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Bilyana Taneva 的引文(7) 排序方式:
Div150Cred: A social image retrieval result diversification with user tagging credibility dataset  
In this paper we introduce a new dataset and its evaluation tools, Div150Cred, that was designed to support shared evaluation of diversification techniques in different areas of social media photo ret......
Multimedia Systems  2015
0次引用 0 0
Div400: a social image retrieval result diversification dataset  
In this paper we propose a new dataset, Div400, that was designed to support shared evaluation in different areas of social media photo retrieval, e.g., machine analysis (re-ranking, machine learning)......
Multimedia Systems  2014
0次引用 0 0
CATE: context-aware timeline for entity illustration  
Wikipedia has become one of the most authoritative information sources on the Web. Each article in Wikipedia provides a portrait of a certain entity. However, such a portrait is far from complete. An ......
World Wide Web Conference Series  2011
2次引用 0 0
Multipedia: enriching DBpedia with multimedia information  
Enriching knowledge bases with multimedia information makes it possible to complement textual descriptions with visual and audio information. Such complementary information can help users to understan......
International Conference on Knowledge Capture  2011
0次引用 0 0
Database researchers: plumbers or thinkers?  
DB researchers have traditionally focused on engine-centered issues such as indexing, query processing, and transactions. Data mining has broadened the community's viewpoint towards algorithmic and st......
Extending Database Technology  2011
0次引用 0 0
SocialSearch: enhancing entity search with social network matching  
This paper introduces the problem of matching people names to their corresponding social network identities such as their Twitter accounts. Existing tools for this purpose build upon naive textual mat......
Extending Database Technology  2011
0次引用 0 0
Finding images of difficult entities in the long tail  
While images of famous people and places are abundant on the Internet, they are much harder to retrieve for less popular entities such as notable computer scientists or regionally interesting churches......
International Conference on Information and Knowledge Management  2011
0次引用 0 0

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