

Volume 29, issue 2, April 2019
Special Issue on Recommender Systems based on Rich Item Descriptions
8 articles in this issue
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Content-based artwork recommendation: integrating painting metadata with neural and manually-engineered visual features
Authors (first, second and last of 5)
- Pablo Messina
- Vicente Dominguez
- Alvaro Soto
- Content type: OriginalPaper
- Published: 27 July 2018
- Pages: 251 - 290
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Movie genome: alleviating new item cold start in movie recommendation
Authors (first, second and last of 8)
- Yashar Deldjoo
- Maurizio Ferrari Dacrema
- Paolo Cremonesi
- Content type: OriginalPaper
- Open Access
- Published: 26 February 2019
- Pages: 291 - 343
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Affective recommender systems in online news industry: how emotions influence reading choices
Authors
- Jan Mizgajski
- Mikołaj Morzy
- Content type: OriginalPaper
- Open Access
- Published: 19 November 2018
- Pages: 345 - 379
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A comparative analysis of recommender systems based on item aspect opinions extracted from user reviews
Authors
- María Hernández-Rubio
- Iván Cantador
- Alejandro Bellogín
- Content type: OriginalPaper
- Published: 24 November 2018
- Pages: 381 - 441
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Addressing the user cold start with cross-domain collaborative filtering: exploiting item metadata in matrix factorization
Authors (first, second and last of 5)
- Ignacio Fernández-Tobías
- Iván Cantador
- Tommaso Di Noia
- Content type: OriginalPaper
- Published: 01 January 2019
- Pages: 443 - 486
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Connectionist recommendation in the wild: on the utility and scrutability of neural networks for personalized course guidance
Authors
- Zachary A. Pardos
- Zihao Fan
- Weijie Jiang
- Content type: OriginalPaper
- Published: 04 February 2019
- Pages: 487 - 525
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Feature-combination hybrid recommender systems for automated music playlist continuation
Authors (first, second and last of 6)
- Andreu Vall
- Matthias Dorfer
- Gerhard Widmer
- Content type: OriginalPaper
- Open Access
- Published: 09 April 2019
- Pages: 527 - 572