User Modeling for Adaptive News Access

No abstract is available for this paper.

• Publication year

  2000

• Venue

  User modeling and user-adapted interaction

• Publication date

  2000-02-04

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1023/A:1026501525781
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Feature Based Modelling: A methodology for producing coherent, consistent, dynamically changing models of agents' competencies

  2005cited by this paper
• Using Decision Trees for Agent Modeling: Improving Prediction Performance

  2004cited by this paper
• Induction of decision trees

  2004cited by this paper
• A Multi-Agent System for Generating a Personalized Newspaper Digest

  2003cited by this paper
• Machine Learning for User Modeling

  2001cited by this paper
• An Evaluation of Statistical Approaches to Text Categorization

  1999cited by this paper
• A personal news agent that talks, learns and explains

  1999influential reference
• Combining Content-Based and Collaborative Filters in an Online Newspaper

  1999cited by this paper
• A hybrid user model for news story classification

  1999influential reference
• UM99 user modeling : proceedings of the Seventh International Conference, Banff, Canada, June 20-24, 1999

  1999cited by this paper
• Adaptive Information Filtering: Learning in the Presence of Concept Drifts

  1998cited by this paper
• Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms

  1998cited by this paper
• Topic Detection and Tracking Pilot Study Final Report

  1998cited by this paper
• Joins that Generalize: Text Classification Using WHIRL

  1998cited by this paper
• Learning to surf: multiagent systems for adaptive web page recommendation

  1998cited by this paper
• A comparison of event models for naive bayes text classification

  1998influential reference
• Topic Detection and Tracking Pilot Study Final Report

  1998cited by this paper
• Book Recommending Using Text Categorization with Extracted Information

  1998cited by this paper
• Learning Personal Preferences on Online Newspaper Articles from User Behaviors

  1997cited by this paper
• Comparative evaluation of alternative induction engines for Feature Based Modelling

  1997cited by this paper
• Learning and Revising User Profiles: The Identification of Interesting Web Sites

  1997influential reference
• User modeling : proceedings of the Sixth International Conference, UM97, Chialaguna, Sardinia, Italy, June 2-5 1997

  1997cited by this paper
• Learning in the Presence of Concept Drift and Hidden Contexts

  1996cited by this paper
• Letizia: An Agent That Assists Web Browsing

  1995cited by this paper
• NewsWeeder: Learning to Filter Netnews

  1995cited by this paper
• Social information filtering: algorithms for automating “word of mouth”

  1995cited by this paper
• A Sequential Algorithm for Training Text Classifiers

  1994cited by this paper
• A sequential algorithm for training text classifiers

  1994cited by this paper
• Automatic text processing

  1988cited by this paper
• Pattern classification and scene analysis

  1974cited by this paper
• Pattern classification and scene analysis

  1974cited by this paper
• Relevance feedback in information retrieval

  1971cited by this paper

• Radial Neighborhood Smoothing Recommender System

  2025cites this paper
• Enhancing E-Recruitment Recommendations Through Text Summarization Techniques

  2025cites this paper
• Shaping the Future of Content-based News Recommenders: Insights from Evaluating Feature-Specific Similarity Metrics

  2024influential citation
• GCZRec: Generative Collaborative Zero-Shot Framework for Cold Start News Recommendation

  2024cites this paper
• A Novel Deep Learning Approach Toward Efficient and Accurate Recommendation Using Improved Alternating Least Squares in Social Media

  2024cites this paper
• User-driven Relevant News Update System (U.R.A.N.U.S)

  2024cites this paper
• A Survey of Latent Factor Models in Recommender Systems

  2024cites this paper
• Modeling and supporting adaptive Complex Data-Intensive Web Systems via XML and the O-O paradigm: The OO-XAHM model

  2024cites this paper
• Examining the merits of feature-specific similarity functions in the news domain using human judgments

  2024cites this paper
• Bere: A Novel Video Recommender System for Virtual Reality Using Human Behavioral Signals

  2024cites this paper
• Social Network Data Enabling Smart Tourism

  2023cites this paper
• A new similarity measure to increase coverage of rating predictions for collaborative filtering

  2023cites this paper
• Variational Bayesian inference for bipartite mixed-membership stochastic block model with applications to collaborative filtering

