Results 121 to 130 of about 218,320 (152)

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

Oral complications of cancer and cancer therapy

Ca-A Cancer Journal for Clinicians, 2012
Joel B Epstein, Rene-Jean Bensadoun, Andrei Barasch   +2 more
exaly