Evaluating Critiquing-based Recommender Agents
نویسندگان
چکیده
We describe a user study evaluating two critiquing-based recommender agents based on three criteria: decision accuracy, decision effort, and user confidence. Results show that user-motivated critiques were more frequently applied and the example critiquing system employing only this type of critiques achieved the best results. In particular, the example critiquing agent significantly improves users’ decision accuracy with less cognitive effort consumed than the dynamic critiquing recommender with system-proposed critiques. Additionally, the former is more likely to inspire users’ confidence of their choice and promote their intention to purchase and return to the agent for future use.
منابع مشابه
Evaluating product search and recommender systems for E-commerce environments
Online systems that help users select the most preferential item from a large electronic catalog are known as product search and recommender systems. Evaluation of various proposed technologies is essential for further development in this area. This paper describes the design and implementation of two user studies in which a particular product search tool, known as example critiquing, was evalu...
متن کاملOn the Evaluation of Dynamic Critiquing: A Large-Scale User Study
Critiquing is an important form of feedback in conversational recommender systems. However, in these systems the user is usually limited to critiquing a single product feature at a time. Recently dynamic critiquing has been proposed to address this shortcoming, by automatically generating compound critiques over multiple features that may be presented to the user at recommendation time. To date...
متن کاملDynamic Critiquing
Critiquing is a powerful style of feedback for case-based recommender systems. Instead of providing detailed feature values, users indicate a directional preference for a feature. For example, a user might ask for a ‘less expensive’ restaurant in a restaurant recommender; ‘less expensive’ is a critique over the price feature. The value of critiquing is that it is generally applicable over a wid...
متن کاملInferring Users' Critiquing Feedback on Recommendations from Eye Movements
In recommender systems, critiquing has been popularly applied as an effective approach to obtaining users’ feedback on recommended products. In order to reduce users’ efforts of creating critiquing criteria on their own, some systems have aimed at suggesting critiques for users to choose. How to accurately match system-suggested critiques to users’ intended feedback hence becomes a challenging ...
متن کاملCollaborative Compound Critiquing
Critiquing-based recommender systems offer users a conversational paradigm to provide their feedback, named critiques, during the process of viewing the current recommendation. In this way, the system is able to learn and adapt to the users’ preferences more precisely so that better recommendation could be returned in the subsequent iteration. Moreover, recent works on experience-based critiqui...
متن کامل