Nearest neighbors-based CF methods use some similarity measure techniques to find similar users/items for an active user/item. Almost all similarity measurement ...
We use Jaccard Similarity [5] to estimate individual user satisfaction (the rate of the preferred ingredients over the number of all the ingredients of a given ...
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A Jaccard base similarity measure to improve performance of CF based recommender systems ... model-based CF and memory-based CF [7]. Model-based approaches ...
Apr 6, 2021 · This paper introduces three simply-designed similarity measures, namely, difference-based similarity measure (SMD), hybrid difference-based similarity measure ...
In this paper we provide an in-depth review on similarity measures used for CF-based RS. For each measure, we outline its fundamental background and we test ...
The Jaccard index similarity metric provides more accurate recommendations to users in less time.
A dozen of similarity measures have been proposed to reach the desired performance particularly under the circumstances of data sparsity (the cold-start problem) ...
The key aim is to experimentally prove that jaccard measure can effectively contribute in enhancing the performance of numerical measures. 2. Literature Review.
A Jaccard base similarity measure to improve performance of CF based recommender systems. Conference Paper. Full-text available. Jan 2018.
A Jaccard base similarity measure to improve performance of CF based recommender systems · Modified Heuristic Similarity Measure for Personalization using ...