An interactive interface for instilling trust and providing diverse recommendations

A recommendation system's ability to instill trust in its users and convince them about the recommendations provided is found to be effective using suitable explanations. Although the majority of existing research focus on the algorithm used to provide an explanation, our algorithm focuses on the presentation of explanation interface for making the user understand the recommendations and its explanation better. The major contribution of this paper is that it designs a complete model consisting of various visualization styles, whereby each style is used for a specific purpose only. The explanation interface designed is for a hybrid recommender system where the explanation interface of individual recommender is reused in a form that describes it best. In this model the user is held at an important position and using the explanations can incorporate diversity in the recommendations provided by the system. Results obtained showed that users found the system developed very interactive, appealing, assisting them to better understand the recommendations using various styles, low disappointment level and capable of accounting for diverse recommendations thus leading to overall satisfaction.