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IADIS
2004
13 years 9 months ago
Relevance feedback using semantic association between indexing terms in large free text corpuses
Relevance feedback has been considered as a means of incorporating learning into information retrieval systems for quite sometime now. This paper discusses the research results of...
Shahzad Khan, Kenan Azam
SIGMOD
2006
ACM
202views Database» more  SIGMOD 2006»
14 years 7 months ago
Avatar semantic search: a database approach to information retrieval
We present Avatar Semantic Search, a prototype search engine that exploits annotations in the context of classical keyword search. The process of annotations is accomplished offli...
Eser Kandogan, Rajasekar Krishnamurthy, Sriram Rag...
VLDB
1994
ACM
148views Database» more  VLDB 1994»
13 years 11 months ago
Fast Incremental Indexing for Full-Text Information Retrieval
Full-text information retrieval systems have traditionally been designed for archival environments. They often provide little or no support for adding new documents to an existing...
Eric W. Brown, James P. Callan, W. Bruce Croft
CIKM
2005
Springer
14 years 1 months ago
Word sense disambiguation in queries
This paper presents a new approach to determine the senses of words in queries by using WordNet. In our approach, noun phrases in a query are determined first. For each word in th...
Shuang Liu, Clement T. Yu, Weiyi Meng
DELOS
2001
13 years 8 months ago
Relevance Feedback for Best Match Term Weighting Algorithms in Information Retrieval
Personalisation in full text retrieval or full text filtering implies reweighting of the query terms based on some explicit or implicit feedback from the user. Relevance feedback i...
Djoerd Hiemstra, Stephen E. Robertson