Results 21 to 30 of about 143,343 (277)
Using Corpus and Knowledge-Based Similarity Measure in Maximum Marginal Relevance for Meeting Summarization [PDF]
, 2008 MMR (Maximum Marginal Relevance) is widely used in summarization for its simplicity and efficacy, and has been demonstrated to achieve comparable performance to other approaches for meeting summarization.
Shasha Xie, Yang Liu
core +1 more source
Jurnal Teknologi Informasi dan Ilmu KomputerTempatkan Era digital memudahkan akses dokumen online dalam jumlah besar menjadi lebih mudah dan cepat, namun juga menimbulkan tantangan kompleks dalam pengelolaan dan analisis informasi.
Dede Iskandar, Ana Kurniawati
doaj +3 more sources
Algorithms, 2023 To solve the problem of text clustering according to semantic groups, we suggest using a model of a unified lexico-semantic bond between texts and a similarity matrix based on it.
Liliya Demidova +3 more
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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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IEEE Access, 2019 The linguistic q-rung orthopair fuzzy sets (Lq-ROFSs) can fully represent linguistic evaluation information by adjusting the parameter $q$ to describe the range of uncertain information.
Dan Peng +3 more
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Cosine Similarity Entropy: Self-Correlation-Based Complexity Analysis of Dynamical Systems
Entropy, 2017 The nonparametric Sample Entropy (SE) estimator has become a standard for the quantification of structural complexity of nonstationary time series, even in critical cases of unfavorable noise levels.
Theerasak Chanwimalueang +1 more
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Journal of Applied Informatics and Computing, 2023 Helpdesk chatbots are growing in popularity due to their ability to provide help and answers to user questions quickly and effectively. Chatbot development poses several challenges, including enhancing accuracy in understanding user queries and providing
Gede Herdian Setiawan +1 more
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A Triangle Inequality for Cosine Similarity [PDF]
, 2021 Similarity search is a fundamental problem for many data analysis techniques. Many efficient search techniques rely on the triangle inequality of metrics, which allows pruning parts of the search space based on transitive bounds on distances. Recently, Cosine similarity has become a popular alternative choice to the standard Euclidean metric, in ...
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Cosine Similarity-Based Pruning for Concept Discovery [PDF]
, 2016 In this work we focus on improving the time efficiency of Inductive Logic Programming (ILP)-based concept discovery systems. Such systems have scalability issues mainly due to the evaluation of large search spaces. Evaluation of the search space cosists translating candidate concept descriptor into SQL queries, which involve a number of equijoins on ...
KARAGÖZ, PINAR +2 more
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Improved cosine similarity and distance measures-based TOPSIS method for cubic Fermatean fuzzy sets
Alexandria Engineering Journal, 2023 Similarity and distance measures play important roles in fuzzy environments, helping to quantify the degree of similarity or concepts that may not have clear limits.
Muhammad Rahim +4 more
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