Optimizing web search using social annotations
By Shenghua Bao, Gui-Rong Xue, Xiaoyuan Wu, Yong Yu, Ben Fei, Zhong Su. The Web Conference, 2007
649 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Information Systems
View Paper: https://www.semanticscholar.org/paper/9b1dbdec8156152facd30ba90738dace734333be
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
In Information Systems
- Bamshad Mobasher
- Robin D. Burke
- Sophie Ahrens
- Filippo Menczer
- Péter Fankhauser
- Ciro Cattuto
- Gerd Stumme
- Wolfgang Nejdl
Citations in the corpus
- Latent dirichlet allocation for tag recommendation (2009, background): “Tags have been proven to be very useful for search: in case of image search where content based features are very difficult to extract [12], in case of enterprise search where not enough link information is available [13], or in case of web search to optimize results [3].”
- Evaluating similarity measures for emergent semantics of social tagging (2009, background): “Examples include studies to compare the content of social networks with search engines [37, 20] and enhancing search through the use of tags and rankings from social bookmarking systems [45, 33, 2].”
- Personalized recommendation in social tagging systems using hierarchical clustering (2008, methodology): “In [1], ranking of web search was optimized using social annotations by taking in account the similarity of the query to the resources in del.”