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Bamshad Mobasher
DePaul University
65
H-index
311
Paper Count
1.8W
Citation Count
0
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Published Papers
11
Publication Date
Publication Date
Impact Factor
Citations
A Graph-Based Approach for Mitigating Multi-Sided Exposure Bias in Recommender Systems
ACM TRANSACTIONS ON INFORMATION SYSTEMS
IF
9.1
2021-11-16
25
OA
AI
Mansoury, Masoud; Abdollahpouri, Himan; Pechenizkiy, Mykola; Mobasher, Bamshad; Burke, Robin
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Flatter Is Better: Percentile Transformations for Recommender Systems
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY
IF
6.6
2021-03-09
4
OA
AI
Mansoury, Masoud; Burke, Robin; Mobasher, Bamshad
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Research directions in session-based and sequential recommendation A preface to the special issue
USER MODELING AND USER-ADAPTED INTERACTION
IF
3.5
2020-08-06
20
OA
AI
Jannach, Dietmar; Mobasher, Bamshad; Berkovsky, Shlomo
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Supporting Domain Analysis through Mining and Recommending Features from Online Product Listings
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING
IF
5.6
2013-12-01
78
PRE
AI
Hariri, Negar; Castro-Herrera, Carlos; Mirakhorli, Mehdi; Cleland-Huang, Jane; Mobasher, Bamshad
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Preface to the special issue on data mining for personalization
USER MODELING AND USER-ADAPTED INTERACTION
IF
3.5
2008-11-11
6
OA
AI
Mobasher, Bamshad; Tuzhilin, Alexander
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Toward trustworthy recommender systems: An analysis of attack models and algorithm robustness
ACM TRANSACTIONS ON INTERNET TECHNOLOGY
IF
4.1
2007-10-01
303
PRE
AI
Mobasher, Bamshad; Burke, Robin; Bhaumik, Runa; Williams, Chad
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Introduction to intelligent techniques for web personalization
ACM TRANSACTIONS ON INTERNET TECHNOLOGY
IF
4.1
2007-10-01
22
PRE
AI
Anand, Sarabjot Singh; Mobasher, Bamshad
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Attacks and remedies in collaborative recommendation
IEEE INTELLIGENT SYSTEMS
IF
6.1
2007-05-01
76
PRE
AI
Mobasher, Bamshad; Burke, Robin; Bhaumik, Runa; Sandvig, J. J.
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Decision processes in agent-based automated contracting
IEEE INTERNET COMPUTING
IF
4.4
2001-01-01
26
PRE
AI
Collins, J; Bilot, C; Gini, M; Mobasher, B
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Automatic personalization based on Web usage mining - Web usage mining can help improve the scalability, accuracy, and flexibility of recommender systems.
COMMUNICATIONS OF THE ACM
IF
12.2
2000-08-01
652
OA
AI
Mobasher, B; Cooley, R; Srivastava, J
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Partitioning-based clustering for Web document categorization
DECISION SUPPORT SYSTEMS
IF
6.8
1999-12-01
150
PRE
AI
Boley, D; Gini, M; Gross, R; Han, EH; Hastings, K; Karypis, G; Kumar, V; Mobasher, B; Moore, J
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Research Directions
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Co-authors
Cooperation Journals
G
George Karypis
H-index: 93 · Papers: 724
R
Robin Burke
H-index: 57 · Papers: 259
D
Dietmar Jannach
H-index: 57 · Papers: 439
R
Robert A. Gross
H-index: 51 · Papers: 526
J
Jaideep Srivastava
H-index: 50 · Papers: 521
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