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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 21 / Book One

Lessons on Applying Automated Recommender Systems to Information-Seeking Tasks

February 1, 2023

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Authors

Joseph A. Konstan

Sean M. McNee

Cai-Nicolas Ziegler

Roberto Torres

Nishikant Kapoor

John T. Riedl

DOI:


Abstract:

Automated recommender systems predict user preferences by applying machine learning techniques to data on products, users, and past user preferences for products. Such systems have become increasingly popular in entertainment and e-commerce domains, but have thus far had little success in information-seeking domains such as identifying published research of interest. We report on several recent publications that show how recommenders can be extended to more effectively address information-seeking tasks by expanding the focus from accurate prediction of user preferences to identifying a useful set of items to recommend in response to the user's specific information need. Specific research demonstrates the value of diversity in recommendation lists, shows how users value lists of recommendations as something different from the sum of the individual recommendations within, and presents an analytic model for customizing a recommender to match user information-seeking needs.

Topics: AAAI

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Joseph A. Konstan|| Sean M. McNee|| Cai-Nicolas Ziegler|| Roberto Torres|| Nishikant Kapoor|| John T. Riedl Lessons on Applying Automated Recommender Systems to Information-Seeking Tasks Proceedings of the AAAI Conference on Artificial Intelligence, 21 (2006) 1630.

Joseph A. Konstan|| Sean M. McNee|| Cai-Nicolas Ziegler|| Roberto Torres|| Nishikant Kapoor|| John T. Riedl Lessons on Applying Automated Recommender Systems to Information-Seeking Tasks AAAI 2006, 1630.

Joseph A. Konstan|| Sean M. McNee|| Cai-Nicolas Ziegler|| Roberto Torres|| Nishikant Kapoor|| John T. Riedl (2006). Lessons on Applying Automated Recommender Systems to Information-Seeking Tasks. Proceedings of the AAAI Conference on Artificial Intelligence, 21, 1630.

Joseph A. Konstan|| Sean M. McNee|| Cai-Nicolas Ziegler|| Roberto Torres|| Nishikant Kapoor|| John T. Riedl. Lessons on Applying Automated Recommender Systems to Information-Seeking Tasks. Proceedings of the AAAI Conference on Artificial Intelligence, 21 2006 p.1630.

Joseph A. Konstan|| Sean M. McNee|| Cai-Nicolas Ziegler|| Roberto Torres|| Nishikant Kapoor|| John T. Riedl. 2006. Lessons on Applying Automated Recommender Systems to Information-Seeking Tasks. "Proceedings of the AAAI Conference on Artificial Intelligence, 21". 1630.

Joseph A. Konstan|| Sean M. McNee|| Cai-Nicolas Ziegler|| Roberto Torres|| Nishikant Kapoor|| John T. Riedl. (2006) "Lessons on Applying Automated Recommender Systems to Information-Seeking Tasks", Proceedings of the AAAI Conference on Artificial Intelligence, 21, p.1630

Joseph A. Konstan|| Sean M. McNee|| Cai-Nicolas Ziegler|| Roberto Torres|| Nishikant Kapoor|| John T. Riedl, "Lessons on Applying Automated Recommender Systems to Information-Seeking Tasks", AAAI, p.1630, 2006.

Joseph A. Konstan|| Sean M. McNee|| Cai-Nicolas Ziegler|| Roberto Torres|| Nishikant Kapoor|| John T. Riedl. "Lessons on Applying Automated Recommender Systems to Information-Seeking Tasks". Proceedings of the AAAI Conference on Artificial Intelligence, 21, 2006, p.1630.

Joseph A. Konstan|| Sean M. McNee|| Cai-Nicolas Ziegler|| Roberto Torres|| Nishikant Kapoor|| John T. Riedl. "Lessons on Applying Automated Recommender Systems to Information-Seeking Tasks". Proceedings of the AAAI Conference on Artificial Intelligence, 21, (2006): 1630.

Joseph A. Konstan|| Sean M. McNee|| Cai-Nicolas Ziegler|| Roberto Torres|| Nishikant Kapoor|| John T. Riedl. Lessons on Applying Automated Recommender Systems to Information-Seeking Tasks. AAAI[Internet]. 2006[cited 2023]; 1630.


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