Results 31 to 40 of about 102,392 (276)
Research on User Similarity Calculation of Collaborative Filtering for Sparse Data [PDF]
Jisuanji kexue yu tansuo, 2022 User-based collaborative filtering achieves recommendation for target users based on the preferences of their nearest neighbors, in which how to calculate user similarity is critical.
WU Sen, DONG Yaxian, WEI Guiying, GAO Xiaonan
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Self-adaptive GA, quantitative semantic similarity measures and ontology-based text clustering [PDF]
, 2008 As the common clustering algorithms use vector space model (VSM) to represent document, the conceptual relationships between related terms which do not co-occur literally are ignored.
Li, Chenghua +3 more
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Soft Similarity and Soft Cosine Measure: Similarity of Features in Vector Space Model [PDF]
Computación y Sistemas, 2014 We show how to consider similarity between features for calculation of similarity of objects in the Vector Space Model (VSM) for machine learning algorithms and other classes of methods that involve similarity between objects. Unlike LSA, we assume that similarity between features is known (say, from a synonym dictionary) and does not need to be ...
Grigori Sidorov +3 more
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Misfire Fault Diagnosis Method of Gasoline Engines Using the Cosine Similarity Measure of Neutrosophic Numbers [PDF]
Neutrosophic Sets and Systems, 2015 This paper proposes a distance measure of neutrosophic numbers and a similarity measure based on cosine function, and then develops the misfire fault diagnosis method of gasoline engines by using the cosine similarity measure of neutrosophic numbers.
Lingwei Kong, Yuefeng Wu, Jun Ye
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IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2013 — Document similarity can be used as a reference for other information searches similar. So as to reduce the time-re-appointment for information following a similar document.
Mardi Siswo Utomo, Edi Winarko
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Cosine Similarity Measures Of Neutrosophic Soft Set
, 2016 In this paper we have introduced the concept of cosine similarity measures for neutrosophic soft set and interval valued neutrosophic soft set.An application is given to show its practicality and effectiveness.
Sumathi, I. R., Arockiarani, I.
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Cosine Similarity Measure Based Multi-attribute Decision-making with Trapezoidal Fuzzy Neutrosophic Numbers [PDF]
Neutrosophic Sets and Systems, 2015 The objective of the study is to present cosine similarity measure based multi-attribute decision making under neutrosophic environment. The assesments of alternatives over the attributes are expressed with trapezoidal fuzzy neutrosophic numbers in which
Pranab Biswas +2 more
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Unsupervised Measure of Word Similarity: How to Outperform Co-occurrence and Vector Cosine in VSMs
, 2016 In this paper, we claim that vector cosine, which is generally considered among the most efficient unsupervised measures for identifying word similarity in Vector Space Models, can be outperformed by an unsupervised measure that calculates the extent of ...
Chiu, Tin-Shing +4 more
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HeliyonSimilarity measures and distance measures are used in a variety of domains, such as data clustering, image processing, retrieval of information, and recognizing patterns, in order to measure the degree of similarity or divergence between elements or ...
Muhammad Rahim +4 more
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Complexity, 2021 Since the user recommendation complex matrix is characterized by strong sparsity, it is difficult to correctly recommend relevant services for users by using the recommendation method based on location and collaborative filtering.
Lili Wang, Ting Shi, Shijin Li
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