Analysis of geographic queries in a search engine log

Gan, Qingqing; Attenberg, Josh; Alexander, Mathew; Suel, Torsten

doi:10.1145/1367798.1367806

Cited by 90 publications

(64 citation statements)

References 32 publications

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“…Moreover, the ratio of geographic queries submitted to usual search engines is about 15 % according to studies described in [25,9,12], and may increase in the context of DLs. Consequently, we propose a brief review of GIR frameworks in the next section.…”

Section: Final Results Listmentioning

confidence: 99%

Do Expressive Geographic Queries Lead to Improvement in Retrieval Effectiveness?

Palacio

Sallaberry

Cabanac

et al. 2012

Lecture Notes in Geoinformation and Cartography

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Abstract. In an information retrieval (IR) context, users usually issue queries with few terms and no operators (e.g., and, or, +). However, most of users' information needs involve more expressiveness (e.g., 'Potato famine in Ireland, but not in Cork' ). Our work deals with this category of queries that may be processed by geographic IR (GIR) systems to parse digital libraries according to spatial, temporal and topical criteria. We propose a GIR framework that supports expressive queries and aggregates results of a multi-criteria search. We also conduct experiments to verify that this approach improves the effectiveness of such search engines (improvement of 27% for topical criteria only, and of 54% for spatial and temporal criteria).

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Section: Final Results Listmentioning

confidence: 99%

Do Expressive Geographic Queries Lead to Improvement in Retrieval Effectiveness?

Palacio

Sallaberry

Cabanac

et al. 2012

Lecture Notes in Geoinformation and Cartography

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“…Backstrom, et al (2008) investigated the association of Web search keywords with the geographic location of IP addresses and modeled the spatial variation manifested in search queries. The availability of geographic information of Web search data was also explored by Gan, et al (2008) and Ginsberg, et al (2008), who successfully traced the spread of flu in the United States by correlating the number of visits to a local doctor with flu-based search terms on Google. While earlier literature has focused on modelling information of Web search data, recent research has focused on user-generated geographic information by mining social media information streams.…”

Section: Previous Workmentioning

confidence: 99%

Taking tweets to the streets: A spatial analysis of the Vinegar Protests in Brazil

Bastos

Recuero

Zago

2014

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In this paper we investigate the relationship between the geographic location of protestors attending demonstrations in the 2013 Vinegar protests in Brazil and the geographic location of users that tweeted the protests. We explored the overlap between different sources of geographic information from Twitter -namely geocode, hashtag, and user profileprovided by multiple samples drawn from a population of three million tweets related to the events and compared the data to the location of protestors attending the street demonstrations. We adjusted the data for the uneven distribution of the population and performed geospatial and spatial clustering analysis over sets of spatial locations. We found evidence for the hypotheses that users tweeting the protests are geographically distant from the street protests and that users from geographically isolated areas rely on Twitter hashtags to remotely engage in the demonstrations.

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“…J.Attenberg [3] proposed that query classified as geo-query and non-geoquery for improve the user search. Whenever user enter the query filter based on classification of the geographic term and queries with no location information classified as non-geo query based AOL trace differentiate geo and non-geo.…”

Section: Related Workmentioning

confidence: 99%