Ranking Approaches for Microblog Search

Ranking microblogs, such as tweets, as search results for a query is challenging, among other things because of the sheer amount of microblogs that are being generated in real time, as well as the short length of each individual microblog. In this paper, we describe several new strategies for rankin...

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Vydáno v:2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Ročník 1; s. 153 - 157
Hlavní autoři: Nagmoti, Rinkesh, Teredesai, Ankur, De Cock, Martine
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.08.2010
Témata:
authority
Blogs
Data collection
evaluation
information retrieval
Length measurement
microblog
online social network
Proposals
Q measurement
ranking
Real-time systems
Search engines
Social networking (online)
Uniform resource locators
Web search
ISBN:9781424484829, 1424484820
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Tagy: Přidat tag
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Abstract Ranking microblogs, such as tweets, as search results for a query is challenging, among other things because of the sheer amount of microblogs that are being generated in real time, as well as the short length of each individual microblog. In this paper, we describe several new strategies for ranking microblogs in a real-time search engine. Evaluating these ranking strategies is non-trivial due to the lack of a publicly available ground truth validation dataset. We have therefore developed a framework to obtain such validation data, as well as evaluation measures to assess the accuracy of the proposed ranking strategies. Our experiments demonstrate that it is beneficial for microblog search engines to take into account social network properties of the authors of microblogs in addition to properties of the microblog itself.
AbstractList Ranking microblogs, such as tweets, as search results for a query is challenging, among other things because of the sheer amount of microblogs that are being generated in real time, as well as the short length of each individual microblog. In this paper, we describe several new strategies for ranking microblogs in a real-time search engine. Evaluating these ranking strategies is non-trivial due to the lack of a publicly available ground truth validation dataset. We have therefore developed a framework to obtain such validation data, as well as evaluation measures to assess the accuracy of the proposed ranking strategies. Our experiments demonstrate that it is beneficial for microblog search engines to take into account social network properties of the authors of microblogs in addition to properties of the microblog itself.
Author Nagmoti, Rinkesh
De Cock, Martine
Teredesai, Ankur
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  givenname: Ankur
  surname: Teredesai
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  givenname: Martine
  surname: De Cock
  fullname: De Cock, Martine
  email: martine.decock@ugent.be
  organization: Inst. of Technol., Univ. of Washington, Tacoma, WA, USA
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StartPage 153
SubjectTerms authority
Blogs
Data collection
evaluation
information retrieval
Length measurement
microblog
online social network
Proposals
Q measurement
ranking
Real-time systems
Search engines
Social networking (online)
Uniform resource locators
Web search
Title Ranking Approaches for Microblog Search
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