M. Montaner, B. Lopez, and J. L. D. L. Rosa. A taxonomy of recommender agents on the internet. Artificial Intelligence Review, 19:285--330, June 2003. Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
Opinion-Based Filtering Through Trust - Montaner, Lopez, Rosa (2 citations) Self-citation (Montaner Lopez Rosa) (Correct)
....is so much information, a fundamental issue is to select the most appropriate information with which to make decisions. In other words, an information filtering method is essential. Usually, three information filtering approaches have been used in the state of the art for making recommendations [11]: demographic filtering, content based filtering and collaborative filtering. Moreover, hybrid approaches among them have been proved useful. However, when we apply the agent theory to recommender systems, a standard centralized recommender system becomes a distributed world of recommender agents ....
....Section 5 presents related work and, finally, in section 6 we provide some conclusions. 2 The Need of Trust in Recommender Agents Recommender agents are used to asses the user by filtering information. Three information filtering methods have been proposed in the current state of the art [11]: demographic filtering, content based filtering and collaborative filtering. Demographic filtering approaches use descriptions of people to learn about a relationship between a single item and the type of people that like that object. Content based filtering approaches use descriptions of the ....
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M. Montaner, B. Lopez, and J. L. de la Rosa. A taxonomy of recommender agents on the internet. In Submitted to Artificial Intelligence Review, 2002.
Semantic feedback for hybrid recommendations in Recommendz - Matthew Garden And (2005) (Correct)
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M. Montaner, B. Lopez, and J. L. D. L. Rosa. A taxonomy of recommender agents on the internet. Artificial Intelligence Review, 19:285--330, June 2003.
Representing Users in a Travel Support System - Gawinecki, Vetulani, Gordon, al. (2005) (Correct)
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Montaner M., Lpez B., De La Rosa J. L., "A Taxonomy of Recommender Agents on the Internet," Artificial Intelligence Review, 19, 2003, 285--330
User Profile Generation Based on a Memory Retrieval Theory - Gasparetti, Micarelli (2005) (Correct)
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Montaner, M., Lopez, B., and Rosa, J. L. D. L. (2003). A taxonomy of recommender agents on the internet. Artificial Intelligence Review, 19(4):285--330.
Personalized Information Access in a Bibliographic.. - Haase, Ehrig, Hotho, .. (2004) (Correct)
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Montaner, M.; Lopez, B.; and De La Rosa, J. L. 2003. A taxonomy of recommender agents on the internet. Artif. Intell. Rev. 19(4):285--330.
Agent-Based Recommender Systems - Niinivaara (2004) (Correct)
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Montaner, M., Lpez, B., Llus de la Rosa, J., Taxonomy of Recommender Agents on the Internet. Artificial Intelligence Review, 19, (2003), 285--330.
Market-Based Recommender Systems: Learning Users'.. - Wei, Moreau, Jennings (Correct)
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Montaner, M., Lopez, B., Dela, J.L.: A taxonomy of recommender agents on the internet. Artificial Intelligence Review 19 (2003) 285--330
Learning Users' Interests in a Market-Based Recommender System - Wei, Moreau, Jennings (Correct)
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Montaner, M., Lopez, B., Dela, J.L.: A taxonomy of recommender agents on the internet. Artificial Intelligence Review 19 (2003) 285--330
Towards a Two-Dimensional Framework for User Models - de Vrieze, van Bommel.. (2003) (Correct)
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Miquel Montaner and Beatriz Lopez. A taxonomy of recommender agents on the internet. Artificial intelligence review, 19(19):285--330, June 2003.
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