Content-based Item Representation
Content-Based Item Representation is a formal academic construct in the field of item modeling that characterizes an item through its intrinsic features and attributes, distinguishing it from other item representation approaches by relying solely on the content-specific information inherent to the item rather than on relational or contextual data.
11
Publications
585
Citations
36
Authors
19
Institutions
Publications per year
2017–2026
2
Parents
11
Charlie A. Davidson, Lesa Hoffman, William D. Spaulding · Psychiatry Research · 2016 · 83 citations
An analysis of users' propensity toward diversity in recommendations
Tommaso Di Noia, Vito Claudio Ostuni, Jessica Rosati et al. · 2014 · 78 citations
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19
University of Kansas
Lawrence, United States
2 h-index
3 publications
111 citations
University of Iowa
Iowa City, United States
1 h-index
2 publications
148 citations

Huazhong University of Science and Technology
Wuhan, China
1 h-index
4 publications
68 citations
American College Testing
Iowa City, United States
1 h-index
2 publications
148 citations
Fertility & Lifespan Medical Institute
San Diego, United States
1 h-index
1 publications
83 citations
Measurement Specialties (Germany)
Dortmund, Germany
1 h-index
2 publications
148 citations

Polytechnic University of Bari
Bari, Italy
1 h-index
5 publications
390 citations
American College of Financial Services
Bryn Mawr, United States
1 h-index
2 publications
148 citations
1–8 of 19
2 publications · 103 citations
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MBR · 1 publications · 11 citations
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1 publications · 20 citations
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1 publications · 20 citations
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Conference · 1 publications · 17 citations
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