The impact of resource title on tags in collaborative tagging systems

Lipczak, Marek; Milios, Evangelos

doi:10.1145/1810617.1810648

Cited by 24 publications

(31 citation statements)

References 18 publications

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“…The exception is TAGS in YahooVideo, which, despite collaborative, shares great similarity with the restrictive TITLE and DESCRIPTION features, perhaps an indication that TAGS are often used only by the video owner herself. These results are consistent with those reported in (Lipczak & Milios, 2010) which show a significant overlap between TITLE and TAGS in CiteULike and Delicious objects. Nevertheless, we should note that the average Jaccard coefficients are all under 0.52.…”

Section: Content Diversitysupporting

confidence: 93%

“…The authors concluded that both TITLE and DESCRIPTION better capture the context within the picture, thus offering better descriptions, whereas TAGS are mostly used for organizational purposes. With a different goal, Lipczak and Milios (2010) analyzed the relations between the titles of the objects and the tags used to describe them, finding that users' tagging decisions are influenced by the title's content. They also found that users are less likely to pay attention to tags posted by other users, but rather tend to maintain the consistency of her personal profile of tags.…”

Section: Related Workmentioning

confidence: 99%

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Assessing the quality of textual features in social media

Figueiredo

Pinto

Belém

et al. 2013

Information Processing & Management

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Section: Content Diversitysupporting

confidence: 93%

Section: Related Workmentioning

confidence: 99%

Assessing the quality of textual features in social media

Figueiredo

Pinto

Belém

et al. 2013

Information Processing & Management

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“…1 we also learn that it is quite frequent that a picture in the photoset is labeled with a tag that appears also in the title. This is coherent with the observation that users tend to tag resources with words taken by the title of the resource or of the collection which contains it [4]. Moreover, In Flickr this behavior is somehow broaden by the possibility to tag pictures in batch.…”

Section: Collectionssupporting

confidence: 77%

Tagging relations to achieve complex search goals

Schifanella

Aiello

Ruffo

2011

2011 7th International Conference on Next Generation Web Services Practices

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Abstract-Social search is having a flourishing success for its effectiveness in retrieving high quality information useful to achieve complex search goals. Surprisingly, the potential of the social paradigm at the basis of collaborative tagging in satisfying complex search intents has been unexplored so far. We propose an extended model of folksonomies that allows to compose and tag complex user-defined relations among items, users, and tags. We show that this model offers several means to fulfill complex search tasks that are hard to be achieved by other existing services. Furthermore, we support the validity of our approach through a data-driven analysis on Flickr photosets and we present an online portal that provides this new user experience.

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“…User-generated tags have been exploited by many researchers in recommender systems. Marek Lipczak et al [13] discussed the potential role of the three tag sources: resource content as well as resource profiles and user profiles. They considered the title of a resource as a starting point of the recommendation process and extend the set by tags related to the title as well as tags present in the profiles of resource and user to extract valuable tags from user profile.…”

Section: Social Tag Sourcesmentioning

confidence: 99%

Social Network and Tag Sources Based Augmenting Collaborative Recommender System

Zhou

Tang

et al. 2015

IEICE Trans. Inf. & Syst.

251

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SUMMARYRecommender systems, which provide users with recommendations of content suited to their needs, have received great attention in today's online business world. However, most recommendation approaches exploit only a single source of input data and suffer from the data sparsity problem and the cold start problem. To improve recommendation accuracy in this situation, additional sources of information, such as friend relationship and user-generated tags, should be incorporated in recommendation systems. In this paper, we revise the user-based collaborative filtering (CF) technique, and propose two recommendation approaches fusing usergenerated tags and social relations in a novel way. In order to evaluate the performance of our approaches, we compare experimental results with two baseline methods: user-based CF and user-based CF with weighted friendship similarity using the real datasets (Last.fm and Movielens). Our experimental results show that our methods get higher accuracy. We also verify our methods in cold-start settings, and our methods achieve more precise recommendations than the compared approaches.

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The impact of resource title on tags in collaborative tagging systems

Cited by 24 publications

References 18 publications

Assessing the quality of textual features in social media

Assessing the quality of textual features in social media

Tagging relations to achieve complex search goals

Social Network and Tag Sources Based Augmenting Collaborative Recommender System

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