• Documents
  • Authors
  • Tables
  • Log in
  • Sign up
  • MetaCart
  • DMCA
  • Donate

CiteSeerX logo

Advanced Search Include Citations

Tools

Sorted by:
Try your query at:
Semantic Scholar Scholar Academic
Google Bing DBLP
Results 1 - 10 of 45,490
Next 10 →

Recommending Smart Tags in a Social Bookmarking System

by Pierpaolo Basile, Domenico Gendarmi, Giovanni Semeraro
"... Abstract. Collaborative tagging systems are harnessing the power of online communities, making the task of knowledge contribution more attractive to a broader audience of Web users. In particular, social bookmarking systems have shifted the organization of bookmarks from an individual activity perfo ..."
Abstract - Cited by 12 (0 self) - Add to MetaCart
Abstract. Collaborative tagging systems are harnessing the power of online communities, making the task of knowledge contribution more attractive to a broader audience of Web users. In particular, social bookmarking systems have shifted the organization of bookmarks from an individual activity

Semantic grounding of tag relatedness in social bookmarking systems

by Ciro Cattuto, Dominik Benz, Andreas Hotho, Gerd Stumme - In The Semantic Web – ISWC 2008, Proc.Intl. Semantic Web Conference 2008, volume 5318 of LNAI , 2008
"... Abstract. Collaborative tagging systems have nowadays become important data sources for populating semantic web applications. For tasks like synonym detection and discovery of concept hierarchies, many researchers introduced measures of tag similarity. Even though most of these measures appear very ..."
Abstract - Cited by 61 (10 self) - Add to MetaCart
and analyze several measures of tag similarity: Each measure is computed on data from the social bookmarking system del.icio.us and a semantic grounding is provided by mapping pairs of similar tags in the folksonomy to pairs of synsets in Wordnet, where we use validated measures of semantic distance

Tag Recommendation in Social Bookmarking Systems. To suppor...

by unknown authors
"... Challenge, allowing researchers to develop and test algorithms for novel and real world datasets. This year’s Discovery Challenge 1 presents a dataset from the field of social bookmarking to deal with two important tasks in this area: the detection of spam and the recommendation of tags. The results ..."
Abstract - Add to MetaCart
. The results submitted by the challenge’s participants are presented at an ECML/PKDD workshop on September 15th, 2008, in Antwerp. The dataset provided has been created using data of the social bookmark and publication sharing system BibSonomy 2, operated by the organizers of this challenge. The training data

Evaluating tagging behavior in social bookmarking systems: metrics and design heuristics

by Umer Farooq, Thomas G. Kannampallil, Yang Song, Craig H. Ganoe, John M. Carroll, C. Lee Giles - In Proceedings of the 2007 international ACM GROUP '07 , 2007
"... To improve existing social bookmarking systems and to design new ones, researchers and practitioners need to understand how to evaluate tagging behavior. In this paper, we analyze over two years of data from CiteULike, a social bookmarking system for tagging academic papers. We propose six tag metri ..."
Abstract - Cited by 21 (1 self) - Add to MetaCart
To improve existing social bookmarking systems and to design new ones, researchers and practitioners need to understand how to evaluate tagging behavior. In this paper, we analyze over two years of data from CiteULike, a social bookmarking system for tagging academic papers. We propose six tag

SPAM DETECTION IN SOCIAL BOOKMARKING SYSTEM-EMPIRICAL EVALUATION

by Mittal Sejpal , Priyank Thakkar
"... ABSTRACT Social Bookmarking web sites have recently become popular for collecting and sharing of interesting web sites among users. People can add web pages to such sites, as bookmarks and allow themselves as well as others to work on them. One of the key features of the social bookmarking sites is ..."
Abstract - Add to MetaCart
ABSTRACT Social Bookmarking web sites have recently become popular for collecting and sharing of interesting web sites among users. People can add web pages to such sites, as bookmarks and allow themselves as well as others to work on them. One of the key features of the social bookmarking sites

Empirical Analysis of Periodically Bookmarked Web Pages in Social Bookmarking Systems

by Keisuke Tsunamoto , Sayaka Kamei , Satoshi Fujita
"... Abstract-There are enormous amount of pages on web. We consider that there are many web pages periodically viewed by users. For example, we can imagine that pages about the illustration of New Year's cards are generally viewed near the end of each year. In this paper, we investigate the proper ..."
Abstract - Add to MetaCart
the property of such periodically viewed web pages using social bookmarking systems. Specifically, we will confirm that how many pages are actually bookmarked with a specific period and why they are bookmarked periodically. We focus on the frequency analysis with a discrete Fourier transform as a concrete tool

Towards Mining Semantic Maturity in Social Bookmarking Systems

by Martin Atzmueller, Dominik Benz, Andreas Hotho, Gerd Stumme
"... Abstract. The existence of emergent semantics within social metadata (such as tags in bookmarking systems) has been proven by a large number of successful approaches making the implicit semantic structures explicit. However, much less attention has been given to the factors which influence the “matu ..."
Abstract - Cited by 3 (3 self) - Add to MetaCart
Abstract. The existence of emergent semantics within social metadata (such as tags in bookmarking systems) has been proven by a large number of successful approaches making the implicit semantic structures explicit. However, much less attention has been given to the factors which influence

1Tag Recommendations in Social Bookmarking Systems

by Robert Jäschke A, C Le, Ro Marinho B, Andreas Hotho, Lars Schmidt-thieme, Gerd Stumme A C
"... Abstract. Collaborative tagging systems allow users to as-sign keywords—so called “tags”—to resources. Tags are used for navigation, finding resources and serendipitous browsing and thus provide an immediate benefit for users. These systems usually include tag recommendation mecha-nisms easing the p ..."
Abstract - Add to MetaCart
Abstract. Collaborative tagging systems allow users to as-sign keywords—so called “tags”—to resources. Tags are used for navigation, finding resources and serendipitous browsing and thus provide an immediate benefit for users. These systems usually include tag recommendation mecha-nisms easing

The anti-social tagger - detecting spam in social bookmarking systems

by Beate Krause, Christoph Schmitz, Andreas Hotho, Gerd Stumme - In Proc. of the Fourth International Workshop on Adversarial Information Retrieval on the Web , 2008
"... The annotation of web sites in social bookmarking systems has become a popular way to manage and find information on the web. The community structure of such systems attracts spammers: recent post pages, popular pages or specific tag pages can be manipulated easily. As a result, searching or trackin ..."
Abstract - Cited by 23 (1 self) - Add to MetaCart
The annotation of web sites in social bookmarking systems has become a popular way to manage and find information on the web. The community structure of such systems attracts spammers: recent post pages, popular pages or specific tag pages can be manipulated easily. As a result, searching

Tag Recommendations Based on Tracking Social Bookmarking Systems

by Szymon Chojnacki
"... Abstract. The purpose of this paper is to describe our approach to Tag ..."
Abstract - Add to MetaCart
Abstract. The purpose of this paper is to describe our approach to Tag
Next 10 →
Results 1 - 10 of 45,490
Powered by: Apache Solr
  • About CiteSeerX
  • Submit and Index Documents
  • Privacy Policy
  • Help
  • Data
  • Source
  • Contact Us

Developed at and hosted by The College of Information Sciences and Technology

© 2007-2019 The Pennsylvania State University