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ICDAR
2011
IEEE
12 years 8 months ago
Word Retrieval in Historical Document Using Character-Primitives
Word searching and indexing in historical document collections is a challenging problem because, characters in these documents are often touching or broken due to degradation/agei...
Partha Pratim Roy, Jean-Yves Ramel, Nicolas Ragot
CIKM
2009
Springer
14 years 3 months ago
Enabling multi-level relevance feedback on pubmed by integrating rank learning into DBMS
Background: Finding relevant articles from PubMed is challenging because it is hard to express the user’s specific intention in the given query interface, and a keyword query ty...
Hwanjo Yu, Taehoon Kim, Jinoh Oh, Ilhwan Ko, Sungc...
VLDB
2002
ACM
138views Database» more  VLDB 2002»
13 years 8 months ago
Adaptable Similarity Search using Non-Relevant Information
Many modern database applications require content-based similarity search capability in numeric attribute space. Further, users' notion of similarity varies between search se...
T. V. Ashwin, Rahul Gupta, Sugata Ghosal
WWW
2007
ACM
14 years 10 months ago
Dynamic personalized pagerank in entity-relation graphs
Extractors and taggers turn unstructured text into entityrelation (ER) graphs where nodes are entities (email, paper, person, conference, company) and edges are relations (wrote, ...
Soumen Chakrabarti
KDD
2003
ACM
129views Data Mining» more  KDD 2003»
14 years 9 months ago
Nantonac collaborative filtering: recommendation based on order responses
A recommender system suggests the items expected to be preferred by the users. Recommender systems use collaborative filtering to recommend items by summarizing the preferences of...
Toshihiro Kamishima