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» An Optimization Framework for Query Recommendation
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ECML
2004
Springer
15 years 5 months 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
14 years 2 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»
15 years 11 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
14 years 9 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»
15 years 3 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...