  2023cites this paper
• The Good, the Bad, and the Unhirable: Recommending Job Applicants in Online Labor Markets

  2023cites this paper
• Group-Based Personalized News Recommendation with Long- and Short-Term Fine-Grained Matching

  2023cites this paper
• UsCoTc: Improved Collaborative Filtering (CFL) recommendation methodology using user confidence, time context with impact factors for performance enhancement

  2023cites this paper
• Recommender System using Reinforcement Learning: A Survey

  2022cites this paper
• Scalable Linear Shallow Autoencoder for Collaborative Filtering

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

  2022cites this paper
• Information Flow in Networked System with Leaderless Structure

  2022cites this paper
• Tourism recommendation system: a survey and future research directions

  2022influential citation
• Multi Clustering Recommendation System for Fashion Retail

  2022cites this paper
• Discriminate2Rec: Negation-based dynamic discriminative interest-based preference learning for semantics-aware content-based recommendation

  2022cites this paper
• An empirical study of personalized advertising recommendation based on DBSCAN clustering of sina weibo user-generated content

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

  2021cites this paper
• Personalized Entity Resolution with Dynamic Heterogeneous KnowledgeGraph Representations

  2021cites this paper
• A flexible framework for evaluating user and item fairness in recommender systems

  2021cites this paper
• Overview of the Main Recommendation Approaches for the Scientific Articles

  2021cites this paper
• Who Likes What Kind of News? The Relationship Between Characteristics of Media Consumers and News Interest

  2021cites this paper
• Personalized News Recommendation: Methods and Challenges

  2021cites this paper
• Mass Media Deploying Digital Personalization: An Empirical Investigation

  2021cites this paper
• Trust your neighbors: A comprehensive survey of neighborhood-based methods for recommender systems

  2021cites this paper
• Personalized News Recommendation: A Survey

  2021cites this paper
• Predicting Feature-based Similarity in the News Domain Using Human Judgments

  2021cites this paper
• EntityBot: Supporting Everyday Digital Tasks with Entity Recommendations

  2021cites this paper
• Fashion Retail Recommendation System by Multiple Clustering

  2021cites this paper
• BanditMF: Multi-Armed Bandit Based Matrix Factorization Recommender System

  2021cites this paper
• A Personalized Academic Advisory Recommender System (PAARS): A Case Study

  2021cites this paper
• Semi-Automated Identification of News Story Chains: A New Dataset and Entity-based Labeling Method

  2021cites this paper
• Investigating Health-Aware Smart-Nudging with Machine Learning to Help People Pursue Healthier Eating-Habits

  2021cites this paper
• Improving Recommender Systems by Using Time-Weighted Sentiment Analysis

  2021cites this paper
• Designing Robust Models for Behaviour Prediction Using Sparse Data from Mobile Sensing

  2021cites this paper
• Tweet recommender model using adaptive neuro-fuzzy inference system

  2020cites this paper
• Efficient and Scalable Job Recommender System Using Collaborative Filtering

  2020cites this paper
• Recommendation Based on Attention Degree and Entropy

  2020cites this paper
• Addressing the New Item problem in video recommender systems by incorporation of visual features with restricted Boltzmann machines

  2020cites this paper
• Urban Intelligence and Applications: Second International Conference, ICUIA 2020, Taiyuan, China, August 14–16, 2020, Revised Selected Papers

  2020cites this paper
• ENHANCEMENT OF USER PROFILING FOR TOURISM RECOMMENDATION SYSTEM

  2020cites this paper
• Towards Cognitive Recommender Systems

  2020cites this paper
• Content‐Based Recommender Systems

  2020cites this paper
• Dynamic Weighted Hybrid Recommender Systems

  2020cites this paper
• A Parallel Recommender System Using a Collaborative Filtering Algorithm with Correntropy for Social Networks

  2020cites this paper
• Automated Product Recommendations with Preference-Based Explanations

  2020cites this paper
• Consumer Attitudes toward News Delivering: An Experimental Evaluation of the Use and Efficacy of Personalized Recommendations

  2020cites this paper
• Providing effective recommendations in discussion groups using a new hybrid recommender system based on implicit ratings and semantic similarity

