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Title: An experience-based critiquing approach to conversational recommendation
Author: Salem, Yasser
ISNI:       0000 0004 6060 2214
Awarding Body: Queen's University Belfast
Current Institution: Queen's University Belfast
Date of Award: 2016
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An Experience-Based Critiquing Approach to Conversational Recommendation. Product recommendation is an important aspect of many e-commerce systems. It provides an effective way to help users navigate complex product spaces. The single-shot approach to product recommendation produces a ranked list of recommendations. This works well when a user is clear about his/her needs, but less so when the needs are not clear or change during a session. In the latter case, it is better for the user to engage in a recommendation dialogue so that the user's incremental feedback can be used to refine their needs and preferences. This type of conversational recommender systems are much better suited for helping users navigate complex product spaces. We focus on critiquing-based recommenders, which allow users to tweak the features of recommended products to refine their needs and preferences. Critiquing-based recommender systems have proven to be an effective approach to conversational recommendation. However they have a tendency to produce protracted recommendation sessions, due to limited feedback that critiques can provide. We describe a novel approach to reusing past critiquing sessions in order to improve overall recommendation efficiency. Our new techniques show a significant improvement in the interactions between users and recommendation systems. We also show that the new techniques enable satisfactory recommendations made at an earlier stage in the session.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available