Leveraging Concepts and Semantic Relationships for Language Model Based Document Retrieval

2014 ◽  
pp. 100-112
Author(s):  
Lynda Said Lhadj ◽  
Mohand Boughanem ◽  
Karima Amrouche
Keyword(s):  
Language Model ◽  
Document Retrieval ◽  
Semantic Relationships ◽  
Model Based

scholarly journals A trigger language model-based IR system

2004 ◽  
Author(s):  
Zhang Jun-lin ◽  
Sun Le ◽  
Qu Wei-min ◽  
Sun Yu-fang
Keyword(s):  
Language Model ◽  
Model Based

Mobile Geographic Web Search Personalization with Language Model

2013 ◽  
Vol 303-306 ◽  
pp. 1420-1425
Author(s):  
Qiang Pu ◽  
Ahmed Lbath ◽  
Da Qing He
Keyword(s):  
Query Expansion ◽  
Web Search ◽  
Mixed Model ◽  
Topic Model ◽  
Language Model ◽  
Mobile Users ◽  
Information Need ◽  
User Interest ◽  
Modeling Framework ◽  
Model Based

Mobile personalized web search has been introduced for the purpose of distinguishing mobile user's personal different search interest. We first take the user's location information into account to do a geographic query expansion, then present an approach to personalizing web search for mobile users within language modeling framework. We estimate a user mixed model estimated according to both activated ontological topic model-based feedback and user interest model to re-rank the results from geographic query expansion. Experiments show that language model based re-ranking method is effective in presenting more relevant documents on the top retrieved results to mobile users. The main contribution of the improvements comes from the consideration of geographic information, ontological topic information and user interests together to find more relevant documents for satisfying their personal information need.

Sign in / Sign up

Export Citation Format

Share Document