Semantic Preference Retrieval for Querying Knowledge Bases

AutorChristian Scheel, Alan Said, Sahin Albayrak
Quelle1st Joint International Workshop on Entity-oriented and Semantic Search (JIWES) 2012 at the 35th ACM SIGIR Conference 
LinksBibTeX   |   Uni-Bibliothek 

This work deals with the problem of automatically creating semantic queries for knowledge bases from preference feedback. Semantic knowledge bases are a good source for retrieving entities for item recommendation. We show that preference decisions are not only based on entities, but also on their corresponding predicate-object relations. By extracting the weights from trained preference models, the weighted predicate-object relations can be stored to a user model. The objective is to use such prototype entities in a general user model to formulate semantic queries for recommendation retrieval.