CERIST at INEX 2015: Social Book Search Track

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dc.contributor.authorChaa, Messaoud
dc.contributor.authorNouali, Omar
dc.date.accessioned2015-07-12T07:24:33Z
dc.date.available2015-07-12T07:24:33Z
dc.date.issued2015
dc.description.abstractIn this paper, we describe our participation in the INEX 2015 Social Book Search Suggestion Track (SBS). We have exploited in our experiments only the tags assigned by users to books provided from LibraryThing (LT). We have investigated the impact of the weight of each term of the topic in the retrieval model using two methods. In the first method, we have used the TF-IQF formula to assign a weight to each term of the topic. In the second method, we have used Rocchio algorithm to expand the query and calculate the weight of the tags assigned to the example books mentioned in the book search request. Parameters of our models have been tuned using the topics of INEX 2014 and tested on INEX 2015 Social Book Search track.fr_FR
dc.identifier.isrnCERIST-DRDSI/RR--15-000000024--dzfr_FR
dc.identifier.urihttp://dl.cerist.dz/handle/CERIST/764
dc.publisherCERIST
dc.relation.ispartofRapports de recherche internes
dc.relation.placeAlger
dc.structureRecherche, Filtrage et Traitement Automatique de l'Informationfr_FR
dc.subjectSocial book Searchfr_FR
dc.subjectTF-IQFfr_FR
dc.subjectTag-Basedfr_FR
dc.subjectRocchio Algorithmfr_FR
dc.subjectQuery Expansionfr_FR
dc.titleCERIST at INEX 2015: Social Book Search Trackfr_FR
dc.typeTechnical Report
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