Understanding User Behavior of Asking Location-Based Questions on Microblogs

Wang, Liwen; Chen, Ling; Dong, Miaomiao; Hussain, Ibrar; Pan, Zhigeng; Chen, Gencai

doi:10.1080/10447318.2016.1181292

Cited by 1 publication

(2 citation statements)

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“…Place questions vary in focus, targeting a range of aspects of place (Wang et al 2016). While two types of questions, 'where is', and 'how can I get to' are most common (Spink & Gunar 2001), people also ask questions to get information about place names, place types, and activities supported by the places themselves.…”

Section: Literature Reviewmentioning

confidence: 99%

“…While two types of questions, 'where is', and 'how can I get to' are most common (Spink & Gunar 2001), people also ask questions to get information about place names, place types, and activities supported by the places themselves. While in human-human communications place questions are asked with different intent in mind such as gaining factual knowledge, recommendations, invitations, offers, and opinions (Wang et al 2016), studies show that in human-computer interaction questions are mostly asked for informational and navigational purposes (Hollink 2008). 'Where is' questions aim at locating places in space, and thus understanding their spatial context.…”

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Place Questions and Human-Generated Answers: A Data Analysis Approach

Hamzei

Vasardani

et al. 2019

Lecture Notes in Geoinformation and Cartography

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This paper investigates place-related questions submitted to search systems and their human-generated answers. Place-based search is motivated by the need to identify places matching some criteria, to identify them in space or relative to other places, or to characterize the qualities of such places. Human place-related questions have thus far been insufficiently studied and differ strongly from typical keyword queries. They thus challenge today's search engines providing only rudimentary geographic information retrieval support. We undertake an analysis of the patterns in place-based questions using a large-scale dataset of questions/answers, MS MARCO V2.1. The results of this study reveal patterns that can inform the design of conversational search systems and in-situ assistance systems, such as autonomous vehicles.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%