A conversational recommender system iteratively shows a small set of options for its user to choose between. In order to select these options, the system may analyze the queries tr...
Walid Trabelsi, Nic Wilson, Derek G. Bridge, Franc...
In this paper, we describe a buzz-based recommender system based on a large source of queries in an eCommerce application. The system detects bursts in query trends. These bursts ...
In today’s grocery the products are getting more homogenous and attributes are getting more complex. Consumers should be supported in their decisions during the shopping process...
Recommender Systems (RS) so far have been applied to many fields of e-commerce in order to assist users in finding the products that best meet their preferences. However, while th...
Product recommendation and decision support systems must generally develop a model of user preferences by querying or otherwise interacting with a user. Recent approaches to elici...