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» Maximum Margin Ranking Algorithms for Information Retrieval
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WWW
2002
ACM
13 years 7 months ago
Improvement of HITS-based algorithms on web documents
In this paper, we present two ways to improve the precision of HITS-based algorithms on Web documents. First, by analyzing the limitations of current HITS-based algorithms, we pro...
Longzhuang Li, Yi Shang, Wei Zhang
WWW
2007
ACM
14 years 8 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
SIGIR
2011
ACM
12 years 10 months ago
Faster top-k document retrieval using block-max indexes
Large search engines process thousands of queries per second over billions of documents, making query processing a major performance bottleneck. An important class of optimization...
Shuai Ding, Torsten Suel
SIGMOD
2007
ACM
229views Database» more  SIGMOD 2007»
14 years 7 months ago
Spark: top-k keyword query in relational databases
With the increasing amount of text data stored in relational databases, there is a demand for RDBMS to support keyword queries over text data. As a search result is often assemble...
Yi Luo, Xuemin Lin, Wei Wang 0011, Xiaofang Zhou
WWW
2009
ACM
14 years 8 months ago
An effective semantic search technique using ontology
In this paper, we present a semantic search technique considering the type of desired Web resources and the semantic relationships between the resources and the query keywords in ...
Jihyun Lee, Jun-Ki Min, Chin-Wan Chung