Data Mining for Web Personalization

By Bamshad Mobasher. The Adaptive Web, 2007

381 citations recorded by the source corpus.

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Automatic Recommendations for E-Learning Personalization Based on Web Usage Mining Techniques and Information Retrieval (2008, background): “com in commercial systems [7], and smart recommenders in elearning [12], etc.”
User Profiles for Personalized Information Access (2007, background): “Web usage mining can also be used to identify users, and these approaches are covered in more detail in Chapter 3 of this book [59].”
A probabilistic model to resolve diversity–accuracy challenge of recommendation systems (2015, background): “Such models have many applications in analyzing users’ behavior [7,19,21,26].”
User Models for Adaptive Hypermedia and Adaptive Educational Systems (2007, neutral): “Chapter 3 [135] reviews Data Mining approach to user profile constructions.”
Evaluation of contextual information retrieval effectiveness: overview of issues and research (2010, background): “The amount of information extracted 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,…”
Collaborative Filtering Recommender Systems (2007, background): “For more information, refer to Chapter 3 of this book [44].”