中国机械工程学会生产工程分会知识服务平台

期刊


ISSN0924-1868
刊名User Modeling and User-Adapted Interaction
参考译名用户模型建立与适应用户的交互作用
收藏年代2002～2022



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2014 2015 2016 2017 2018 2019
2020 2021 2022

2019, vol.29, no.1 2019, vol.29, no.2 2019, vol.29, no.3 2019, vol.29, no.4 2019, vol.29, no.5

题名作者出版年年卷期
Trends in content-based recommendation: Preface to the special issue on Recommender systems based on rich item descriptionsLops, Pasquale; Jannach, Dietmar; Musto, Cataldo; Bogers, Toine; Koolen, Marijn20192019, vol.29, no.2
Connectionist recommendation in the wild: on the utility and scrutability of neural networks for personalized course guidancePardos, Zachary A.; Fan, Zihao; Jiang, Weijie20192019, vol.29, no.2
Movie genome: alleviating new item cold start in movie recommendationDeldjoo, Yashar; Dacrema, Maurizio Ferrari; Constantin, L. Mihai Gabriel; Eghbal-Zadeh, Hamid; Cereda, Stefano; Schedl, Markus; Ionescu, Bogdan; Cremonesi, Paolo20192019, vol.29, no.2
Feature-combination hybrid recommender systems for automated music playlist continuationVall, Andreu; Dorfer, Matthias; Schedl, Markus; Burjorjee, Keki; Widmer, Gerhard; Eghbal-Zadeh, Hamid20192019, vol.29, no.2
A comparative analysis of recommender systems based on item aspect opinions extracted from user reviewsHernandez-Rubio, Maria; Cantador, Ivan; Bellogin, Alejandro20192019, vol.29, no.2
Affective recommender systems in online news industry: how emotions influence reading choicesMorzy, Mikolaj; Mizgajski, Jan20192019, vol.29, no.2
Content-based artwork recommendation: integrating painting metadata with neural and manually-engineered visual featuresMessina, Pablo; Dominguez, Vicente; Parra, Denis; Trattner, Christoph; Soto, Alvaro20192019, vol.29, no.2
Addressing the user cold start with cross-domain collaborative filtering: exploiting item metadata in matrix factorizationFernandez-Tobias, Ignacio; Cantador, Ivan; Tomeo, Paolo; Anelli, Vito Walter; Di Noia, Tommaso20192019, vol.29, no.2



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