Multi-objective optimization for location-based and preferences-aware recommendation

Author:

Wang Shanfeng,Gong MaoguoORCID,Wu Yue,Zhang Mingyang

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

China Postdoctoral Science Foundation

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference37 articles.

1. Coevolutionary multiobjective evolutionary algorithms: survey of the state-of-the-art;Antonio;IEEE Trans. Evol. Comput.,2017

2. Location-based and preference-aware recommendation using sparse geo-social networking data;Bao,2012

3. Learning to recommend accurate and diverse items;Cheng,2017

4. Blockbusters and wallflowers: Accurate, diverse, and scalable recommendations with random walks;Christoffel,2015

5. Evolutionary multi-objective optimization: a historical view of the field;Coello Coello;IEEE Comput. Intell. Mag.,2006

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