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Mining user trails in critiquing based recommenders
Published in Association for Computing Machinery, Inc
Pages: 777 - 780
Critiquing based recommenders are very commonly used to help users navigate through the product space to find the required product by tweaking/critiquing one or more fea- Tures. By critiquing a product, the user gives an informative feedback(i.e, which feature needs to be modified) about why they rejected a product and preferred the other one. As a user interacts with such a system, trails are left be- hind. We propose ways of leveraging these trails to induce preference models of items which can be used to estimate the relative utilities of products which can be used in rank- ing the recommendations presented to the user. The idea is to effectively complement knowledge of explicit user inter- Actions in traditional social recommenders with knowledge implicitly obtained from trails. © Copyright 2014 by the International World Wide Web Conferences Steering Committee.
About the journal
JournalData powered by TypesetWWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web
PublisherData powered by TypesetAssociation for Computing Machinery, Inc
Open AccessNo
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