  2020cites this paper
• Scalable Collaborative Ranking for Personalized Prediction

  2020cites this paper
• Wasserstein Collaborative Filtering for Item Cold-start Recommendation

  2020cites this paper
• Decentralized Collaborative Filtering Algorithms Based on Complex Network Modeling and Degree Centrality

  2020cites this paper
• A comparative analysis of similarity measures akin to the Jaccard index in collaborative recommendations: empirical and theoretical perspective

  2020cites this paper
• Pitako - Recommending Game Design Elements in Cicero

  2019cites this paper
• Measuring the diversity of recommendations: a preference-aware approach for evaluating and adjusting diversity

  2019cites this paper
• Evolution of recommender system over the time

  2019cites this paper
• Latest Trends in Recommender Systems 2017

  2019cites this paper
• Personality-based recommendation: human curiosity applied to recommendation systems using implicit information from social networks

  2019cites this paper
• Accuracy Assessment of Similarity Measures in Collaborative Recommendations Using CF4J Framework

  2019cites this paper
• Challenges and Opportunities of Using Recommendation Systems in Academic Digital Libraries

  2019cites this paper
• Smooth neighborhood recommender systems

  2019cites this paper
• Exploring the Power of Visual Features for the Recommendation of Movies

  2019cites this paper
• A novel recommendation system via L0-regularized convex optimization

  2019cites this paper
• Cluster Developing 1-Bit Matrix Completion

  2019cites this paper
• Personalized Recommender by Exploiting Domain based Expert for Enhancing Collaborative Filtering Algorithm :PReC

  2019cites this paper
• Mobile app recommendation

  2019cites this paper
• Enriched Network Embeddings for News Recommendation

  2019cites this paper
• Title An efficient hybrid music recommender system using anincrementally trainable probabilistic generative model

  2019cites this paper
• Exploring the Power of Visual Features for Recommendation of Movies

  2019cites this paper
• Recommendation Systems for Tourism Based on Social Networks: A Survey

  2019cites this paper
• Towards understandable personalized recommendations: Hybrid explanations

  2019cites this paper
• Twittener: An Aggregated News Platform

  2019cites this paper
• Using Opinion Mining in Context-Aware Recommender Systems: A Systematic Review

  2019cites this paper
• Signed Distance-based Deep Memory Recommender

  2019cites this paper
• Predicting stock market trends using machine learning algorithms via public sentiment and political situation analysis

  2019cites this paper
• Computational Psychology to Embed Emotions into News or Advertisements to Increase Reader Affinity

  2019cites this paper
• The recommender canvas: A model for developing and documenting recommender system design

  2019cites this paper
• Multi-criteria Recommendation Based on Trust

  2019cites this paper
• Evolution of recommender paradigm optimization over time

  2019cites this paper
• A Framework for Interaction-driven User Modeling of Mobile News Reading Behaviour

  2018cites this paper
• SUM-IML: Dynamic Scrutable User Modeling utilizing Interactive Machine Learning

  2018cites this paper
• User's Privacy in Recommendation Systems Applying Online Social Network Data, A Survey and Taxonomy

  2018cites this paper
• The importance of being dissimilar in recommendation

  2018cites this paper
• New Insights Towards Developing Recommender Systems

  2018cites this paper
• Exploratory News Recommendation

  2018cites this paper
• Learning Dynamics of Decision Boundaries without Additional Labeled Data

  2018cites this paper
• Identifying and recommending user-interested attributes with values

  2018cites this paper
• A Collection of Classical Collaborative Filtering Methods for Recommender Systems

  2018cites this paper
• A Tag-Based Personalized News Recommendation Method

  2018cites this paper
• Modéliser la diversité au cours du temps pour comprendre le contexte de l'utilisateur dans les systèmes de recommandation. (Modeling diversity over time to understand user context in recommender systems)

  2018cites this paper
• Towards reliability in collaborative filtering recommender systems

  2018cites this paper
• Personalized Recommendation Systems (PRES): A Comprehensive Study and Research Issues

  2018cites this paper
• Configuration of Industrial Automation Solutions Using Multi-relational Recommender Systems

  2018cites this paper
• Research on Personalized Book Recommendation Model for New Readers

  2018cites this paper