Recommender Systems: The Textbook
E1125803
UNEXPLORED
Recommender Systems: The Textbook is a comprehensive academic book by Charu C. Aggarwal that systematically covers the theory, algorithms, and practical applications of modern recommender systems.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Recommender Systems: The Textbook canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T14890539 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Recommender Systems: The Textbook Context triple: [Charu C. Aggarwal, notableWork, Recommender Systems: The Textbook]
-
A.
ACM RecSys
ACM RecSys is the premier international conference dedicated to research and innovation in recommender systems.
-
B.
Mining of Massive Datasets
"Mining of Massive Datasets" is a widely used textbook that introduces practical and scalable data mining and machine learning techniques for analyzing large-scale datasets.
-
C.
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques is a widely used academic textbook that systematically introduces the principles, algorithms, and practical methods of data mining and knowledge discovery from large datasets.
-
D.
Deep learning techniques for music recommendation (doctoral work)
"Deep learning techniques for music recommendation (doctoral work)" is Sander Dieleman’s PhD thesis that pioneered the application of deep neural networks to improve automated music recommendation and discovery.
-
E.
Top 10 algorithms in data mining
"Top 10 algorithms in data mining" is a widely cited survey paper that summarizes and evaluates the most influential data mining algorithms across key tasks such as classification, clustering, and association analysis.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Recommender Systems: The Textbook Target entity description: Recommender Systems: The Textbook is a comprehensive academic book by Charu C. Aggarwal that systematically covers the theory, algorithms, and practical applications of modern recommender systems.
-
A.
ACM RecSys
ACM RecSys is the premier international conference dedicated to research and innovation in recommender systems.
-
B.
Mining of Massive Datasets
"Mining of Massive Datasets" is a widely used textbook that introduces practical and scalable data mining and machine learning techniques for analyzing large-scale datasets.
-
C.
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques is a widely used academic textbook that systematically introduces the principles, algorithms, and practical methods of data mining and knowledge discovery from large datasets.
-
D.
Deep learning techniques for music recommendation (doctoral work)
"Deep learning techniques for music recommendation (doctoral work)" is Sander Dieleman’s PhD thesis that pioneered the application of deep neural networks to improve automated music recommendation and discovery.
-
E.
Top 10 algorithms in data mining
"Top 10 algorithms in data mining" is a widely cited survey paper that summarizes and evaluates the most influential data mining algorithms across key tasks such as classification, clustering, and association analysis.
- F. None of above. chosen
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.