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WWW
2005
ACM
16 years 10 days ago
LSH forest: self-tuning indexes for similarity search
We consider the problem of indexing high-dimensional data for answering (approximate) similarity-search queries. Similarity indexes prove to be important in a wide variety of sett...
Mayank Bawa, Tyson Condie, Prasanna Ganesan
ACMICEC
2007
ACM
154views ECommerce» more  ACMICEC 2007»
15 years 3 months ago
Learning and adaptivity in interactive recommender systems
Recommender systems are intelligent E-commerce applications that assist users in a decision-making process by offering personalized product recommendations during an interaction s...
Tariq Mahmood, Francesco Ricci
DEXA
2005
Springer
148views Database» more  DEXA 2005»
15 years 5 months ago
XG: A Data-Driven Computation Grid for Enterprise-Scale Mining
In this paper we introduce a novel architecture for data processing, based on a functional fusion between a data and a computation layer. We show how such an architecture can be le...
Radu Sion, Ramesh Natarajan, Inderpal Narang, Wen-...
VLDB
2008
ACM
170views Database» more  VLDB 2008»
15 years 12 months ago
A multi-ranker model for adaptive XML searching
The evolution of computing technology suggests that it has become more feasible to offer access to Web information in a ubiquitous way, through various kinds of interaction device...
Ho Lam Lau, Wilfred Ng
SIGMOD
2009
ACM
137views Database» more  SIGMOD 2009»
15 years 12 months ago
Robust and efficient algorithms for rank join evaluation
In the rank join problem we are given a relational join R1 1 R2 and a function that assigns numeric scores to the join tuples, and the goal is to return the tuples with the highes...
Jonathan Finger, Neoklis Polyzotis