Can social bookmarking enhance search in the web?

Yanbe, Yusuke; Jatowt, Adam; Nakamura, Satoshi; Tanaka, Katsumi

doi:10.1145/1255175.1255198

Cited by 146 publications

(102 citation statements)

References 18 publications

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“…In fact, community-generated tags have been suggested to improve the quality of search results [2,14] and to generate personalized tags for Web pages [3]. We believe that community-generated tags can also improve the efficiency of advertising.…”

Section: Related Workmentioning

confidence: 99%

Use of Content Tags in Managing Advertisements for Online Videos

Huang¹,

Kung²,

Su³

2008

2008 10th IEEE Conference on E-Commerce Technology and the Fifth IEEE Conference on Enterprise Computing, E-Commerce and E-Serv

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Section: Related Workmentioning

confidence: 99%

Use of Content Tags in Managing Advertisements for Online Videos

Huang¹,

Kung²,

Su³

2008

2008 10th IEEE Conference on E-Commerce Technology and the Fifth IEEE Conference on Enterprise Computing, E-Commerce and E-Serv

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“…In one direction, the wealth of socially-generated metadata on social tagging services has spurred new social approaches for augmenting traditional web search and browsing, e.g., [11], [12], [13], [14], [15], [16], [17].…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Generative Models of the Social Annotation Process

Kashoob

Caverlee

Khabiri

2009

2009 International Conference on Computational Science and Engineering

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Abstract-With the growth in the past few years of social tagging services like Delicious and CiteULike, there is growing interest in modeling and mining these social systems for deriving implicit social collective intelligence. In this paper, we propose and explore two probabilistic generative models of the social annotation (or tagging) process with an emphasis on user participation. These models leverage the inherent social communities implicit in these tagging services. We compare the proposed models to two prominent probabilistic topic models (Latent Dirichlet Allocation and Pachinko Allocation) via an experimental study of the popular Delicious tagging service. We find that the proposed community-based annotation models identify more coherent implicit structures than the alternatives and are better suited to handle unseen social annotation data.

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“…Social information has been used to improve Web search in many recent works [4][5]. Yanbe et al analyzed social bookmark information and proposed a method that reranks results returned by a Web search engine by using social bookmarks as votes for pages [6]. Semantics has also been extracted from social tagging information in Flickr [7][8], and there have been analyses using Flickr regarding user behavior and the number of photos and tags [9] [10].…”

Section: Related Workmentioning

confidence: 99%

Can Social Tagging Improve Web Image Search?

Katô

Ohshima

Oyama

et al.

Lecture Notes in Computer Science

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Abstract. Conventional Web image search engines can return reasonably accurate results for queries containing concrete terms, but the results are less accurate for queries containing only abstract terms, such as "spring" or "peace." To improve the recall ratio without drastically degrading the precision ratio, we developed a method that replaces an abstract query term given by a user with a set of concrete terms and that uses these terms in queries input into Web image search engines. Concrete terms are found for a given abstract term by making use of social tagging information extracted from a social photo sharing system, such as Flickr. This information is rich in user impressions about the objects in the images. The extraction and replacement are done by (1) collecting social tags that include the abstract term, (2) clustering the tags in accordance with the term co-occurrence of images, (3) selecting concrete terms from the clusters by using WordNet, and (4) identifying sets of concrete terms that are associated with the target abstract term by using a technique for association rule mining. Experimental results show that our method improves the recall ratio of Web image searches.

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Can social bookmarking enhance search in the web?

Cited by 146 publications

References 18 publications

Use of Content Tags in Managing Advertisements for Online Videos

Use of Content Tags in Managing Advertisements for Online Videos

Probabilistic Generative Models of the Social Annotation Process

Can Social Tagging Improve Web Image Search?

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