A recommendation system for online social semantic network using knowledge based, content based and collaborative filtering
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Published:2023
Issue:4
Volume:44
Page:795-806
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ISSN:0252-2667
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Container-title:Journal of Information and Optimization Sciences
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language:
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Short-container-title:JIOS
Author:
Chhikara Monika,Malik Sanjay Kumar
Abstract
Recommendation systems are a very popular service whose accuracy and sophistication keeps increasing every day. Yet current systems pose a limitation on personalized user recommendation, which we wish to improve. We are developing Content-Based, Collaborative Filtering and Knowledge-Based models and we wish to find the most appropriate approach to build restaurant recommendation systems. We followed steps that involved a pipeline to process reviews of restaurants obtained from a widely used online network of zomato users (India’s largest restaurant service) and calculate ratings of restaurants from reviews. Using a machine learning technique, it continuously analyses user restaurant visit patterns.
Publisher
Taru Publications
Subject
General Earth and Planetary Sciences,General Environmental Science