24983011 http://dx.doi.org/10.1155/2014/907515 |
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author | Gu, Wanrong Dong, Shoubin Zeng, Zhizhao He, Jinchao |
author_facet | Gu, Wanrong Dong, Shoubin Zeng, Zhizhao He, Jinchao |
author_sort | Gu, Wanrong |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-3996875 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-39968752014-06-30 An Effective News Recommendation Method for Microblog User Gu, Wanrong Dong, Shoubin Zeng, Zhizhao He, Jinchao ScientificWorldJournal Research Article 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. Hindawi Publishing Corporation 2014 2014-04-02 /pmc/articles/PMC3996875/ /pubmed/24983011 http://dx.doi.org/10.1155/2014/907515 Text en Copyright © 2014 Wanrong Gu et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Gu, Wanrong Dong, Shoubin Zeng, Zhizhao He, Jinchao An Effective News Recommendation Method for Microblog User |
title | An Effective News Recommendation Method for Microblog User |
title_full | An Effective News Recommendation Method for Microblog User |
title_fullStr | An Effective News Recommendation Method for Microblog User |
title_full_unstemmed | An Effective News Recommendation Method for Microblog User |
title_short | An Effective News Recommendation Method for Microblog User |
title_sort | effective news recommendation method for microblog user |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3996875/ https://www.ncbi.nlm.nih.gov/pubmed/24983011 http://dx.doi.org/10.1155/2014/907515 |
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