Recommender system based on semantic similarity and collaborative filtering

被引：0

作者：

Liu Pingfeng ^{[1
]}

Nie Guihua ^{[1
]}

Chen Donglin ^{[1
]}

机构：

[1] Wuhan Univ Technol, Sch Econ, Wuhan 430070, Peoples R China

来源：

PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON INNOVATION & MANAGEMENT, VOLS 1 AND 2 | 2006年

关键词：

semantic similarity; recommender system; user profile; collaborative filtering;

D O I：

暂无

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

To enable semantics based on recommender systems, products and user profiles need to be represented in knowledge uniformly where ontology can be exploited. User profile modeling approach is proposed in this paper. The method of implicit rating and weight evaluation of product attributes is explored. A hybrid approach combining semantic similarity with collaborative filtering is proposed to generate the recommendation lists for users.

引用

页码：1112 / 1117

页数：6

共 50 条

[1] Ensemble Similarity based Collaborative Filtering Feedback: A Recommender System Scenario
Thukral, Rishabh
Ramesh, Dharavath
[J]. 2018 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATIONS AND INFORMATICS (ICACCI), 2018, : 2398 - 2402
[2] Semantic Collaborative Filtering Recommender System Using CNNs
Zaremarjal, Ashkan Yeganeh
Yiltas-Kaplan, Derya
[J]. 2021 8TH INTERNATIONAL CONFERENCE ON ELECTRICAL AND ELECTRONICS ENGINEERING (ICEEE 2021), 2021, : 254 - 258
[3] Collaborative Filtering Recommender System for Semantic Model Refinement
Paulus, Alexander
Burgdorf, Andreas
Pomp, Andre
Meisen, Tobias
[J]. 2023 IEEE 17TH INTERNATIONAL CONFERENCE ON SEMANTIC COMPUTING, ICSC, 2023, : 183 - 190
[4] Enhancing the accuracy of collaborative filtering based recommender system with novel similarity measure
Yadav, Pratibha
Gera, Jaya
Kaur, Harmeet
[J]. MULTIMEDIA TOOLS AND APPLICATIONS, 2023, 83 (16) : 47609 - 47626
[5] Enhancing the accuracy of collaborative filtering based recommender system with novel similarity measure
Pratibha Yadav
Jaya Gera
Harmeet Kaur
[J]. Multimedia Tools and Applications, 2024, 83 : 47609 - 47626
[6] New Recommender Framework: Combining Semantic Similarity Fusion and Bicluster Collaborative Filtering
Gohari, Faezeh S.
Tarokh, Mohammad Jafar
[J]. COMPUTATIONAL INTELLIGENCE, 2016, 32 (04) : 561 - 586
[7] A new similarity measure for collaborative filtering based recommender systems
Gazdar, Achraf
Hidri, Lotfi
[J]. KNOWLEDGE-BASED SYSTEMS, 2020, 188
[8] A recommender system based on collaborative filtering, graph theory using HMM based similarity measures
Anshul Gupta
Pravin Srinath
[J]. International Journal of System Assurance Engineering and Management, 2022, 13 : 533 - 545
[9] Statistical Implicative Similarity Measures for User-based Collaborative Filtering Recommender System
Nghia Quoc Phan
Phuong Hoai Dang
Hiep Xuan Huynh
[J]. INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2016, 7 (11) : 140 - 146
[10] A recommender system based on collaborative filtering, graph theory using HMM based similarity measures
Gupta, Anshul
Srinath, Pravin
[J]. INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT, 2022, 13 (SUPPL 1) : 533 - 545

← 1 2 3 4 5 →