Investigating the Effects of Different Levels of User Control on the Effectiveness of Context-Aware Recommender Systems for Web-Based Search

Author:

Rani Neha1,Chu Sharon Lynn2,Mei Victoria Rene3

Affiliation:

1. Department of Computer and Information Science and Engineering, University of Florida, United States and Embodied Learning and Experience (ELX) Lab, University of Florida, USA

2. Department of Computer and Information Science and Engineering, University of Florida, United States and Embodied Learning & Experience (ELX) Lab, University of Florida, United States

3. Embodied Learning & Experience (ELX) Lab, University of Florida, United States

Publisher

ACM

Reference24 articles.

1. Gediminas Adomavicius and Alexander Tuzhilin . 2001 . Extending recommender systems: A multidimensional approach . In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI-01) , Workshop on Intelligent Techniques for Web Personalization (ITWP 2001), Seattle, Washington, August. Citeseer, 4–6. Gediminas Adomavicius and Alexander Tuzhilin. 2001. Extending recommender systems: A multidimensional approach. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI-01), Workshop on Intelligent Techniques for Web Personalization (ITWP2001), Seattle, Washington, August. Citeseer, 4–6.

2. A survey of Context-aware Recommender System and services

3. Is Context-Aware Computing Taking Control away from the User? Three Levels of Interactivity Examined

4. ArgueNet: an argument-based recommender system for solving Web search queries

5. Pieter Walter de Vries. 2004. Trust in systems: effects of direct and indirect information. Technische Universiteit Eindhoven. Pieter Walter de Vries. 2004. Trust in systems: effects of direct and indirect information. Technische Universiteit Eindhoven.

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