%0 Book Section %1 citeulike:4693647 %A da Costa Pereira, Célia %A Dragoni, Mauro %A Pasi, Gabriella %B Advances in Information Retrieval %C Berlin, Heidelberg %D 2009 %E Boughanem, Mohand %E Berrut, Catherine %E Mothe, Josiane %E Soule-Dupuy, Chantal %I Springer Berlin Heidelberg %K information-retrieval personalization relevance %P 264--275 %R 10.1007/978-3-642-00958-7_25 %T Multidimensional Relevance: A New Aggregation Criterion %U http://dx.doi.org/10.1007/978-3-642-00958-7_25 %V 5478 %X In this paper, a new model for aggregating multiple criteria evaluations for relevance assessment is proposed. An information retrieval context is considered, where relevance is modelled as a multidimensional property of documents. In the paper, the proposed aggregation operator is applied to define a model for personalized Information Retrieval (IR), in which four criteria are considered in order to assess document relevance: aboutness, coverage, appropriateness and reliability. The originality of this approach lies in the aggregation of the considered criteria in a prioritized way, by considering the existence of a prioritization relationship over the criteria. Such a prioritization is modeled by making the weights associated with a criterion dependent upon the satisfaction of the higher-priority criteria. This way, it is possible to take into account the fact that the weight of a less important criterion should be proportional to the satisfaction degree of the more important criterion. In the paper, some preliminary experimental results are also reported. %& 25 %@ 978-3-642-00957-0

@incollection{citeulike:4693647, abstract = {{In this paper, a new model for aggregating multiple criteria evaluations for relevance assessment is proposed. An information retrieval context is considered, where relevance is modelled as a multidimensional property of documents. In the paper, the proposed aggregation operator is applied to define a model for personalized Information Retrieval (IR), in which four criteria are considered in order to assess document relevance: aboutness, coverage, appropriateness and reliability. The originality of this approach lies in the aggregation of the considered criteria in a prioritized way, by considering the existence of a prioritization relationship over the criteria. Such a prioritization is modeled by making the weights associated with a criterion dependent upon the satisfaction of the higher-priority criteria. This way, it is possible to take into account the fact that the weight of a less important criterion should be proportional to the satisfaction degree of the more important criterion. In the paper, some preliminary experimental results are also reported.}}, added-at = {2017-11-15T17:02:25.000+0100}, address = {Berlin, Heidelberg}, author = {da Costa Pereira, C\'{e}lia and Dragoni, Mauro and Pasi, Gabriella}, biburl = {https://www.bibsonomy.org/bibtex/2189b002ec1004de802f0fd30f875ae80/brusilovsky}, booktitle = {Advances in Information Retrieval }, chapter = 25, citeulike-article-id = {4693647}, citeulike-linkout-0 = {http://dblp.uni-trier.de/rec/bibtex/conf/ecir/PereiraDP09}, citeulike-linkout-1 = {http://dx.doi.org/10.1007/978-3-642-00958-7_25}, citeulike-linkout-2 = {http://www.springerlink.com/content/x312772641823331}, doi = {10.1007/978-3-642-00958-7_25}, editor = {Boughanem, Mohand and Berrut, Catherine and Mothe, Josiane and Soule-Dupuy, Chantal}, interhash = {de43fc6d2b841c6024e359b20271e04f}, intrahash = {189b002ec1004de802f0fd30f875ae80}, isbn = {978-3-642-00957-0}, keywords = {information-retrieval personalization relevance}, pages = {264--275}, posted-at = {2010-08-03 20:37:19}, priority = {3}, publisher = {Springer Berlin Heidelberg}, series = {Lecture Notes in Computer Science}, timestamp = {2021-09-14T21:15:33.000+0200}, title = {{Multidimensional Relevance: A New Aggregation Criterion}}, url = {http://dx.doi.org/10.1007/978-3-642-00958-7_25}, volume = 5478, year = 2009 }