Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
515854 | Information Processing & Management | 2014 | 22 Pages |
•Enriching queries using user preferences increases Information Retrieval in healthcare domain.•Prioritizing user preferences improves service discovery.•Conditional preference network is employed to rank user preferences.
Query enrichment is a process of dynamically enhancing a user query based on her preferences and context in order to provide a personalized answer. The central idea is that different users may find different services relevant due to different preferences and contexts. In this paper, we present a preference model that combines user preferences, user context, domain knowledge to enrich the initial user query. We use CP-nets to rank the preferences using implicit and explicit user preferences and domain knowledge. We present some algorithms for preferential matching. We have implemented the proposed model as a prototype. The initial results look promising.