Hochschulschrift
Analysis and evaluation of multi-relational recommender systems
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISBN
-
9783000381492
- Maße
-
21 cm
- Umfang
-
VII, 158 S.
- Sprache
-
Englisch
- Anmerkungen
-
graph. Darst.
Zugl.: Hildesheim, Univ., Diss., 2012
- Ereignis
-
Veröffentlichung
- (wo)
-
[Hildesheim, Sensburger Ring 34]
- (wer)
-
Artus Krohn-Grimberghe
- (wann)
-
[2012]
- Urheber
- Inhaltsverzeichnis
- Rechteinformation
-
Bei diesem Objekt liegt nur das Inhaltsverzeichnis digital vor. Der Zugriff darauf ist unbeschränkt möglich.
- Letzte Aktualisierung
-
11.06.2025, 13:56 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Hochschulschrift
Beteiligte
- Krohn-Grimberghe, Artus
- Artus Krohn-Grimberghe
Entstanden
- [2012]
Ähnliche Objekte (12)
Modeling and analyzing bias in recommender systems from multi-views: context, topic and evaluation
Relational cost analysis
Factorization models for multi-relational data
A Hybrid Multi-strategy Recommender System Using Linked Open Data
Research Paper Recommender System Evaluation : A Quantitative Literature Survey
Benchmarking recommender systems
Contextual Personality-Aware Recommender System Versus Big Data Recommender System
Evaluation of first order relational expressions
A comparative analysis of offline and online evaluations and discussion of research paper recommender system evaluation
Towards decentralized recommender systems
On multi-relational link prediction with bilinear models
Recommender systems and the social web : leveraging tagging data for recommender systems
Modeling and analyzing bias in recommender systems from multi-views: context, topic and evaluation
Relational cost analysis
Factorization models for multi-relational data
A Hybrid Multi-strategy Recommender System Using Linked Open Data
Research Paper Recommender System Evaluation : A Quantitative Literature Survey
Benchmarking recommender systems
Contextual Personality-Aware Recommender System Versus Big Data Recommender System
Evaluation of first order relational expressions
A comparative analysis of offline and online evaluations and discussion of research paper recommender system evaluation
Towards decentralized recommender systems
On multi-relational link prediction with bilinear models
Recommender systems and the social web : leveraging tagging data for recommender systems
Modeling and analyzing bias in recommender systems from multi-views: context, topic and evaluation
Relational cost analysis
Factorization models for multi-relational data
A Hybrid Multi-strategy Recommender System Using Linked Open Data
Research Paper Recommender System Evaluation : A Quantitative Literature Survey
Benchmarking recommender systems
Contextual Personality-Aware Recommender System Versus Big Data Recommender System
Evaluation of first order relational expressions
A comparative analysis of offline and online evaluations and discussion of research paper recommender system evaluation
Towards decentralized recommender systems
On multi-relational link prediction with bilinear models