2016
DOI: 10.1177/0165551515618589
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Time sensitive blog retrieval using temporal properties of queries

Abstract: Blogs are one of the main user-generated contents on the web and are growing in number rapidly. The characteristics of blogs require the development of specialized search methods which are tuned for the blogosphere. In this paper, we focus on blog retrieval, which aims at ranking blogs with respect to their recurrent relevance to a user's topic. Although different blog retrieval algorithms have already been proposed, few of them have considered temporal properties of the input queries. Therefore, we propose an… Show more

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Cited by 13 publications
(2 citation statements)
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“…In other words, evidence ranking should be time-aware. Our choice for time-aware evidence ranking is also motivated by the importance of temporal features in document retrieval and ranking (Dakka, Gravano, and Ipeirotis 2010) and the increasing popularity of time-aware ranking models in microblog search (Zahedi et al 2017;Rao et al 2017;Chen et al 2018;Liu et al 2019;Martins, Magalhães, and Callan 2019) and recommendation systems (Xue et al 2019;Zhang et al 2020).…”
Section: Introductionmentioning
confidence: 99%
“…In other words, evidence ranking should be time-aware. Our choice for time-aware evidence ranking is also motivated by the importance of temporal features in document retrieval and ranking (Dakka, Gravano, and Ipeirotis 2010) and the increasing popularity of time-aware ranking models in microblog search (Zahedi et al 2017;Rao et al 2017;Chen et al 2018;Liu et al 2019;Martins, Magalhães, and Callan 2019) and recommendation systems (Xue et al 2019;Zhang et al 2020).…”
Section: Introductionmentioning
confidence: 99%
“…Blogs have been used now a days for inbound marketing too where visitors can become customers if contents and data is quite interesting [3]. Recently, the number of blogs has been growing rapidly and hence, the significance of blogs cannot be overlooked [1]- [2]. Now a day"s Online news and e-articles have deployed ranking via algorithms, that measures the number of tags, track back links and comments [20].…”
Section: Introductionmentioning
confidence: 99%