Semantic-Based Recommendation Method for Sport News Aggregation System

被引：4
|
作者：
Quang-Minh Nguyen [1 ]
Thanh-Tam Nguyen [1 ]
Tuan-Dung Cao [1 ]
机构：
[1] Hanoi Univ Sci & Technol, 1 Dai Co Viet, Hanoi, Vietnam
来源：
RESEARCH AND PRACTICAL ISSUES OF ENTERPRISE INFORMATION SYSTEMS, 10TH IFIP WG 8.9 WORKING CONFERENCE, CONFENIS 2016 | 2016年 / 268卷
关键词：
D O I：
10.1007/978-3-319-49944-4_3
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：32 / 47
页数：16
相关论文
共 50 条
  • [1] SFL: A semantic-based federated learning method for POI recommendation
    Dong, Xunan
    Zeng, Jun
    Wen, Junhao
    Gao, Min
    Zhou, Wei
    [J]. INFORMATION SCIENCES, 2024, 679
  • [2] Friendbook: A Semantic-Based Friend Recommendation System for Social Networks
    Wang, Zhibo
    Liao, Jilong
    Cao, Qing
    Qi, Hairong
    Wang, Zhi
    [J]. IEEE TRANSACTIONS ON MOBILE COMPUTING, 2015, 14 (03) : 538 - 551
  • [3] Semantic-based Thai Recipe Recommendation
    Chotipant, Supannada
    [J]. 2022 19TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER SCIENCE AND SOFTWARE ENGINEERING (JCSSE 2022), 2022,
  • [4] UCWW Semantic-Based Service Recommendation Framework
    Zhang, Haiyang
    Nikolov, Nikola S.
    Ganchev, Ivan
    [J]. 2015 IEEE INTERNATIONAL SYMPOSIUM ON TECHNOLOGY AND SOCIETY (ISTAS), 2015,
  • [5] Semantic-based Recommendation across Heterogeneous Domains
    Yang, Deqing
    Xiao, Yanghua
    Song, Yangqiu
    Wang, Wei
    [J]. 2015 IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM), 2015, : 1075 - 1080
  • [6] Semantic-based aggregation for statistical disclosure control
    Valls, A
    Torra, V
    Domingo, J
    [J]. INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2003, 18 (09) : 939 - 951
  • [7] Semantic-Based Feedback Recommendation for Automatic Essay Evaluation
    Tashu, Tsegaye Misikir
    Horvath, Tomas
    [J]. INTELLIGENT SYSTEMS AND APPLICATIONS, VOL 2, 2020, 1038 : 334 - 346
  • [8] Semantic-based IoT device discovery and recommendation mechanism
    Chirila, Stefano
    Lemnaru, Camelia
    Dinsoreanu, Mihaela
    [J]. 2016 IEEE 12TH INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTER COMMUNICATION AND PROCESSING (ICCP), 2016, : 111 - 116
  • [9] Semantic-based Tag Recommendation in Scientific Bookmarking Systems
    Hassan, Hebatallah A. Mohamed
    Sansonetti, Giuseppe
    Gasparetti, Fabio
    Micarelli, Alessandro
    [J]. 12TH ACM CONFERENCE ON RECOMMENDER SYSTEMS (RECSYS), 2018, : 465 - 469
  • [10] Semantic-Based Location Recommendation With Multimodal Venue Semantics
    Wang, Xiangyu
    Zhao, Yi-Liang
    Nie, Liqiang
    Gao, Yue
    Nie, Weizhi
    Zha, Zheng-Jun
    Chua, Tat-Seng
    [J]. IEEE TRANSACTIONS ON MULTIMEDIA, 2015, 17 (03) : 409 - 419
12345