Sciweavers

Share
SIGIR
2006
ACM

Action modeling: language models that predict query behavior

9 years 8 months ago
Action modeling: language models that predict query behavior
We present a novel language modeling approach to capturing the query reformulation behavior of Web search users. Based on a framework that categorizes eight different types of “user moves” (adding/removing query terms, etc.), we treat search sessions as sequence data and build n-gram language models to capture user behavior. We evaluated our models in a prediction task. The results suggest that useful patterns of activity can be extracted from user histories. Furthermore, by examining prediction performance under different order n-gram models, we gained insight into the amount of history/context that is associated with different types of user actions. Our work serves as the basis for more refined user models. Categories and Subject Descriptors H.3.3 [Information Storage and Retrieval]: Information Search
G. Craig Murray, Jimmy J. Lin, Abdur Chowdhury
Added 14 Jun 2010
Updated 14 Jun 2010
Type Conference
Year 2006
Where SIGIR
Authors G. Craig Murray, Jimmy J. Lin, Abdur Chowdhury
Comments (0)
books