Semantic-Based Recommendation Method for Sport News Aggregation System - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2016

Semantic-Based Recommendation Method for Sport News Aggregation System

Quang-Minh Nguyen
  • Function : Author
  • PersonId : 1022321
Thanh-Tam Nguyen
  • Function : Author
  • PersonId : 1022322
Tuan-Dung Cao
  • Function : Author
  • PersonId : 1022323


News on the Internet today plays an important role in helping people access daily information around the world. News aggregators are websites that collect and provide content from different sources in one location for easy viewing. However, the increasing number of news on the Internet makes it difficult for readers when they desire to access news they are concerned. One solution to this issue is based on employing recommender systems. In this research, we propose a novel method for news recommendation based on a combination of semantic similarity with content similarity between news and implement it as a feature of semantic-based news aggregators BKSport. Experimental results have shown that, a combination of both kind of similarity measures will result in better recommendation than when using either measure separately.
Fichier principal
Vignette du fichier
432749_1_En_3_Chapter.pdf (749.52 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-01630538 , version 1 (07-11-2017)





Quang-Minh Nguyen, Thanh-Tam Nguyen, Tuan-Dung Cao. Semantic-Based Recommendation Method for Sport News Aggregation System. 10th International Conference on Research and Practical Issues of Enterprise Information Systems (CONFENIS), Dec 2016, Vienna, Austria. pp.32-47, ⟨10.1007/978-3-319-49944-4_3⟩. ⟨hal-01630538⟩
55 View
75 Download



Gmail Facebook X LinkedIn More