Exploring folksonomy for personalized search
By Shengliang Xu, Shenghua Bao, Ben Fei, Zhong Su, Yong Yu. Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008
326 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Information Systems
View Paper: https://www.semanticscholar.org/paper/58c9d4b860df5ace77f58306a850eb42659939e7
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
- Meredith Ringel Morris
- Jaime Teevan
- Hanie Sedghi
- Daniel Ramage
- Anima Anandkumar
- Martin Jaggi
- Kamyar Azizzadenesheli
- Peter Richtárik
In Information Systems
- Meredith Ringel Morris
- Jaime Teevan
- Daniel Ramage
- Anima Anandkumar
- Ryen W. White
- Susan T. Dumais
- Emre Kıcıman
Citations in the corpus
- Test Collection Based Evaluation of Information Retrieval Systems (2010, unknown): “[288].”
- #TwitterSearch: a comparison of microblog search and web search (2011, background): “It is possible to extract the queries issued to each engine from the URLs, and associate the queries with user IDs and timestamps.”
- Learning Mixed Membership Community Models in Social Tagging Networks through Tensor Methods (2015, background): “Online social tagging systems are growing rapidly and it is important to group the nodes (i.e. users, resources and tags) for scalable operations in a number of applications such as personalizedsearch (Xu et al., 2008), resource and friend recommendations (Konstas et al., 2009), and so on.”