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Collaborative tagging describes the process by which many users add metadata in the form of keywords to shared content. Recently, collaborative tagging has grown in popularity on the web, on sites that allow users to tag bookmarks,…

Digital Libraries · Computer Science 2007-05-23 Scott Golder , Bernardo A. Huberman

Collaborative tagging has emerged as a popular and effective method for organizing and describing pages on the Web. We present Treelicious, a system that allows hierarchical navigation of tagged web pages. Our system enriches the…

Information Retrieval · Computer Science 2015-03-18 Matt Mullins , Perry Fizzano

Online user profiling is a very active research field, catalyzing great interest by both scientists and practitioners. In this paper, in particular, we look at approaches able to mine social media activities of users to create a rich user…

Information Retrieval · Computer Science 2018-09-27 Christian Torrero , Carlo Caprini , Daniele Miorandi

Social tagging systems have recently developed as a popular method of data organisation on the Internet. These systems allow users to organise their content in a way that makes sense to them, rather than forcing them to use a pre-determined…

Information Retrieval · Computer Science 2009-11-24 Morgan Harvey , Mark Baillie , Ian Ruthven , David Elsweiler

Tags assigned by users to shared content can be ambiguous. As a possible solution, we propose semantic tagging as a collaborative process in which a user selects and associates Web resources drawn from a knowledge context. We applied this…

Digital Libraries · Computer Science 2013-04-08 Bernhard Haslhofer , Werner Robitza , Carl Lagoze , Francois Guimbretiere

Tagging-based systems enable users to categorize web resources by means of tags (freely chosen keywords), in order to refinding these resources later. Tagging is implicitly also a social indexing process, since users share their tags and…

Information Retrieval · Computer Science 2024-01-11 Yusef Hassan-Montero , Victor Herrero-Solana

With the emergence of Web 2.0, tag recommenders have become important tools, which aim to support users in finding descriptive tags for their bookmarked resources. Although current algorithms provide good results in terms of tag prediction…

Information Retrieval · Computer Science 2018-05-31 Dominik Kowald

In our daily lives, organizing resources into a set of categories is a common task. Categorization becomes more useful as the collection of resources increases. Large collections of books, movies, and web pages, for instance, are cataloged…

Digital Libraries · Computer Science 2012-05-01 Arkaitz Zubiaga

The World Wide Web (WWW) has fundamentally changed the ways billions of people are able to access information. Thus, understanding how people seek information online is an important issue of study. Wikipedia is a hugely important part of…

Physics and Society · Physics 2023-01-05 Patrick Gildersleve , Taha Yasseri

Social networking sites such as Flickr and Facebook allow users to share content with family, friends, and interest groups. Also, tags can often assign to resources. In the previous research using few association rules FAR, we have seen…

Information Retrieval · Computer Science 2020-07-31 Diyah Puspitaningrum

Despite the importance and pervasiveness of Wikipedia as one of the largest platforms for open knowledge, surprisingly little is known about how people navigate its content when seeking information. To bridge this gap, we present the first…

Computers and Society · Computer Science 2023-01-19 Tiziano Piccardi , Martin Gerlach , Akhil Arora , Robert West

The social media site Flickr allows users to upload their photos, annotate them with tags, submit them to groups, and also to form social networks by adding other users as contacts. Flickr offers multiple ways of browsing or searching it.…

Information Retrieval · Computer Science 2007-05-23 Kristina Lerman , Anon Plangprasopchok , Chio Wong

Wikipedia has high-quality articles on a variety of topics and has been used in diverse research areas. In this study, a method is presented for using Wikipedia's editor information to build recommender systems in various domains that…

Information Retrieval · Computer Science 2023-06-16 Katsuhiko Hayashi

Hyperlinks are an essential feature of the World Wide Web. They are especially important for online encyclopedias such as Wikipedia: an article can often only be understood in the context of related articles, and hyperlinks make it easy to…

Social and Information Networks · Computer Science 2015-03-17 Robert West , Ashwin Paranjape , Jure Leskovec

Recently, collaborative tagging systems have attracted more and more attention and have been widely applied in web systems. Tags provide highly abstracted information about personal preferences and item content, and are therefore potential…

Information Retrieval · Computer Science 2009-07-21 Zi-Ke Zhang , Tao Zhou

Nowadays, most recommender systems exploit user-provided ratings to infer their preferences. However, the growing popularity of social and e-commerce websites has encouraged users to also share comments and opinions through textual reviews.…

Information Retrieval · Computer Science 2017-10-31 Iacopo Vagliano , Diego Monti , Ansgar Scherp , Maurizio Morisio

User-generated content is shaping the dynamics of the World Wide Web. Indeed, an increasingly large number of systems provide mechanisms to support the growing demand for content creation, sharing, and management. Tagging systems are a…

Information Retrieval · Computer Science 2013-01-29 Elizeu Santos-Neto , David Condon , Nazareno Andrade , Adriana Iamnitchi , Matei Ripeanu

Trending topics in microblogs such as Twitter are valuable resources to understand social aspects of real-world events. To enable deep analyses of such trends, semantic annotation is an effective approach; yet the problem of annotating…

Information Retrieval · Computer Science 2017-01-17 Tuan Tran , Nam Khanh Tran , Teka Hadgu Asmelash , Robert Jäschke

Tagging facilitates information retrieval in social media and other online communities by allowing users to organize and describe online content. Researchers found that the efficiency of tagging systems steadily decreases over time, because…

Computers and Society · Computer Science 2021-04-05 Tiago Santos , Keith Burghardt , Kristina Lerman , Denis Helic

Recommendation systems and content filtering approaches based on annotations and ratings, essentially rely on users expressing their preferences and interests through their actions, in order to provide personalised content. This activity,…

Information Retrieval · Computer Science 2016-05-24 Silvia Puglisi , Javier Parra-Arnau , Jordi Forné , David Rebollo-Monedero
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