Evaluation of Item-Based Top-N Recommendation Algorithms

No abstract is available for this paper.

• Publication year

  2001

• Venue

  International Conference on Information and Knowledge Management

• Publication date

  2001-10-05

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1145/502585.502627
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Recommender Systems

  2021cited by this paper
• Analysis of recommendation algorithms for e-commerce

  2000cited by this paper
• Discovery of Aggregate Usage Profiles for Web Personalization

  2000cited by this paper
• Agglomerative clustering of a search engine query log

  2000cited by this paper
• Application of Dimensionality Reduction in Recommender System - A Case Study

  2000cited by this paper
• Cross-sell: a fast promotion-tunable customer-item recommendation method based on conditionally independent probabilities

  2000cited by this paper
• Combining Collaborative Filtering with Personal Agents for Better Recommendations

  1999cited by this paper
• Horting hatches an egg: a new graph-theoretic approach to collaborative filtering

  1999cited by this paper
• A Non-Invasive Learning Approach to Building Web User Profiles

  1999cited by this paper
• Recommendation as Classification: Using Social and Content-Based Information in Recommendation

  1998cited by this paper
• Learning Collaborative Information Filters

  1998cited by this paper
• Empirical Analysis of Predictive Algorithms for Collaborative Filtering

  1998cited by this paper
• Clustering Methods for Collaborative Filtering

  1998cited by this paper
• GroupLens: applying collaborative filtering to Usenet news

  1997influential reference
• Fab: content-based, collaborative recommendation

  1997cited by this paper
• PHOAKS: a system for sharing recommendations

  1997cited by this paper
• Social information filtering: algorithms for automating “word of mouth”

  1995cited by this paper
• Recommending and evaluating choices in a virtual community of use

  1995cited by this paper
• An open architecture for collaborative filtering of netnews

  1994cited by this paper
• Automatic Text Processing: The Transformation, Analysis, and Retrieval of Information by Computer

  1989cited by this paper

• DCE-MBR: Multi-Behavior Recommendation via Hierarchical Denoising and Cascade Enhancement

  2026cites this paper
• AlphaFree: Recommendation Free from Users, IDs, and GNNs

  2026cites this paper
• LLM4Rec: A Comprehensive Survey on the Integration of Large Language Models in Recommender Systems - Approaches, Applications and Challenges

  2025cites this paper
• DALLRec: an effective data augmentation framework with fine-tuning large language model for recommendation

  2025cites this paper
• User Long-Term Multi-Interest Retrieval Model for Recommendation

  2025cites this paper
• Continuous-Time Multi-Order Graph Learning for Passenger Travel Behavior Prediction

  2025cites this paper
• Popularity Bias in Recommender Systems: The Search for Fairness in the Long Tail

  2025cites this paper
• Mining Discriminative Issue Resolution Temporal Sequential Patterns in Open Source Software Repositories

  2025cites this paper
• From Menus to the Interactive Food-Ordering Systems

  2025cites this paper
• Time and content aware implicit social influence estimation to enhancetrust-based recommender systems

  2025cites this paper
• User Invariant Preference Learning for Multi-Behavior Recommendation

  2025cites this paper
• Preference-Aware Intent Fusion in Multi-Behavior Recommendation

  2025cites this paper
• Graph Contrastive Learning for Multibehavior Recommendation

  2025cites this paper
• BiCoRec: Bias-Mitigated Context-Aware Sequential Recommendation Model

  2025cites this paper
• Human-Centred Machine Learning Approaches for Smart Cultural Heritage Spaces: A Multicontinental Review

  2024cites this paper
• A Hybrid Recommendation System using Collaborative Filtering with Apache Spark in E-Commerce

  2024cites this paper
• A Comprehensive Survey on Retrieval Methods in Recommender Systems

  2024cites this paper
• Graphical contrastive learning for multi-interest sequential recommendation

  2024cites this paper
• Behavior-Contextualized Item Preference Modeling for Multi-Behavior Recommendation

  2024cites this paper
• Harm Mitigation in Recommender Systems under User Preference Dynamics

