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» Term Ranking for Clustering Web Search Results
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MM
2006
ACM
164views Multimedia» more  MM 2006»
15 years 3 months ago
Scalable relevance feedback using click-through data for web image retrieval
Relevance feedback (RF) has been extensively studied in the content-based image retrieval community. However, no commercial Web image search engines support RF because of scalabil...
En Cheng, Feng Jing, Lei Zhang, Hai Jin
JCDL
2004
ACM
128views Education» more  JCDL 2004»
15 years 3 months ago
Panorama: extending digital libraries with topical crawlers
A large amount of research, technical and professional documents are available today in digital formats. Digital libraries are created to facilitate search and retrieval of inform...
Gautam Pant, Kostas Tsioutsiouliklis, Judy Johnson...
SIGMOD
2006
ACM
232views Database» more  SIGMOD 2006»
15 years 10 months ago
To search or to crawl?: towards a query optimizer for text-centric tasks
Text is ubiquitous and, not surprisingly, many important applications rely on textual data for a variety of tasks. As a notable example, information extraction applications derive...
Panagiotis G. Ipeirotis, Eugene Agichtein, Pranay ...
MM
2006
ACM
108views Multimedia» more  MM 2006»
15 years 3 months ago
Video search reranking via information bottleneck principle
We propose a novel and generic video/image reranking algorithm, IB reranking, which reorders results from text-only searches by discovering the salient visual patterns of relevant...
Winston H. Hsu, Lyndon S. Kennedy, Shih-Fu Chang
KDD
2008
ACM
166views Data Mining» more  KDD 2008»
15 years 10 months ago
Generating succinct titles for web URLs
How can a search engine automatically provide the best and most appropriate title for a result URL (link-title) so that users will be persuaded to click on the URL? We consider th...
Deepayan Chakrabarti, Ravi Kumar, Kunal Punera