Ghent University Academic Bibliography

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Analyzing accuracy versus diversity in a health recommender system for physical activities : a longitudinal user study

Ine Coppens (UGent) , Luc Martens (UGent) and Toon De Pessemier (UGent)

(2023) Proceedings of the 17th ACM Conference on Recommender Systems (RecSys 2023). p.1146-1151
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Multi-target prediction : a unifying view on problems and methods

Willem Waegeman (UGent) , Krzysztof Dembczyński and Eyke Hüllermeier

(2019) DATA MINING AND KNOWLEDGE DISCOVERY. 33(2). p.293-324
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- Journal Article
- A1
- open access
Hybrid group recommendations for a travel service

Toon De Pessemier (UGent) , Jeroen Dhondt and Luc Martens (UGent)

(2017) MULTIMEDIA TOOLS AND APPLICATIONS. 76(2). p.2787-2811
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- Journal Article
- A1
Context-aware location recommendation using geotagged photos in social media

Haosheng Huang (UGent)

(2016) ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION. 5(11).
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- Conference Paper
- P1
- open access
Extending user profiles in collaborative filtering algorithms to alleviate the sparsity problem

Toon De Pessemier (UGent) , Kris Vanhecke (UGent) , Simon Dooms (UGent) , Tom Deryckere (UGent) and Luc Martens (UGent)

(2011) LECTURE NOTES IN BUSINESS INFORMATION PROCESSING. 75(4). p.230-244
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Using collaborative filtering for dealing with missing values in nuclear safeguards evaluation

Rosa M Rodríguez, Luis Martínez, Da Ruan (UGent) and Jun Liu

(2010) INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS. 18(4). p.431-449

Academic Bibliography

Analyzing accuracy versus diversity in a health recommender system for physical activities : a longitudinal user study

Multi-target prediction : a unifying view on problems and methods

Hybrid group recommendations for a travel service

Context-aware location recommendation using geotagged photos in social media

Extending user profiles in collaborative filtering algorithms to alleviate the sparsity problem

Using collaborative filtering for dealing with missing values in nuclear safeguards evaluation

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