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» Providing Justifications in Recommender Systems
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HICSS
2007
IEEE
630views Biometrics» more  HICSS 2007»
13 years 11 months ago
The Ability-Motivation-Opportunity Framework for Behavior Research in IS
Some theoretical models used in IS research may lack explanatory power and consistency because of their failure to provide an adequate means of accounting for contextual and situa...
Jerald Hughes
RE
2008
Springer
13 years 4 months ago
Clear justification of modeling decisions for goal-oriented requirements engineering
Representation and reasoning about goals of an information system unavoidably involve the transformation of unclear stakeholder requirements into an instance of a goal model. If t...
Ivan Jureta, Stéphane Faulkner, Pierre-Yves...
TKDE
2012
236views Formal Methods» more  TKDE 2012»
11 years 7 months ago
Improving Aggregate Recommendation Diversity Using Ranking-Based Techniques
— Recommender systems are becoming increasingly important to individual users and businesses for providing personalized recommendations. However, while the majority of algorithms...
Gediminas Adomavicius, YoungOk Kwon
USS
2008
13 years 7 months ago
In Defense of Pseudorandom Sample Selection
Generation of random numbers is a critical component of existing post-election auditing techniques. Recent work has largely discouraged the use of all pseudorandom number generato...
Joseph A. Calandrino, J. Alex Halderman, Edward W....
RECSYS
2009
ACM
13 years 10 months ago
MoviExplain: a recommender system with explanations
Providing justification to a recommendation gives credibility to a recommender system. Some recommender systems (Amazon.com etc.) try to explain their recommendations, in an eff...
Panagiotis Symeonidis, Alexandros Nanopoulos, Yann...