Results 231 to 240 of about 31,699 (263)

Community Collaborative Filtering

2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008
This paper presents a novel approach from a perspective of considering community structures to collaborative filtering. In our approach, multiple types of information are be explored and exploited, including item content, user demography, use-item ratings, use-item structure and user social information.
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Collaborative Filtering

2017
Mohamed Sarwat, Mohamed F. Mokbel
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Automated Collaborative Filtering

2000
Wie in Abschnitt 2.5 ff. beschrieben, basieren Collaborative-Filtering-Verfahren auf dem Gedanken, das man uber eine Gruppe von Personen verfugt, die in einen automatischen Erfahrungsaustausch einbezogen werden soll. Die Benutzer geben ihre individuellen Praferenzen fur eine Anzahl von Objekten ab.
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Integrative oncology: Addressing the global challenges of cancer prevention and treatment

Ca-A Cancer Journal for Clinicians, 2022
Jun J Mao,, Msce, Lorenzo Cohen, Karen M Mustian   +2 more
exaly  

Collaborative Filtering

2019
Ashrf Althbiti, Xiaogang Ma
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Collaborative Filtering

2007
Richard E. Neapolitan, Xia Jiang
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Collaborative Filtering

2008
Robert C. Blattberg, Byung-Do Kim, Scott A. Neslin   +2 more
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Collaborative Filtering

2013
Tiejian Luo, Su Chen, Guandong Xu, Jia Zhou   +3 more
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Collaborative Filtering Techniques

2021
Pallavi Mishra, Sachi Nandan Mohanty
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Causal collaborative filtering

In the era of information explosion, recommender systems have become crucial tools for fulfilling users' personalized and complex demands, finding widespread application in various real-world services such as e-commerce, job seeking, and social media.
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