Personalized Web search for improving retrieval effectiveness
By Fang Liu, Clement T. Yu, Weiyi Meng. IEEE Transactions on Knowledge and Data Engineering, 2004
476 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems
View Paper: https://www.semanticscholar.org/paper/a8fddfd24c43f3c267d6a804af2765f4116de619
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
- Bamshad Mobasher
- Mohand Boughanem
- Lynda Tamine
- Mariam Daoud
- Alan Mislove
- Robin D. Burke
- Balachander Krishnamurthy
- Susan Gauch
In Computer Vision and Pattern Recognition
- Bamshad Mobasher
- Alan Mislove
- Lynda Tamine
- Robin D. Burke
- Susan Gauch
- Peter Dolan
- Jiahui Liu
- Alessandro Micarelli
In Information Systems
- Bamshad Mobasher
- Lynda Tamine
- Mariam Daoud
- Mohand Boughanem
- Robin D. Burke
- Alan Mislove
- Christo Wilson
- Balachander Krishnamurthy
Citations in the corpus
- Personalized news recommendation based on click behavior (2010, methodology): “This technique has been applied in various domains, such as email [16], news [4, 5, 20], and web search [15, 18].”
- Measuring personalization of web search (2013, background): “In fact, the bene ts of such personalized rankings has been extensively studied in the research literature [15, 17, 30, 50].”
- User Profiles for Personalized Information Access (2007, background): “Because search is one of the most common activities performed today, many projects are now focusing on personalized Web search [46, 88, 92] and more details on the subject can be found in Chapter 6 of this book [52].”
- Web search personalization with ontological user profiles (2007, methodology): “[17] utilize the first three levels of the ODP for learning profiles as bags of words associated with each category.”
- Evaluation of contextual information retrieval effectiveness: overview of issues and research (2010, methodology): “User studies have been widely undertaken this last decade for the evaluation of contextual IR [68,70,100].”