Machine Learning for User Modeling
By Geoffrey I. Webb, Michael J. Pazzani, Daniel Billsus. User modeling and user-adapted interaction, 2001
415 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/e45ead3629cdda9ab60a28b6040623ea84fc1a31
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Michael J. Pazzani
- Ilhami Colak
- Daniel Billsus
- Lynda Tamine
- Dimitrios Pierrakos
- Constantine D. Spyropoulos
- Ş. Sağiroğlu
- Hamdi Tolga Kahraman
In Management Science and Operations Research
Citations in the corpus
- An ontology-based interface for machine learning (2005, neutral): “Keywords Machine Learning, User Modeling, Transparency.”
- The development of intuitive knowledge classifier and the modeling of domain dependent data (2013, background): “The major drawbacks of these methods are the lack of data [11,12] and strongly applicationdependency and lack of classification accuracy [11,13].”
- Web Usage Mining as a Tool for Personalization: A Survey (2003, methodology): “Key words. data mining, machine learning, personalization, user modeling, web usage mining”
- Evaluation of contextual information retrieval effectiveness: overview of issues and research (2010, background): “…from the user’s retrieval environment constitutes a rich repository managed in [75] by algorithms of data mining [119] or machine learning [116] strategies in order to learn the user profiles seen as user’s background information like topics of interest, familiarity with the query topic,…”
- Predictive Statistical Models for User Modeling (2001, neutral): “Additional challenges posed to machine learning by user modeling applications are discussed in (Webb et al., 2000).”
- User Modeling for Adaptive News Access (2000, background): “The number of recent workshops on the subject (Bauer et al. 1999; Joachims et al. 1999; Rudstrom et al. 1999; Papatheodorou 1999), and sessions in major conferences (Jameson et al.”
- Use of Machine-Learning Approaches to Predict Clinical Deterioration in Critically Ill Patients: A Systematic Review (2017, background): “However, the basic approach of data collection and management has remained largely unchanged over the past 40 years [6].”