  2024cites this paper
• Review-based Recommender Systems: A Survey of Approaches, Challenges and Future Perspectives

  2024cites this paper
• Hierarchical representation learning for next basket recommendation

  2024cites this paper
• Neighborhood contrastive learning-based graph neural network for bug triaging

  2024cites this paper
• Uncovering the Interaction Equation: Quantifying the Effect of User Interactions on Social Media Homepage Recommendations

  2024cites this paper
• Modeling Long- and Short-Term Project Relationships for Project Management Systems

  2024cites this paper
• Efficient and accurate personalized product recommendations through frequent item set mining fusion algorithm

  2024cites this paper
• Revolutionising E-commerce: Personalised Recommendations for Enhancing User Engagement

  2024cites this paper
• Dynamic Graph Representation Learning for Passenger Behavior Prediction

  2024cites this paper
• Integrating Social Relationships and Personality into MAS-Based Group Recommendations

  2024cites this paper
• Research on the Application of Personalized Recommendation Algorithm Based on Big Data Analysis in Digital Marketing

  2024cites this paper
• ROME: A Graph Contrastive Multi-View Framework From Hyperbolic Angular Space for MOOCs Recommendation

  2023cites this paper
• An anatomization of research paper recommender system: Overview, approaches and challenges

  2023cites this paper
• ResumAI: Revolutionizing Automated Resume Analysis and Recommendation with Multi-Model Intelligence

  2023cites this paper
• Developing Algorithms for Personalized Recommendations Based on User Behavior

  2023cites this paper
• Dual-scale Contrastive Learning for multi-behavior recommendation

  2023cites this paper
• CorrEmbed: Evaluating Pre-trained Model Image Similarity Efficacy with a Novel Metric

  2023cites this paper
• MB-HGCN: A Hierarchical Graph Convolutional Network for Multi-behavior Recommendation

  2023cites this paper
• A Competition-Aware Approach to Accurate TV Show Recommendation

  2023cites this paper
• Dual-view co-contrastive learning for multi-behavior recommendation

  2023cites this paper
• Enhancing Recommendation Capabilities Using Multi-Head Attention-Based Federated Knowledge Distillation

  2023cites this paper
• NAH: neighbor-aware attention-based heterogeneous relation network model in E-commerce recommendation

  2023influential citation
• Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation

  2023influential citation
• RecipeMate: A Food Media Recommendation System Based on Regional Raw Ingredients

  2023cites this paper
• Building Effective Recommender Systems for Tourists

  2022cites this paper
• An Enhanced Gated Graph Neural Network for E-commerce Recommendation

  2022cites this paper
• Enhanced Attention Framework for Multi-Interest Sequential Recommendation

  2022cites this paper
• Prototypical Contrastive Learning and Adaptive Interest Selection for Candidate Generation in Recommendations

  2022cites this paper
• Point of Interest (POI) Recommendation System using Implicit Feedback Based on K-Means+ Clustering and User-Based Collaborative Filtering

  2022cites this paper
• Système de recommandation avec prise en compte de la prévision de disponibilité des catégories de produits

  2022cites this paper
• UDM: A Unified Deep Matching Framework in Recommender Systems

  2022cites this paper
• ACP based reinforcement learning for long-term recommender system

  2022cites this paper
• Top-k team synergy problem: Capturing team synergy based on C3

  2022cites this paper
• Session-Recommendation Based on Gated Neural Network to Extract Item Structure Feature Graph

  2022cites this paper
• A Biased Sampling Method for Imbalanced Personalized Ranking

  2022cites this paper
• Generating A New Shilling Attack for Recommendation Systems

  2022cites this paper
• Bayesian feature interaction selection for factorization machines

  2022cites this paper
• An Ontological Hybrid Recommender System for Dealing with Cold Start Problem

  2022cites this paper
• Enhancing the scalability of distance-based link prediction algorithms in recommender systems through similarity selection

  2022cites this paper
• Exploring user movie interest space: A deep learning based dynamic recommendation model

  2021cites this paper
• An Algorithm for Recommending Groceries Based on an Item Ranking Method

