Results 141 to 150 of about 66,257 (173)

Recommender systems

This study conducts a quantitative comparison between fuzzy logic expert systems and traditional recommender systems for movie recommendations, with a focus on capturing a wide variety of human consumer trends. Traditional recommender systems, characterized by their deterministic approach to user preferences, are contrasted with fuzzy logic expert ...
Pablo Castells, Dietmar Jannach
openaire   +3 more sources

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  

Recommendation Systems

Recommendation systems are critical tools used by marketing departments to provide customers with product recommendations. Data scientists also use recommendation system analysis to assess the effectiveness of product and service suggestions. There are two types of recommendation systems: content-based and collaborative filtering.
openaire   +1 more source

Recommender systems

Communications of the ACM, 1997
Paul Resnick, Hal R. Varian
openaire   +1 more source

Recommendation Systems

2018
K. G. Srinivasa, Siddesh G. M., Srinidhi H.   +2 more
openaire   +2 more sources

Recommender Systems

2020
Jie Lu, Qian Zhang, Guangquan Zhang
openaire   +1 more source

Obesity and adverse breast cancer risk and outcome: Mechanistic insights and strategies for intervention

Ca-A Cancer Journal for Clinicians, 2017
Cynthia Morata-Tarifa, Joyce M Slingerland   +1 more
exaly  

Multidisciplinary standards of care and recent progress in pancreatic ductal adenocarcinoma

Ca-A Cancer Journal for Clinicians, 2020
Aaron J Grossberg, William L Hwang, Anirban Maitra   +2 more
exaly  

Recommendation Systems

2012
Esther Pacitti, Reza Akbarinia, Manal El-Dick   +2 more
openaire   +2 more sources

Recommendations Systems

2019
openaire   +1 more source