TY - GEN
T1 - Behavior Modeling for Point of Interest Search
AU - Chen, Haitian
AU - Wang, Zhihong
AU - Ma, Shaoping
AU - Ai, Qingyao
AU - Liu, Yiqun
AU - Hu, Juan
AU - Chai, Hua
AU - Wu, Zhijing
AU - Zhang, Min
AU - Tan, Naiqiang
N1 - Publisher Copyright:
© 2023 Copyright held by the owner/author(s).
PY - 2023/7/19
Y1 - 2023/7/19
N2 - With the increasing popularity of location-based services, the point-of-interest (POI) search has received considerable attention in recent years. Existing studies on POI search mostly focus on how to construct better retrieval models to retrieve the relevant POI based on query-POI matching. However, user behavior in POI search, i.e., how users examine the search engine result page (SERP), is mostly underexplored. A good understanding of user behavior is well-recognized as a key to develop effective user models and retrieval models to improve the search quality. Therefore, in this paper, we propose to investigate user behavior in POI search with a lab study in which users' eye movements and their implicit feedback on the SERP are collected. Based on the collected data, we analyze (1) query-level user behavior patterns in POI search, i.e., examination and interactions on SERP; (2) session-level user behavior patterns in POI search, i.e., query reformulation, termination of search, etc. Our work sheds light on user behavior in POI search and could potentially benefit future studies on related research topics.
AB - With the increasing popularity of location-based services, the point-of-interest (POI) search has received considerable attention in recent years. Existing studies on POI search mostly focus on how to construct better retrieval models to retrieve the relevant POI based on query-POI matching. However, user behavior in POI search, i.e., how users examine the search engine result page (SERP), is mostly underexplored. A good understanding of user behavior is well-recognized as a key to develop effective user models and retrieval models to improve the search quality. Therefore, in this paper, we propose to investigate user behavior in POI search with a lab study in which users' eye movements and their implicit feedback on the SERP are collected. Based on the collected data, we analyze (1) query-level user behavior patterns in POI search, i.e., examination and interactions on SERP; (2) session-level user behavior patterns in POI search, i.e., query reformulation, termination of search, etc. Our work sheds light on user behavior in POI search and could potentially benefit future studies on related research topics.
KW - eye tracking
KW - mobile search
KW - point of interest search
KW - user behavior
UR - http://www.scopus.com/inward/record.url?scp=85168651898&partnerID=8YFLogxK
U2 - 10.1145/3539618.3591955
DO - 10.1145/3539618.3591955
M3 - Conference contribution
AN - SCOPUS:85168651898
T3 - SIGIR 2023 - Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
SP - 1843
EP - 1847
BT - SIGIR 2023 - Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
PB - Association for Computing Machinery, Inc
T2 - 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023
Y2 - 23 July 2023 through 27 July 2023
ER -