Recommendation Model Based On a Contextual Similarity Measure

被引：0

作者：

Hannech, Amel ^{[1
]}

Adda, Mehdi ^{[2
]}

Mcheick, Hamid ^{[1
]}

机构：

[1] Univ Quebec Chicoutimi, Dept Comp Sci, 555 Blvd Univ, Chicoutimi, PQ G7H 2B1, Canada

[2] Univ Quebec, Math Comp Sci & Engn Dept, 300 Alle Ursulines,CP 3300, Rimouski, PQ G5L 3A1, Canada

来源：

2016 15TH IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS (ICMLA 2016) | 2016年

关键词：

collaborative recommendation; preference prediction technique; user profiles; topical ontology; data clustering; contextual similarity; item popularity;

D O I：

10.1109/ICMLA.2016.9

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Recommendation technique is a personalized search used to assist a user access information/services that are related to his preferences and interests, or to the preferences and interests of similar users. The main challenge of personalized Information Retrieval is the modeling and the integration of user profiles. In this paper, we propose a generic model of user profiles based on the search history of users delimited by several search sessions. These profiles are based on weighted topical graphs and are integrated into a hybrid data recommendation process. To evaluate the proposed system a prototype is developed. The results are quite encouraging; they showed that our model is able to help users when searching for items.

引用

页码：394 / 401

页数：8

共 50 条

[1] Music Recommendation Based on Multiple Contextual Similarity Information
Chen, Chih-Ming
Tsai, Ming-Feng
Liu, Jen-Yu
Yang, Yi-Hsuan
[J]. 2013 IEEE/WIC/ACM INTERNATIONAL JOINT CONFERENCES ON WEB INTELLIGENCE (WI) AND INTELLIGENT AGENT TECHNOLOGIES (IAT), VOL 1, 2013, : 65 - 72
[2] A flexible and robust similarity measure based on contextual probability
Wang, Hui
Dubitzky, Werner
[J]. 19TH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI-05), 2005, : 27 - 32
[3] A novel matrix factorization model for recommendation with LOD-based semantic similarity measure
Wang, Ruiqin
Cheng, Hsing Kenneth
Jiang, Yunliang
Lou, Jungang
[J]. EXPERT SYSTEMS WITH APPLICATIONS, 2019, 123 : 70 - 81
[4] Deviation-Based and Similarity-Based Contextual SLIM Recommendation Algorithms
Zheng, Yong
[J]. PROCEEDINGS OF THE 8TH ACM CONFERENCE ON RECOMMENDER SYSTEMS (RECSYS'14), 2014, : 437 - 440
[5] A hybrid recommendation algorithm based on heuristic similarity and trust measure
Yang, Chao
Chen, Xinghe
Song, Tingting
Jiang, Bin
Liu, Qing
[J]. 2018 17TH IEEE INTERNATIONAL CONFERENCE ON TRUST, SECURITY AND PRIVACY IN COMPUTING AND COMMUNICATIONS (IEEE TRUSTCOM) / 12TH IEEE INTERNATIONAL CONFERENCE ON BIG DATA SCIENCE AND ENGINEERING (IEEE BIGDATASE), 2018, : 1413 - 1418
[6] Fuzzy logic based similarity measure for multimedia contents recommendation
Kant, Surya
Mahara, Tripti
Jain, Vinay Kumar
Jain, Deepak Kumar
[J]. MULTIMEDIA TOOLS AND APPLICATIONS, 2019, 78 (04) : 4107 - 4130
[7] Fuzzy logic based similarity measure for multimedia contents recommendation
Surya Kant
Tripti Mahara
Vinay Kumar Jain
Deepak Kumar Jain
[J]. Multimedia Tools and Applications, 2019, 78 : 4107 - 4130
[8] Personalized Recommendation Based on Similarity of Cloud Model
Luo, Rong
Gong, Yuxi
[J]. 2009 SECOND INTERNATIONAL SYMPOSIUM ON KNOWLEDGE ACQUISITION AND MODELING: KAM 2009, VOL 3, 2009, : 356 - 359
[9] Set Based Similarity Measure for User Based Collaborative Filtering Recommendation System
Uma, K., V
Deepika, M.
Sujitha, Vairam
[J]. PROCEEDING OF THE INTERNATIONAL CONFERENCE ON COMPUTER NETWORKS, BIG DATA AND IOT (ICCBI-2018), 2020, 31 : 453 - 461
[10] Contextual Topic Model based Image Recommendation System
Liu, Lei
[J]. 2015 IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE AND INTELLIGENT AGENT TECHNOLOGY (WI-IAT), VOL 3, 2015, : 239 - 240

← 1 2 3 4 5 →