Intent boundary detection in search query logs
Journal
33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
Pages
749-750
ISBN
9781605588964
Date Issued
2010
Author(s)
Abstract
Identifying intent boundary in search query logs is important for learning users' behaviors and applying their experiences. Time-based, query-based, and cluster-based approaches are proposed. Experiments show that the integration of intent clusters and dynamic time model performs the best. ? 2010 ACM.
Subjects
Intent boundary detection
Intent clustering
Query log analysis
Type
conference paper