FELRec: efficient handling of item cold-start with dynamic representation learning in recommender systems
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
1 Online-Ressource.
- Language
-
Englisch
- Bibliographic citation
-
FELRec: efficient handling of item cold-start with dynamic representation learning in recommender systems ; day:7 ; month:10 ; year:2024 ; pages:1-14
International journal of data science and analytics ; (7.10.2024), 1-14
- Creator
-
Weimann, Kuba
Conrad, Tim O. F.
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s41060-024-00635-5
- URN
-
urn:nbn:de:101:1-2412242101581.029978996753
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:38 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Weimann, Kuba
- Conrad, Tim O. F.
- SpringerLink (Online service)
Other Objects (12)
Automated Test Assembly for Handling Learner Cold-Start in Large-Scale Assessments
Meta-User2Vec model for addressing the user and item cold-start problem in recommender systems
The cold war : historiography, memory, representation
Recommender Systems
A Knowledge Representation Framework for Handling Elementary (Patent) Pragmatics
Benchmarking recommender systems
Cold start for the green innovation machine
Recommendations from cold starts in big data
Contextual Personality-Aware Recommender System Versus Big Data Recommender System
Contextual Personality-Aware Recommender System Versus Big Data Recommender System
Handling precedence constraints in scheduling problems by the sequence pair representation
Improving cold-start recommendations using item-based stereotypes
Automated Test Assembly for Handling Learner Cold-Start in Large-Scale Assessments
Meta-User2Vec model for addressing the user and item cold-start problem in recommender systems
The cold war : historiography, memory, representation
Recommender Systems
A Knowledge Representation Framework for Handling Elementary (Patent) Pragmatics
Benchmarking recommender systems
Cold start for the green innovation machine
Recommendations from cold starts in big data
Contextual Personality-Aware Recommender System Versus Big Data Recommender System
Contextual Personality-Aware Recommender System Versus Big Data Recommender System
Handling precedence constraints in scheduling problems by the sequence pair representation
Improving cold-start recommendations using item-based stereotypes
Automated Test Assembly for Handling Learner Cold-Start in Large-Scale Assessments
Meta-User2Vec model for addressing the user and item cold-start problem in recommender systems
The cold war : historiography, memory, representation
Recommender Systems
A Knowledge Representation Framework for Handling Elementary (Patent) Pragmatics
Benchmarking recommender systems
Cold start for the green innovation machine
Recommendations from cold starts in big data
Contextual Personality-Aware Recommender System Versus Big Data Recommender System
Contextual Personality-Aware Recommender System Versus Big Data Recommender System
Handling precedence constraints in scheduling problems by the sequence pair representation