Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/42865
DC Field | Value | |
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dc.title | NUSIS at TREC 2011 microblog track:Refining query results with hashtags | |
dc.contributor.author | Amiri, H. | |
dc.contributor.author | Bao, Y. | |
dc.contributor.author | Cui, A. | |
dc.contributor.author | Datta, A. | |
dc.contributor.author | Fang, F. | |
dc.contributor.author | Xu, X. | |
dc.date.accessioned | 2013-07-11T10:19:58Z | |
dc.date.available | 2013-07-11T10:19:58Z | |
dc.date.issued | 2011 | |
dc.identifier.citation | Amiri, H.,Bao, Y.,Cui, A.,Datta, A.,Fang, F.,Xu, X. (2011). NUSIS at TREC 2011 microblog track:Refining query results with hashtags. NIST Special Publication. ScholarBank@NUS Repository. | |
dc.identifier.issn | 1048776X | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/42865 | |
dc.description.abstract | In this paper, we describe our submission to the TREC 2011 Microblog track. We first use URLs as a clue to discover and remove the spam tweets. Then we use both Lucene and Indrito generate a ranked list of results for each query, together with their relevance scores. After that, we use the scores to find out useful hashtags relevant to the query, therefore some previously lower-ranked tweets can be discovered and are re. | |
dc.source | Scopus | |
dc.type | Conference Paper | |
dc.contributor.department | INFORMATION SYSTEMS | |
dc.description.sourcetitle | NIST Special Publication | |
dc.description.coden | NSPUE | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Staff Publications |
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