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A balanced memory-based collaborative filtering similarity measure
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Recommending biomedical resources: A fuzzy linguistic approach based on semantic web
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Automatic keyphrase extraction and ontology mining for content-based tag recommendation
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A hybrid trust-enhanced collaborative filtering recommendation approach for personalized government-to-business e-services
inferredcites →https://doi.org/10.1016/j.eswa.2007.07.047openalex-snapshot
Evaluation of recommender systems: A new approach
inferredcites →https://doi.org/10.1016/j.eswa.2010.09.141openalex-snapshot
Utilizing various sparsity measures for enhancing accuracy of collaborative recommender systems based on local and global similarities
inferredcites →https://doi.org/10.1016/j.eswa.2011.05.021openalex-snapshot
A framework for collaborative filtering recommender systems
inferredcites →https://doi.org/10.1016/j.eswa.2011.07.005openalex-snapshot
Generalization of recommender systems: Collaborative filtering extended to groups of users and restricted to groups of items
inferredcites →https://doi.org/10.1016/j.ins.2007.02.036openalex-snapshot
Using SVD and demographic data for the enhancement of generalized Collaborative Filtering
inferredcites →https://doi.org/10.1016/j.ins.2007.07.024openalex-snapshot
A new similarity measure for collaborative filtering to alleviate the new user cold-starting problem
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A google wave-based fuzzy recommender system to disseminate information in University Digital Libraries 2.0
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A hybrid recommender system for the selective dissemination of research resources in a Technology Transfer Office
inferredcites →https://doi.org/10.1016/j.ins.2011.09.014openalex-snapshot
Collaborative filtering based on significances
inferredcites →https://doi.org/10.1016/j.ipm.2006.07.005openalex-snapshot
A probabilistic music recommender considering user opinions and audio features
inferredcites →https://doi.org/10.1016/j.ipm.2011.03.007openalex-snapshot
A collaborative filtering similarity measure based on singularities
inferredcites →https://doi.org/10.1016/j.knosys.2009.01.008openalex-snapshot
Collaborative filtering adapted to recommender systems of e-learning
inferredcites →https://doi.org/10.1016/j.knosys.2009.07.007openalex-snapshot
Dealing with incomplete information in a fuzzy linguistic recommender system to disseminate information in university digital libraries
inferredcites →https://doi.org/10.1016/j.knosys.2010.03.009openalex-snapshot
A new collaborative filtering metric that improves the behavior of recommender systems
inferredcites →https://doi.org/10.1016/j.knosys.2011.06.005openalex-snapshot
Improving collaborative filtering recommender system results and performance using genetic algorithms
inferredcites →https://doi.org/10.1016/j.knosys.2011.07.021openalex-snapshot
A collaborative filtering approach to mitigate the new user cold start problem
inferredcites →https://doi.org/10.1109/mis.2006.4openalex-snapshot
CinemaScreen Recommender Agent: Combining Collaborative and Content-Based Filtering
inferredcites →https://doi.org/10.1109/tkde.2005.99openalex-snapshot
Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
inferredcites →https://doi.org/10.1145/963770.963772openalex-snapshot
Evaluating collaborative filtering recommender systems
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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A Personalized Recommendation Approach Based on Content Similarity Calculation in Large-Scale Data
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Joyful Jaccard: An Analysis of Jaccard-Based Similarity Measures in Collaborative Recommendations
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A comparative analysis of similarity measures akin to the Jaccard index in collaborative recommendations: empirical and theoretical perspective
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A dynamic multi-level collaborative filtering method for improved recommendations
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Survey of similarity functions on neighborhood-based collaborative filtering
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CF4J 2.0: Adapting Collaborative Filtering for Java to new challenges of collaborative filtering based recommender systems
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A knowledge-enhanced contextual bandit approach for personalized recommendation in dynamic domains
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Project Similarity Measures for Collaborative Filtering-based Effort Estimation: Review and Empirical Study
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Recommendation to Groups of Users Using the Singularities Concept
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An Efficient Recommender System Method Based on the Numerical Relevances and the Non-Numerical Structures of the Ratings
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Hybrid Collaborative Filtering Based on Users Rating Behavior
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An Overview of Recommendation Techniques and Their Applications in Healthcare
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A Collaborative Filtering Algorithm of Selecting Neighbors Based on User Profiles and Target Item
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A Tag-based Recommendation Algorithm Integrating Short-term and Long-term Interests of Users
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Incorporating Group Recommendations to Recommender Systems: Alternatives and Performance
inferred← citeshttps://doi.org/10.20868/upm.thesis.54719openalex-snapshot
Towards reliability in collaborative filtering recommender systems
inferred← citeshttps://doi.org/10.20868/upm.thesis.58148openalex-snapshot
Recomendación a grupos de usuarios usando el concepto de singularidades
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Fusion of Internal Similarity to Improve the Accuracy of Recommendation Algorithm
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P3OI-MELSH: Privacy Protection Target Point of Interest Recommendation Algorithm Based on Multi-Exploring Locality Sensitive Hashing
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Improving the Prediction Quality in Memory-Based Collaborative Filtering Using Categorical Features
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Collaborative Filtering to Predict Sensor Array Values in Large IoT Networks
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Ensemble Divide and Conquer Approach to Solve the Rating Scores’ Deviation in Recommendation System
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Recommender Systems Based on Evolutionary Computing: A Survey
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A Review on Techniques of Recommendation System
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A New Similarity Measure Based on Gravitational Attraction for Improving the Accuracy of Collaborative Recommendations
inferred← citeshttps://doi.org/10.5815/ijitcs.2019.06.05openalex-snapshot
A New Similarity Measure Based on Simple Matching Coefficient for Improving the Accuracy of Collaborative Recommendations
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Accuracy Assessment of Similarity Measures in Collaborative Recommendations Using CF4J Framework
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A Collaborative Filtering Probabilistic Approach for Recommendation to Large Homogeneous and Automatically Detected Groups.
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