A Framework for the Evaluation of Session Reconstruction Heuristics in Web-Usage Analysis
By Myra Spiliopoulou, Bamshad Mobasher, Bettina Berendt, Miki Nakagawa. INFORMS journal on computing, 2003
374 citations recorded by the source corpus.
Subfields: Information Systems
View Paper: https://www.semanticscholar.org/paper/135759f3f78b76f15213ac6e0f8cfe08cb73c897
How researchers see this paper
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In Information Systems
- Gediminas Adomavicius
- Alexander Tuzhilin
- Bamshad Mobasher
- Kristina Lerman
- Lada A. Adamic
- Farshad Kooti
- Karthik Subbian
- Ramesh Sankaranarayanan
Citations in the corpus
- Data Mining for Web Personalization (2007, background): “A formal framework for measuring the effectiveness of such heuristics has been proposed [129], and the impact of different heuristics on various Web usage mining tasks has been analyzed in [12].”
- Understanding Short-term Changes in Online Activity Sessions (2017, background): “In different studies sessions could refer to a set of actions to satisfy a single information need [4, 11], or more commonly, a period of time that includes consecutive actions without a long break [24, 7].”
- Understanding the Long-Term Use of Smart Speaker Assistants (2018, methodology): “We applied a standard 10-minute idle time session boundary [13-15, 23 ] to segment the data Turning to the content of the sessions, almost half (48”
- Incorporating contextual information in recommender systems using a multidimensional approach (2005, background): “TimeOfWeek = weekend ), sets of popular sequences (e.g. sequences of Web browsing activities [Mobasher et al. 2002, Spiliopoulou et al. 2003], such as when Jim visits the book Web site XYZ, he usually .rst accesses the home page, then goes to the Home&Gardening section of the site, then…”