  2021cites this paper
• IMPLEMENTATION OF A HYBRID METHOD OF SEARCHING FOR CLOSE OBJECTS, TAKING INTO ACCOUNT THE GENERAL AND ACOUSTIC CHARACTERISTICS

  2021cites this paper
• A Markov Chain Position Prediction Model Based on Multidimensional Correction

  2021cites this paper
• Deep Variational Autoencoder with Shallow Parallel Path for Top-N Recommendation (VASP)

  2021cites this paper
• A Hybrid Recommender System Using KNN and Clustering

  2021cites this paper
• Accuracy-diversity trade-off in recommender systems via graph convolutions

  2021cites this paper
• A S IMPLE AND D EBIASED S AMPLING M ETHOD FOR P ERSONALIZED R ANKING

  2021cites this paper
• Optimized recommendations by user profiling using apriori algorithm

  2021cites this paper
• Context-Dependent Propagating-Based Video Recommendation in Multimodal Heterogeneous Information Networks

  2021influential citation
• Product Recommendation Using Emerging Technology

  2021cites this paper
• A probabilistic perspective on nearest neighbor for implicit recommendation

  2021cites this paper
• Enhancing Recommendation Diversity Using Determinantal Point Process Forward Inference and Backward Elimination

  2021cites this paper
• "How to get consensus with neighbors?": Rating standardization for accurate collaborative filtering

  2021cites this paper
• Emotion Distribution Profile for Movies Recommender Systems

  2021cites this paper
• Genetic Algorithm Influenced Top-N Recommender System to Alleviate New User Cold Start Problem

  2021cites this paper
• Time-Dependent Item Embeddings for Collaborative Filtering

  2021cites this paper
• Research on Poverty Alleviation in China Based on Big Data in the Context of COVID-19

  2021cites this paper
• Challenges for Recommender Systems Evaluation

  2021cites this paper
• An Intention Mining Approach using Ontology for Contextual Recommendations

  2021cites this paper
• ARGO: Modeling Heterogeneity in E-commerce Recommendation

  2021cites this paper
• Graph-based Multimodal Ranking Models for Multimodal Summarization

  2021cites this paper
• Using Academic Genealogy for Recommending Supervisors

  2021cites this paper
• A Comprehensive Review on Non-Neural Networks Collaborative Filtering Recommendation Systems

  2021influential citation
• Comparison of online and offline evaluation metrics in Recommender Systems

  2021cites this paper
• Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation

  2021cites this paper
• Membership Inference Attacks Against Recommender Systems

  2021cites this paper
• Machine Learning Techniques for Recommender Systems – A Comparative Case Analysis

  2021cites this paper
• Inductive Representation Based Graph Convolution Network for Collaborative Filtering

  2021cites this paper
• Weighted Slope One with Threshold Filtering

  2020cites this paper
• Systematic Review on Recommendation Systems

  2020cites this paper
• A rule-based automated machine learning approach in the evaluation of recommender engine

  2020cites this paper
• Survey on Recommender System Using Deep Learning Networks

  2020cites this paper
• Research and design of recommendation in book circle system

  2020cites this paper
• Enhancing recommendation accuracy of item-based collaborative filtering using Bhattacharyya coefficient and most similar item

  2020cites this paper
• Collaborative Filtering-Based Film Recommendation Technique Utilizing Time and Film Genres

  2020cites this paper
• Large Scale Product Graph Construction for Recommendation in E-commerce

  2020cites this paper
• Addressing Class-Imbalance Problem in Personalized Ranking

  2020cites this paper
• Controllable Multi-Interest Framework for Recommendation

  2020cites this paper
• Research on Mobile Marketing Recommendation Method Incorporating Layout Aesthetic Preference for Sustainable m-Commerce

  2020influential citation
• Advances in Practical Applications of Agents, Multi-Agent Systems, and Trustworthiness. The PAAMS Collection: 18th International Conference, PAAMS 2020, L'Aquila, Italy, October 7–9, 2020, Proceedings

  2020cites this paper
• Dynamic Connection-Based Social Group Recommendation

  2020cites this paper