Recommender systems aim to support users in their decision-making process while interacting with large information spaces and recommend items of interest to users based on preferences they have expressed, either explicitly or implicitly. Recommender systems are increasingly used with product and service selection over the Internet. Although…

Presents a seven-step methodology for utilizing integrity constraint knowledge from heterogeneous databases. Describes generating a set of integrity constraints applicable at the integrated level from constraints specified on local databases. Introduces the concept of constraint-based relationships between objects in heterogeneous databases;…

The purpose of this study was to develop an information filtering system which collects, classifies, selects, and stores various kinds of information found through the Internet. A collaborative form of information gathering was examined and a model was built and implemented in the Internet information space. (AEF)

A consultation quality control model (CQCM) developed for an expert system (ES) integrated both ES performance measures and end-user judgment values. Simple decision theory concepts were used to design the CQCM. Results show end users belong to different categories characterized by utility functions and the weights they assign to ES consultation…

The 4th International Conference on Educational Data Mining (EDM 2011) brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large datasets to answer educational research questions. The conference, held in Eindhoven, The Netherlands, July 6-9, 2011, follows the three previous editions…