DocumentCode :
1734622
Title :
Spatial Variation in Search Engine Results
Author :
Noack, David
Author_Institution :
Dept. of Inf. Sci., Heinrich-Heine -Univ. Dusseldorf, Dusseldorf, Germany
fYear :
2010
Firstpage :
1
Lastpage :
10
Abstract :
Geographic information retrieval (GIR) is, as a branch of traditional information retrieval, a discipline that tries to enrich data with geographical information to make it suitable for indexing and retrieval. Local or geographic aspects of web information retrieval should thus not be omitted but used to refine ranking algorithms and display more locally-relevant results to the users. This article is a conceptual approach of how queries can be treated differently regarding their geographic focus or spread. For that purpose, the geographical distribution of various search engine results is analyzed and classified into different patterns. A model to effectively compute geographical concentration/dispersion is developed and the inclusion of a map into search engine result pages is discussed. The searches conducted were restricted to German pages as site owners are per law obliged to publish address information.
Keywords :
data mining; geographic information systems; query processing; search engines; Web information retrieval; geographic information retrieval; geographical distribution; search engine; spatial variation; Data mining; Dispersion; Displays; Geographic Information Systems; Humans; Indexing; Information retrieval; Information science; Pattern analysis; Search engines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Sciences (HICSS), 2010 43rd Hawaii International Conference on
Conference_Location :
Honolulu, HI
ISSN :
1530-1605
Print_ISBN :
978-1-4244-5509-6
Electronic_ISBN :
1530-1605
Type :
conf
DOI :
10.1109/HICSS.2010.345
Filename :
5428324
Link To Document :
بازگشت