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» A measure theoretic approach to information retrieval
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TREC
2004
15 years 7 months ago
Can We Get A Better Retrieval Function From Machine?
The quality of an information retrieval system heavily depends on its retrieval function, which returns a similarity measurement between the query and each document in the collect...
Weiguo Fan, Wensi Xi, Edward A. Fox, Li Wang
MM
2004
ACM
178views Multimedia» more  MM 2004»
15 years 11 months ago
A bootstrapping framework for annotating and retrieving WWW images
Most current image retrieval systems and commercial search engines use mainly text annotations to index and retrieve WWW images. This research explores the use of machine learning...
HuaMin Feng, Rui Shi, Tat-Seng Chua
AWIC
2011
Springer
14 years 9 months ago
Enabling Product Comparisons on Unstructured Information Using Ontology Matching
Information extraction approaches are heavily used to gather product information on the Web, especially focusing on technical product specifications. If requesting different sour...
Maximilian Walther, Niels Jäckel, Daniel Schu...
WEBI
2010
Springer
15 years 4 months ago
Ranking Approaches for Microblog Search
Ranking microblogs, such as tweets, as search results for a query is challenging, among other things because of the sheer amount of microblogs that are being generated in real time...
Rinkesh Nagmoti, Ankur Teredesai, Martine De Cock
SEMWEB
2007
Springer
16 years 9 days ago
Analyzing Mapping Extraction Approaches
While lots of research in ontology matching is related to the issue of computing and refining similarity measures, only little attention has been paid to question how to extract t...
Christian Meilicke, Heiner Stuckenschmidt