Neighborhood restrictions in geographic IR Export

@inproceedings{citeulike:1592825, abstract = {Geographic information retrieval (GIR) systems allow users to specify a geographic context, in addition to a more traditional query, enabling the system to pinpoint interesting search results whose relevancy is location-dependent. In particular local search services have become a widely used mechanism to find businesses, such as hotels, restaurants, and shops, which satisfy a geographical restriction. Unfortunately, many useful types of geographic restrictions are currently not supported in these systems, including restrictions that specify the neighborhood in which the business should be located. As the boundaries of city neighborhoods are not readily available, automated techniques to construct representations of the spatial extent of neighborhoods are required to support this kind of restrictions. In this paper, we propose such a technique, using fuzzy footprints to cope with the inherent vagueness of most neighborhood boundaries, and we provide experimental results that demonstrate the potential of our technique in a local search setting.}, address = {New York, NY, USA}, author = {Schockaert, Steven and De Cock, Martine}, booktitle = {SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval}, citeulike-article-id = {1592825}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1277741.1277772}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/1277741.1277772}, doi = {10.1145/1277741.1277772}, isbn = {9781595935977}, keywords = {fuzzy, geographic, gir, neighborhoods, urban}, pages = {167--174}, posted-at = {2008-09-23 19:51:00}, priority = {2}, publisher = {ACM Press}, title = {Neighborhood restrictions in geographic IR}, url = {http://dx.doi.org/10.1145/1277741.1277772}, year = {2007} }

TY - CONF ID - citeulike:1592825 L3 - citeulike-article-id:1592825 N2 - Geographic information retrieval (GIR) systems allow users to specify a geographic context, in addition to a more traditional query, enabling the system to pinpoint interesting search results whose relevancy is location-dependent. In particular local search services have become a widely used mechanism to find businesses, such as hotels, restaurants, and shops, which satisfy a geographical restriction. Unfortunately, many useful types of geographic restrictions are currently not supported in these systems, including restrictions that specify the neighborhood in which the business should be located. As the boundaries of city neighborhoods are not readily available, automated techniques to construct representations of the spatial extent of neighborhoods are required to support this kind of restrictions. In this paper, we propose such a technique, using fuzzy footprints to cope with the inherent vagueness of most neighborhood boundaries, and we provide experimental results that demonstrate the potential of our technique in a local search setting. SN - 9781595935977 AD - New York, NY, USA EP - 174 TI - Neighborhood restrictions in geographic IR PB - ACM Press T2 - SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval SP - 167 KW - fuzzy KW - geographic KW - gir KW - neighborhoods KW - urban AU - Schockaert, Steven AU - De Cock, Martine PY - 2007/// UR - http://dx.doi.org/10.1145/1277741.1277772 ER -