Difference between revisions of "Novasearch at Trec 2014 Microblog Track: Reranking with Wikipedia Page Views"
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− | '''Novasearch at Trec 2014 Microblog Track: Reranking with Wikipedia Page Views''' - scientific work related to Wikipedia quality published in 2014, written by Flávio Martins and João Magalhães. | + | {{Infobox work |
+ | | title = Novasearch at Trec 2014 Microblog Track: Reranking with Wikipedia Page Views | ||
+ | | date = 2014 | ||
+ | | authors = [[Flávio Martins]]<br />[[João Magalhães]] | ||
+ | | link = http://www.dtic.mil/cgi-bin/GetTRDoc?AD=ADA618826&Location=U2&doc=GetTRDoc.pdf | ||
+ | }} | ||
+ | '''Novasearch at Trec 2014 Microblog Track: Reranking with Wikipedia Page Views''' - scientific work related to [[Wikipedia quality]] published in 2014, written by [[Flávio Martins]] and [[João Magalhães]]. | ||
== Overview == | == Overview == | ||
− | Abstract : This paper describes participation in the TREC 2014 Microblog real-time search task. Authors investigate whether page views from Wikipedia can be used successfully to estimate relevant time periods for queries. To this end, authors use a recently published temporal reranking method by Efron et al. [2], which uses kernel density estimation. | + | Abstract : This paper describes participation in the TREC 2014 Microblog real-time search task. Authors investigate whether page views from [[Wikipedia]] can be used successfully to estimate relevant time periods for queries. To this end, authors use a recently published temporal reranking method by Efron et al. [2], which uses kernel density estimation. |
+ | |||
+ | == Embed == | ||
+ | === Wikipedia Quality === | ||
+ | <code> | ||
+ | <nowiki> | ||
+ | Martins, Flávio; Magalhães, João. (2014). "[[Novasearch at Trec 2014 Microblog Track: Reranking with Wikipedia Page Views]]". | ||
+ | </nowiki> | ||
+ | </code> | ||
+ | |||
+ | === English Wikipedia === | ||
+ | <code> | ||
+ | <nowiki> | ||
+ | {{cite journal |last1=Martins |first1=Flávio |last2=Magalhães |first2=João |title=Novasearch at Trec 2014 Microblog Track: Reranking with Wikipedia Page Views |date=2014 |url=https://wikipediaquality.com/wiki/Novasearch_at_Trec_2014_Microblog_Track:_Reranking_with_Wikipedia_Page_Views}} | ||
+ | </nowiki> | ||
+ | </code> | ||
+ | |||
+ | === HTML === | ||
+ | <code> | ||
+ | <nowiki> | ||
+ | Martins, Flávio; Magalhães, João. (2014). &quot;<a href="https://wikipediaquality.com/wiki/Novasearch_at_Trec_2014_Microblog_Track:_Reranking_with_Wikipedia_Page_Views">Novasearch at Trec 2014 Microblog Track: Reranking with Wikipedia Page Views</a>&quot;. | ||
+ | </nowiki> | ||
+ | </code> | ||
+ | |||
+ | |||
+ | |||
+ | [[Category:Scientific works]] |
Latest revision as of 08:02, 31 July 2019
Authors | Flávio Martins João Magalhães |
---|---|
Publication date | 2014 |
Links | Original |
Novasearch at Trec 2014 Microblog Track: Reranking with Wikipedia Page Views - scientific work related to Wikipedia quality published in 2014, written by Flávio Martins and João Magalhães.
Overview
Abstract : This paper describes participation in the TREC 2014 Microblog real-time search task. Authors investigate whether page views from Wikipedia can be used successfully to estimate relevant time periods for queries. To this end, authors use a recently published temporal reranking method by Efron et al. [2], which uses kernel density estimation.
Embed
Wikipedia Quality
Martins, Flávio; Magalhães, João. (2014). "[[Novasearch at Trec 2014 Microblog Track: Reranking with Wikipedia Page Views]]".
English Wikipedia
{{cite journal |last1=Martins |first1=Flávio |last2=Magalhães |first2=João |title=Novasearch at Trec 2014 Microblog Track: Reranking with Wikipedia Page Views |date=2014 |url=https://wikipediaquality.com/wiki/Novasearch_at_Trec_2014_Microblog_Track:_Reranking_with_Wikipedia_Page_Views}}
HTML
Martins, Flávio; Magalhães, João. (2014). "<a href="https://wikipediaquality.com/wiki/Novasearch_at_Trec_2014_Microblog_Track:_Reranking_with_Wikipedia_Page_Views">Novasearch at Trec 2014 Microblog Track: Reranking with Wikipedia Page Views</a>".