Show simple item record

dc.contributor.authorCoba L
dc.contributor.authorSymeonidis P
dc.contributor.authorZanker M
dc.date.accessioned2019-11-29T11:42:53Z
dc.date.available2019-11-29T11:42:53Z
dc.date.issued2019
dc.identifier.issn0169-023X
dc.identifier.urihttp://dx.doi.org/10.1016/j.datak.2019.06.003
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0169023X1830332X
dc.identifier.urihttps://bia.unibz.it/handle/10863/11617
dc.description.abstractRecommendation systems personalise suggestions to individuals to help them in their decision making and exploration tasks. In the ideal case, these recommendations, besides of being accurate, should also be novel and explainable. However, up to now most platforms fail to provide both, novel recommendations that advance users' exploration along with explanations to make their reasoning more transparent to them. For instance, a well-known recommendation algorithm, such as matrix factorisation (MF), optimises only the accuracy criterion, while disregarding other quality criteria such as the explainability or the novelty, of recommended items. In this paper, to the best of our knowledge, we propose a new model, denoted as NEMF, that allows to trade-off the MF performance with respect to the criteria of novelty and explainability, while only minimally compromising on accuracy. In addition, we recommend a new explainability metric based on nDCG, which distinguishes a more explainable item from a less explainable item. An initial user study indicates how users perceive the different attributes of these "user" style explanations and our extensive experimental results demonstrate that we attain high accuracy by recommending also novel and explainable items.en_US
dc.languageEnglish
dc.language.isoenen_US
dc.relation
dc.rights
dc.titlePersonalised Novel and Explainable Matrix Factorizationen_US
dc.typeArticleen_US
dc.date.updated2019-11-29T03:01:22Z
dc.language.isiEN-GB
dc.journal.titleData and Knowledge Engineering
dc.description.fulltextreserveden_US


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record