What is it about?
A novel technique for measuring the similarity values between users in collaborative filtering recommender systems depending on genetic algorithm
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Why is it important?
We proposed a new technique for calculating the similarity values between users without using any of well-known similarity functions. This technique improve the quality of recommendation and the performance of genetic-based recommender system.
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This page is a summary of: Using genetic algorithms for measuring the similarity values between users in collaborative filtering recommender systems, June 2016, Institute of Electrical & Electronics Engineers (IEEE),
DOI: 10.1109/icis.2016.7550751.
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