Query recommendation suggests related queries for search engine users when they are not satisfied with the results of an initial input query, thus assisting users in improving sear...
The importance of effective customer assistance technologies is imperative in today's online marketplace where users are oftentimes overwhelmed by the product choices availab...
John Doody, Edwin Costello, Lorraine McGinty, Barr...
A recommender system has to collect users' preference data. To collect such data, rating or scoring methods that use rating scales, such as good-fair-poor or a five-point-sca...
Recommender systems are widely used in E-Commerce for making automatic suggestions of new items that could meet the interest of a given user. Collaborative Filtering approaches co...
- Collaborative filtering is a widely used and proven method of building recommender systems that provide personalized recommendations on products or services based on explicit rat...