Show simple item record

dc.contributor.authorRen, Pengjie
dc.contributor.authorChen, Zhumin
dc.contributor.authorMa, Jun
dc.contributor.authorWang, Shuaiqiang
dc.contributor.authorZhang, Zhiwei
dc.contributor.authorRen, Zhaochun
dc.contributor.authorMa, Tinghuai
dc.date.accessioned2017-12-04T06:46:09Z
dc.date.available2020-01-01T22:35:47Z
dc.date.issued2018
dc.identifier.citationRen, P., Chen, Z., Ma, J., Wang, S., Zhang, Z., Ren, Z., & Ma, T. (2018). User Session Level Diverse Reranking of Search Results. <i>Neurocomputing</i>, <i>274</i>, 66-79. <a href="https://doi.org/10.1016/j.neucom.2016.05.087" target="_blank">https://doi.org/10.1016/j.neucom.2016.05.087</a>
dc.identifier.otherCONVID_26131425
dc.identifier.otherTUTKAID_70731
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/56098
dc.description.abstractMost Web search diversity approaches can be categorized as Document Level Diversification (DocLD), Topic Level Diversification (TopicLD) or Term Level Diversification (TermLD). DocLD selects the relevant documents with minimal content overlap to each other. It does not take the coverage of query subtopics into account. TopicLD solves this by modeling query subtopics explicitly. However, the automatic mining of query subtopics is difficult. TermLD tries to cover as many query topic terms as possible, which reduces the task of finding a query's subtopics into finding a set of representative topic terms. In this paper, we propose a novel User Session Level Diversification (UserLD) approach based on the observation that a query's subtopics are implicitly reflected by the search intents in different user sessions. Our approach consists of two phases: (I) Session Graph Construction and (II) Diversity Reranking. For a given query, phase (I) builds a Session Graph which considers relevant user sessions and preliminary retrieval results as nodes and the nodes' pairwise similarities as edge weights. Phase (II) reranks the preliminary retrieval results by minimizing a Session Graph based diversity loss function. Extensive experiments on two standard datasets of NACSIS Test Collections for IR (NTCIR) demonstrate the effectiveness of our approach. The advantage of our approach lies in its ability of avoiding mining the query subtopics in advance while achieving almost the same or better performances compared with previous approaches.
dc.language.isoeng
dc.publisherElsevier BV
dc.relation.ispartofseriesNeurocomputing
dc.subject.otherhakutulokset
dc.subject.othersearch result diversification
dc.subject.othersearch result reranking
dc.subject.othersession graph
dc.subject.otheruser session
dc.titleUser Session Level Diverse Reranking of Search Results
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-201711204297
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosFaculty of Information Technologyen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.date.updated2017-11-20T07:15:09Z
dc.type.coarjournal article
dc.description.reviewstatuspeerReviewed
dc.format.pagerange66-79
dc.relation.issn0925-2312
dc.relation.numberinseries0
dc.relation.volume274
dc.type.versionacceptedVersion
dc.rights.copyright© 2016 Elsevier B.V. This is a final draft version of an article whose final and definitive form has been published by Elsevier. Published in this repository with the kind permission of the publisher.
dc.rights.accesslevelopenAccessfi
dc.relation.grantnumber268078
dc.subject.ysotiedonhaku
dc.subject.ysoInternet
jyx.subject.urihttp://www.yso.fi/onto/yso/p2964
jyx.subject.urihttp://www.yso.fi/onto/yso/p20405
dc.relation.doi10.1016/j.neucom.2016.05.087
dc.relation.funderSuomen Akatemiafi
dc.relation.funderAcademy of Finlanden
jyx.fundingprogramAkatemiahanke, SAfi
jyx.fundingprogramAcademy Project, AoFen
jyx.fundinginformationThis work is supported by the Natural Science Foundation of China (61272240, 61103151, 71402083), the Doctoral Fund of Ministry of Education of China (20110131110028), the Academy of Finland (268078), the Natural Science Foundation of Shandong Province (ZR2012FM037), the Excellent Middle-Aged and Youth Scientists of Shandong Province (BS2012DX017), the Fundamental Research Funds of Shandong University, the Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions, and Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology.


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record