User Experience and Recommender Systems
Zohreh Dehghani Champiri, Ghulam Mujtaba, Siti Salwah Salim, Chun Yong Chong · 2019 2nd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET) · 2019
Since the advent of recommender systems (RS), majority of the published work aim to propose new algorithms that are more accurate in predicting the users' need. Recently, researchers have acknowledged that embedding User eXperience (UX) into recommender systems increase the effectiveness of recommendations dramatically for the end users. However, UX is essentially a subjective matter and it is not easy to be measured without direct user's feedback on the recommendation. There are few studies investigating the role of UX in the field of RSs but research on UX of RS is relatively less explored. Therefore, in this study, we review the existing studies and discuss definition of UX especially in the field of RS. Our review showed that despite the recent attempts on UX evaluation of RS, this area is still new and needs further investigations.