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» An Optimization Framework for Query Recommendation
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ECML
2004
Springer
14 years 23 days ago
Dynamic Asset Allocation Exploiting Predictors in Reinforcement Learning Framework
Given the pattern-based multi-predictors of the stock price, we study a method of dynamic asset allocation to maximize the trading performance. To optimize the proportion of asset ...
Jangmin O, Jae Won Lee, Jongwoo Lee, Byoung-Tak Zh...
SIGIR
2011
ACM
12 years 10 months ago
Functional matrix factorizations for cold-start recommendation
A key challenge in recommender system research is how to effectively profile new users, a problem generally known as cold-start recommendation. Recently the idea of progressivel...
Ke Zhou, Shuang-Hong Yang, Hongyuan Zha
SIGMOD
2005
ACM
164views Database» more  SIGMOD 2005»
14 years 7 months ago
RankSQL: Query Algebra and Optimization for Relational Top-k Queries
This paper introduces RankSQL, a system that provides a systematic and principled framework to support efficient evaluations of ranking (top-k) queries in relational database syst...
Chengkai Li, Kevin Chen-Chuan Chang, Ihab F. Ilyas...
GIS
2010
ACM
13 years 5 months ago
Towards location-based social networking services
Social networking applications have become very important web services that provide Internet-based platforms for their users to interact with their friends. With the advances in t...
Chi-Yin Chow, Jie Bao 0003, Mohamed F. Mokbel
DASFAA
2004
IEEE
95views Database» more  DASFAA 2004»
13 years 11 months ago
On Incorporating Iceberg Queries in Query Processors
Iceberg queries are a special case of SQL queries involving GROUP BY and HAVING clauses, wherein the answer set is small relative to the database size. We present here a performanc...
Krishna P. Leela, Pankaj M. Tolani, Jayant R. Hari...