Can social bookmarking improve web search?

By Paul Heymann, Georgia Koutrika, Hector Garcia-Molina. Web Search and Data Mining, 2008

527 citations recorded by the source corpus.

Subfields: Information Systems, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/d50653d3c0452a99edc3dda80daa3b4fec3c8deb

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In Information Systems

In Statistical and Nonlinear Physics

Citations in the corpus

Labeled LDA: A supervised topic model for credit attribution in multi-labeled corpora (2009, methodology): “To create a consistent dataset for experimenting with our model, we selected 20 tags of medium to high frequency from a collection of documents dataset crawled from del.icio.us , a popular social bookmarking website (Heymann et al., 2008).”
UserRec: A User Recommendation Framework in Social Tagging Systems (2010, background): “Several papers (Heymann, Koutrika, and Garcia-Molina 2008; Li, Guo, and Zhao 2008; Zhou et al. 2009) study the utility of tags, and ﬁnd that tags are good at characterizing users’ interests about Web contents and expressing concepts of resources.”
Learning similarity metrics for event identification in social media (2010, background): “Recent studies [21, 22] showed that social media document tags are accurate content descriptors, and could be used to train a social tagging prediction system.”
Social tag prediction (2008, background): “Heymann et al. [ 8 ] provides some initial answers to these questions, but does not address predictability directly, nor does it look specifically at anchor text.”
#TwitterSearch: a comparison of microblog search and web search (2011, background): “us might play in improving Web search result quality [12] and clustering [23], and the ability to identify high-quality, non-spam results to tag queries is an important area of research to pursue.”
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].”
Enhancing Navigation on Wikipedia with Social Tags (2012, background): “On the one hand, social tags suggest alternative navigation ways, including pivot-browsing, popularity-driven navigation, and filtering.”
Latent dirichlet allocation for tag recommendation (2009, background): “A large scale evaluation of Delicious regarding search is presented in [17].”
Semi-Supervised Multi-Label Learning with Incomplete Labels (2015, background): “In many applications training labels are obtained via crowd-sourcing, which typically leads to label incompleteness [Heymann et al., 2008].”