ANALYZING WEB CHAT MESSAGES FOR RECOMMENDING ITEMS FROM A DIGITAL LIBRARY
Stanley Loh, Ramiro Saldaña, Daniel Licthnow, Thyago Borges, Roberto Rodrigues, Gabriel Simões, Leonardo Albernaz Amaral, Tiago Thompsen Primo · 2004
This work presents a recommender system that analyzes textual messages sent during a communication session in a private Web chat, identifies the context of each message and recommends items from a Digital Library. Recommendations are directly made to users in the chat screen and are decided by a software system through a proactive paradigm, without any request of the users. A domain ontology, containing concepts and a controlled vocabulary, is used to identify subjects in textual messages and to automatically classify items of the Digital Library.