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Research Paper | Computer Science and Information Technology | Mexico | Volume 9 Issue 9, September 2020
A Personalized Hybrid Restaurant Recommender System through Conversations
Karina Gonzalez Herrera | Maria Luisa Cervantes Piedras | Alejandro Ramirez Ramos | Blanca Estela Pedroza Mendez | Eduardo Sanchez Lucero
Abstract: Providing accurate information from restaurants to make a decision on where to eat is becoming increasingly difficult as the amount of information and the number of options increases. The system treats the selection of restaurants of interest as an interactive and conversational process, with recommendation systems researching the attributes of restaurants and responding to the user. It was tested on a sample of 100 users.
Keywords: Recommendation systems, artificial intelligence, machine learning
Edition: Volume 9 Issue 9, September 2020,
Pages: 755 - 758
Similar Articles with Keyword 'artificial intelligence'
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Research Paper, Computer Science and Information Technology, United States of America, Volume 12 Issue 7, July 2023
Pages: 1330 - 1340Optimizing Efficiency and Performance: Investigating Data Pipelines for Artificial Intelligence Model Development and Practical Applications
Manoj Suryadevara | Sandeep Rangineni | Srinivas Venkata
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Analysis Study Research Paper, Computer Science and Information Technology, Nigeria, Volume 13 Issue 3, March 2024
Pages: 1675 - 1679Variations and Emerging Trends in Software Engineering
Elijah Ailen OMIJIE