• Publications
  • Influence
Telling experts from spammers: expertise ranking in folksonomies
With a suitable algorithm for ranking the expertise of a user in a collaborative tagging system, we will be able to identify experts and discover useful and relevant resources through them. WeExpand
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  • Open Access
"Popularity Effect" in User-Generated Content: Evidence from Online Product Reviews
Online product reviews are increasingly important for consumer decisions, yet we still know little about how reviews are generated in the first place. In an effort to gather more reviews, manyExpand
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  • Open Access
Strength of social influence in trust networks in product review sites
Some popular product review sites such as Epinions allow users to establish a trust network among themselves, indicating who they trust in providing product reviews and ratings. While trust relationsExpand
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Creating Stories: Social Curation of Twitter Messages
Social media has become ubiquitous. Tweets and other user-generated content have become so abundant that better tools for information organization are needed in order to fully exploit their potentialExpand
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  • Open Access
Contextualising tags in collaborative tagging systems
Collaborative tagging systems are now popular tools for organising and sharing information on the Web. While collaborative tagging offers many advantages over the use of controlled vocabularies, theyExpand
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  • Open Access
Estimating document focus time
Temporality is an important characteristic of text documents. While some documents are clearly atemporal, many have temporal character and can be mapped to certain time periods. In this paper, weExpand
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  • Open Access
A Study of User Profile Generation from Folksonomies
Recommendation systems which aim at providing relevant information to users are becoming more and more important and desirable due to the enormous amount of information available on the Web. CrucialExpand
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  • Open Access
Extracting collective expectations about the future from large text collections
News articles often contain information about the future. Given the huge volume of information available nowadays, an automatic way for extracting and summarizing future-related information isExpand
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  • Open Access
A Formal Model of Ontology for Handling Fuzzy Membership and Typicality of Instances
Ontology has become increasingly important in facilitating information exchange, particularly in the context of the Semantic Web. Currently, most existing ontology models can only specify concepts asExpand
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Generic method for detecting focus time of documents
Statistical approach for estimating the focus time of text documents.Classification framework for categorizing documents into temporal and atemporal.Bi-Temporal Document Representation using documentExpand
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  • Open Access