Abstract
Product recommendation is an important aspect of many e-commerce systems. It provides an effective way to help users navigate complex product spaces. In this paper, we focus on critiquing-based recommenders. We present a new critiquing-based approach, History-Guided Recommendation (HGR), which is capable of using the recommendation pairs (item and critique) or critiques only so far in the current recommendation session to predict the most likely product recommendations and therefore short-cut the sometimes protracted recommendation sessions in standard critiquing approaches. The HGR approach shows a significant improvement in the interactions between the user and the recommender. It also enables successfully accepted recommendations to be made much earlier in the session.
Original language | English |
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Title of host publication | WWW Companion '14 |
Subtitle of host publication | Proceedings of the 23rd International Conference on World Wide Web |
Publisher | Association for Computing Machinery (ACM) |
Pages | 999-1004 |
Number of pages | 6 |
ISBN (Print) | 9781450327459 |
DOIs | |
Publication status | Published - 7 Apr 2014 |
Structured keywords
- Jean Golding
Keywords
- Conversational Recommendation
- critiquing
- Recommender Systems