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Collaborative Filtering with Entropy-Driven User Similarity in Recommender Systems
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/int.20206openalex-snapshot
Intelligent e-government services with personalized recommendation techniques
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Collaborative Filtering with the Simple Bayesian Classifier
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Collaborative Tag Recommendations
inferredcites →https://doi.org/10.1007/978-3-642-54924-3_42openalex-snapshot
A New Similarity Measure-Based Collaborative Filtering Approach for Recommender Systems
inferredcites →https://doi.org/10.1016/j.compedu.2004.01.006openalex-snapshot
Personalized e-learning system using Item Response Theory
inferredcites →https://doi.org/10.1016/j.dss.2012.09.005openalex-snapshot
A trust-semantic fusion-based recommendation approach for e-business applications
inferredcites →https://doi.org/10.1016/j.knosys.2013.11.006openalex-snapshot
A new user similarity model to improve the accuracy of collaborative filtering
inferredcites →https://doi.org/10.1023/a:1020443909834openalex-snapshot
An Empirical Analysis of Design Choices in Neighborhood-Based Collaborative Filtering Algorithms
inferredcites →https://doi.org/10.1109/mic.2003.1167344openalex-snapshot
Amazon.com recommendations: item-to-item collaborative filtering
inferredcites →https://doi.org/10.1111/j.1467-8640.2012.00427.xopenalex-snapshot
A WEB‐BASED PERSONALIZED BUSINESS PARTNER RECOMMENDATION SYSTEM USING FUZZY SEMANTIC TECHNIQUES
inferredcites →https://doi.org/10.1145/1921591.1921593openalex-snapshot
Comparison of collaborative filtering algorithms
inferredcites →https://doi.org/10.1145/312624.312682openalex-snapshot
An algorithmic framework for performing collaborative filtering
inferredcites →https://doi.org/10.1145/3130348.3130372openalex-snapshot
An Algorithmic Framework for Performing Collaborative Filtering
inferredcites →https://doi.org/10.1145/371920.372071openalex-snapshot
Item-based collaborative filtering recommendation algorithms
inferredcites →https://doi.org/10.48550/arxiv.1301.7363openalex-snapshot
Empirical Analysis of Predictive Algorithms for Collaborative Filtering
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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inferred← citeshttps://doi.org/10.1007/978-3-031-21743-2_50openalex-snapshot
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Using entropy for similarity measures in collaborative filtering
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Hybrid convolutional neural network (CNN) and long-short term memory (LSTM) based deep learning model for detecting shilling attack in the social-aware network
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An Effective Model for Jaccard Coefficient to Increase the Performance of Collaborative Filtering
inferred← citeshttps://doi.org/10.1016/j.csi.2016.10.014openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.engappai.2023.106842openalex-snapshot
Measuring similarity based on user activeness in recommender systems to improve algorithm scalability
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Survey of similarity functions on neighborhood-based collaborative filtering
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A hybrid multidimensional Recommender System for radio programs
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Providing reliability in recommender systems through Bernoulli Matrix Factorization
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inferred← citeshttps://doi.org/10.1016/j.jocs.2018.04.009openalex-snapshot
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An Improved Product Recommendation Method for Collaborative Filtering
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inferred← citeshttps://doi.org/10.1109/dsc.2016.23openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/eecs.2018.00077openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/iccairo.2018.00023openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icces48960.2019.9068169openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3460231.3474243openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3588901openalex-snapshot
KGFlex: Efficient Recommendation with Sparse Feature Factorization and Knowledge Graphs
inferred← citeshttps://doi.org/10.1155/2021/9998948openalex-snapshot
Research on the Application of User Recommendation Based on the Fusion Method of Spatially Complex Location Similarity
inferred← citeshttps://doi.org/10.1515/jisys-2022-9030openalex-snapshot
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inferred← citeshttps://doi.org/10.18280/ama_b.600104openalex-snapshot
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inferred← citeshttps://doi.org/10.20868/upm.thesis.54719openalex-snapshot
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inferred← citeshttps://doi.org/10.21541/apjess.1060744openalex-snapshot
A Novel Algorithmic Similarity Measure for Collaborative Filtering: A Recommendation System Based on Rating Distances
inferred← citeshttps://doi.org/10.21608/jocc.2022.218455openalex-snapshot
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inferred← citeshttps://doi.org/10.32431/kace.2018.21.5.006openalex-snapshot
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