Combining Semantic and Multilingual Search to Databases with Recommender Systems
Luchiana Cezara Brodeala, Marı́a J. Martı́n-Bautista, Richard de Jesús Gil Herrera · 2011
IR is a difficult task to do when dealing with free text fields of databases. This paper describes, through Seman-Query, how a search system can be combined with a recommender system in order to make it easier. The search part provides a solution to improve the functionality of database search techniques when dealing with IR from the text fields of databases, while the recommender part is responsible with adding documents that are similar to the results.