We examine the problems with automated recommendation systems when information about user preferences is limited. We equate the problem to one of content similarity measurement an...
Conversational recommender systems help to guide users through a product-space towards a particular product that meets their specific requirements. During the course of a “conve...
Kevin McCarthy, James Reilly, Lorraine McGinty, Ba...
A recommendation system (or recommender) is an algorithm whose goal is to recommend products to potential users. To achieve its task, it uses information about some user preference...
Searching for and making decisions about information is becoming increasingly difficult as the amount of information and number of choices increases. Recommendation systems help ...
Current recommender systems, based on collaborative filtering, implement a rather limited model of interaction. These systems intelligently elicit information from a user only dur...