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Collaborative Filtering Recommendation Algorithm Based on TF-IDF and User Characteristics

https://doi.org/10.3390/app11209554

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Item-Based Collaborative Filtering with Attribute Correlation: A Case Study on Movie Recommendation

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A collaborative filtering recommendation algorithm based on information theory and bi-clustering

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Multimodal data fusion framework based on autoencoders for top-N recommender systems

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Gauss-core extension dependent prediction algorithm for collaborative filtering recommendation

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TSCMF: Temporal and social collective matrix factorization model for recommender systems

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Presentation of a recommender system with ensemble learning and graph embedding: a case on MovieLens

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An improved collaborative recommendation algorithm based on optimized user similarity

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A collaborative filtering recommendation system with dynamic time decay

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Dynamic clustering collaborative filtering recommendation algorithm based on double-layer network

inferredcites →https://doi.org/10.1016/j.elerap.2019.100879openalex-snapshot

Research commentary on recommendations with side information: A survey and research directions

inferredcites →https://doi.org/10.1016/j.eswa.2004.08.013openalex-snapshot

A hybrid collaborative filtering method for multiple-interests and multiple-content recommendation in E-Commerce

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A collaborative filtering recommender system using genetic algorithm

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Recommender systems for smart cities

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A Novel K-medoids clustering recommendation algorithm based on probability distribution for collaborative filtering

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Collaborative Filtering Recommendation Algorithm Based on User Characteristics and User Interests

inferredcites →https://doi.org/10.1093/ije/dys210openalex-snapshot

Data Resource Profile: The World Health Organization Study on global AGEing and adult health (SAGE)

inferredcites →https://doi.org/10.1109/access.2017.2669243openalex-snapshot

Dynamic Model Adaptive to User Interest Drift Based on Cluster and Nearest Neighbors

inferredcites →https://doi.org/10.1109/access.2020.2964711openalex-snapshot

Mobile Edge Cache Strategy Based on Neural Collaborative Filtering

inferredcites →https://doi.org/10.1109/bigcomp.2014.6741414openalex-snapshot

Fast Collaborative Filtering with a k-nearest neighbor graph

inferredcites →https://doi.org/10.1109/cc.2015.7385528openalex-snapshot

Time-ordered collaborative filtering for news recommendation

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An Effective Model-Based Trust Collaborative Filtering for Explainable Recommendations

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A Similarity Calculating Approach Simulated from TF-IDF in Collaborative Filtering Recommendation

inferredcites →https://doi.org/10.1109/sice.2002.1195415openalex-snapshot

An implementation of a knowledge recommendation system based on similarity among users' profiles

inferredcites →https://doi.org/10.1109/tii.2019.2958696openalex-snapshot

Trust-Enhanced Collaborative Filtering for Personalized Point of Interests Recommendation

inferredcites →https://doi.org/10.1109/tkde.2010.86openalex-snapshot

Collaborative Filtering with Personalized Skylines

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Typicality‐based collaborative filtering for book recommendation

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An Improved Collaborative Filtering Recommendation Algorithm and Recommendation Strategy

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Service Recommendation with High Accuracy and Diversity

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Collaborative Filtering Recommendation Algorithm for MOOC Resources Based on Deep Learning

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Collaborative Filtering Based on Multi-level Item Category System

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Social Popularity based SVD++ Recommender System

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Recommendation Systems: Models, Techniques, Application Fields and Ethical Challenges

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Ae-CB: Autoencoder-Enhanced Content-Based Recommender Systems for Cold-Start and Sparse Environments

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Multidimensional Vector Ranking Algorithm for the Group Recommendation System

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PhishCatcher: A Machine Learning Approach for Preventing Web Spoofing Attacks

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A BERT Based Hybrid Recommendation System For Academic Collaboration

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EQFF: An Efficient Query Method Using Feature Fingerprints

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Collaborative Filtering Recommendation Algorithm Based on Knowledge Graph Representation Learning

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Digital Transformation as a Catalyst for Resilience in Stock Price Crisis: Evidence from A ‘New Quality Productivity’ Perspective

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Structure-aware scientific paper recommendation via QA-style summarization and multi-level representation alignment

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Book recommendation system using TF-IDF and cosine similarity

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TN-MR: topic-aware neural network-based mobile application recommendation

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PhishCatcher: Client-Side Defense Against Web Spoofing Attacks Using Machine Learning

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Hybrid Movie Recommendation System With User Partitioning and Log Likelihood Content Comparison

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SURE: Session-Based Uninteresting Item Removal for Enhanced Recommendations

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Study on the Method and System of Rural Tourism Recommendation based on Seasonal Characteristics and Location Characteristics Under AHP Algorithm

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Everyday Portal: An E-Commerce Platform for Everyday Streetwear Fashion with Customer Analysis Using Hybrid Collaborative Filtering

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Research on Movie Recommendation Algorithm based on Deep Learning

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Next-Basket Recommendation Using TF-IDF and SASRec with Adaptive Weighting

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Dynamic Cloud-based Search Engine: Puppeteer-Driven Crawler with TF-IDF for Accurate Ranking of Search Results

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Hybrid Movie Recommendation System with Content-Based and Memory-Based Collaborative Filtering Using Similarity Graph

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WEB SPOOFING DEFENSE EMPOWERING USERS WITH PHISHCATCHER'S MACHINE LEARNING

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Adaptive KNN-Based Extended Collaborative Filtering Recommendation Services

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Collaborative Filtering-Based Recommendation Systems for Touristic Businesses, Attractions, and Destinations

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“Song of Life”: A Comprehensive Evaluation of Biographical Music Therapy in Palliative Care by the EMW-TOPSIS Method

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RARE: right algorithm for the right errand; a multi-model machine learning-based approach for tourism routes and spots recommendation

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