TY - GEN
T1 - Spatial probabilistic modeling of calls to businesses
AU - Hariharan, Ramaswamy
AU - Loh, Ji Meng
AU - Shanahan, James
AU - Yamada, Kenji
PY - 2010
Y1 - 2010
N2 - Local search engines allow users to search for entities such as businesses in a particular geographic location. To improve the geographic relevance of search, user feedback data such as logged click locations are traditionally used. In this paper, we use anonymized mobile call log data as an alternate source of data and investigate its relevance to local search. Such data consists of records of anonymized mobile calls made to local businesses along with the locations of celltowers that handled the calls. We model the probability of calls made to particular categories of businesses as a function of distance, using a generalized linear model framework. We provide a detailed comparison between a click log and a mobile call log, showing its relevance to local search. We describe our probabilistic models and apply them to anonymized mobile call logs for New York City and Los Angeles restaurants.
AB - Local search engines allow users to search for entities such as businesses in a particular geographic location. To improve the geographic relevance of search, user feedback data such as logged click locations are traditionally used. In this paper, we use anonymized mobile call log data as an alternate source of data and investigate its relevance to local search. Such data consists of records of anonymized mobile calls made to local businesses along with the locations of celltowers that handled the calls. We model the probability of calls made to particular categories of businesses as a function of distance, using a generalized linear model framework. We provide a detailed comparison between a click log and a mobile call log, showing its relevance to local search. We describe our probabilistic models and apply them to anonymized mobile call logs for New York City and Los Angeles restaurants.
KW - Call log
KW - Click log
KW - Generalized linear models
KW - Logit
UR - http://www.scopus.com/inward/record.url?scp=78650619943&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78650619943&partnerID=8YFLogxK
U2 - 10.1145/1869790.1869863
DO - 10.1145/1869790.1869863
M3 - Conference contribution
AN - SCOPUS:78650619943
SN - 9781450304283
T3 - GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems
SP - 466
EP - 469
BT - 18th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2010
T2 - 18th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2010
Y2 - 2 November 2010 through 5 November 2010
ER -