New Perspectives on Recommender Systems for Industries-Reference-Cited by-同舟云学术

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New Perspectives on Recommender Systems for Industries

Published:2022-09 Issue: Volume: Page:
ISSN:
Container-title:2022 5th International Conference on Artificial Intelligence for Industries (AI4I)
language:
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Author:

Ge Mouzhi¹,Pilato Giovanni²,Persia Fabio³,D’Auria Daniela⁴

Affiliation:

1. Deggendorf Institute of Technology,Faculty of European Campus Rottal-Inn,Deggendorf,Germany

2. Institute for High Performance Computing and Networking,National Research Council of Italy,Palermo,italy

3. University of L’Aquila,Department of Information Engineering Computer Science and Mathematics,L’Aquila,italy

4. Free University of Bozen-Bolzano,Faculty of Computer Science,Bozen-Bolzano,italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10123435/10123441/10123576.pdf?arnumber=10123576

Reference33 articles.

1. Improving orienteering-based tourist trip planning with social sensing

2. Tour recommendation and trip planning using location-based social media: a survey

3. Orienteering Problem: A survey of recent variants, solution approaches and applications

4. Recommendation systems with the quantum k–NN and Grover algorithms for data processing

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