NDLI: Folks in Folksonomies: social link prediction from shared metadata

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Leveraging temporal dynamics of document content in relevance ranking

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Coupled semi-supervised learning for information extraction

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Large scale query log analysis of re-finding

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A novel click model and its applications to online advertising

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SBotMiner: large scale search bot detection

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Precomputing search features for fast and accurate query classification

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IntervalRank: isotonic regression with listwise and pairwise constraints

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Early online identification of attention gathering items in social media

Adaptive weighing designs for keyword value computation

Learning URL patterns for webpage de-duplication

Gathering and ranking photos of named entities with high precision, high recall, and diversity

Ranking mechanisms in twitter-like forums

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Data-oriented content query system: searching for data into text on the web

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Inferring search behaviors using partially observable Markov (POM) model

TwitterRank: finding topic-sensitive influential twitterers

Evolution of two-sided markets

Automatic generation of bid phrases for online advertising

On compressing the textual web

Boilerplate detection using shallow text features

Learning concept importance using a weighted dependence model

Pairwise interaction tensor factorization for personalized tag recommendation

Corroborating information from disagreeing views

Improving quality of training data for learning to rank using click-through data

Beyond DCG: user behavior as a predictor of a successful search

Folks in Folksonomies: social link prediction from shared metadata

Personalized click prediction in sponsored search

A sketch-based distance oracle for web-scale graphs

Query reformulation using anchor text

fLDA: matrix factorization through latent dirichlet allocation

A model to estimate intrinsic document relevance from the clickthrough logs of a web search engine

Measuring the reusability of test collections

GeoFolk: latent spatial semantics in web 2.0 social media

Improving ad relevance in sponsored search

Early exit optimizations for additive machine learned ranking systems

Folks in Folksonomies: social link prediction from shared metadata

Content Provider	ACM Digital Library
Author	Markines, Benjamin Menczer, Filippo Barrat, Alain Cattuto, Ciro Schifanella, Rossano
Abstract	Web 2.0 applications have attracted a considerable amount of attention because their open-ended nature allows users to create lightweight semantic scaffolding to organize and share content. To date, the interplay of the social and semantic components of social media has been only partially explored. Here we focus on Flickr and Last.fm, two social media systems in which we can relate the tagging activity of the users with an explicit representation of their social network. We show that a substantial level of local lexical and topical alignment is observable among users who lie close to each other in the social network. We introduce a null model that preserves user activity while removing local correlations, allowing us to disentangle the actual local alignment between users from statistical effects due to the assortative mixing of user activity and centrality in the social network. This analysis suggests that users with similar topical interests are more likely to be friends, and therefore semantic similarity measures among users based solely on their annotation metadata should be predictive of social links. We test this hypothesis on the Last.fm data set, confirming that the social network constructed from semantic similarity captures actual friendship more accurately than Last.fm's suggestions based on listening patterns.
Starting Page	271
Ending Page	280
Page Count	10
File Format	PDF
ISBN	9781605588896
DOI	10.1145/1718487.1718521
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2010-02-04
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Link prediction Social semantic similarity Web 2.0 Social media Social network Collaborative tagging Folksonomies Lexical and topical alignment Maximum information path
Content Type	Text
Resource Type	Article

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2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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