Flexible recommendations over rich data
Proceedings of the 2008 ACM conference on Recommender systems
Recommender Systems Handbook
REQUEST: A Query Language for Customizing Recommendations
Information Systems Research
Information seeking: convergence of search, recommendations, and advertising
Communications of the ACM
Critiquing-based recommenders: survey and emerging trends
User Modeling and User-Adapted Interaction
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This paper presents a novel approach to combining search and recommendations methods into one integrated system to satisfy user information seeking needs. It is shown theoretically and experimentally using simulations that the proposed combined approach outperforms "pure" search and "pure" recommendations in those cases when search is hindered by the user's inability to come up with a complete set of search criteria, and recommendation engine produces mediocre results.