parameter tuning

ByteDance Data Platform

Apr 25, 2025 · Databases

How ByteDance’s AQETuner Cuts Query Latency by 23% and Boosts Reliability

ByteDance Data Platform’s recent breakthroughs in database research—spanning query‑level Bayesian tuning, adaptive stream‑processing parallelism, and learned cardinality estimation—were highlighted by two papers accepted at VLDB 2025 and ICDE 2025, showcasing significant performance gains and real‑world deployments.

AIQuery Optimizationcardinality estimation

0 likes · 5 min read

How ByteDance’s AQETuner Cuts Query Latency by 23% and Boosts Reliability

DataFunSummit

Feb 7, 2025 · Artificial Intelligence

Fusion Ranking and Multi-Objective Optimization in Recommendation Systems

This article introduces the role of ranking formulas in recommendation systems, compares sequence and value fusion methods, discusses multi‑objective trade‑offs, explains offline parameter search principles, and demonstrates the open‑source ParaDance framework for automated ranking formula optimization.

Recommendation systemsalgorithm engineeringmulti-objective

0 likes · 17 min read

Fusion Ranking and Multi-Objective Optimization in Recommendation Systems

DaTaobao Tech

Sep 6, 2022 · Big Data

SQL Optimization Techniques for ODPS (Open Data Processing Service)

The article presents practical ODPS SQL optimization strategies—including explicit column selection, partition limiting, multi‑insert, proper handling of nulls, join‑type choices, map‑join and skew hints, bucketed tables, and tuned task parameters—illustrated with three real‑world cases that dramatically cut execution time and resource usage.

Big DataHiveODPS

0 likes · 23 min read

SQL Optimization Techniques for ODPS (Open Data Processing Service)

Tencent Cloud Developer

Apr 8, 2022 · Databases

Tencent Cloud Native Database AI Autonomy: SIGMOD Research and Intelligent Tuning System

Tencent Cloud’s native database team achieved a SIGMOD breakthrough by embedding AI into MySQL, creating an autonomous “database brain” that uses deep‑reinforcement learning, genetic pre‑heating and a closed‑loop learner/actor architecture to automatically observe, analyze, and tune diverse workloads, delivering rapid performance gains, anomaly detection, and self‑optimizing features while addressing adaptability, stability, and interpretability challenges.

AI optimizationCDBTuneDatabase Autonomy

0 likes · 8 min read

Tencent Cloud Native Database AI Autonomy: SIGMOD Research and Intelligent Tuning System

Alimama Tech

Sep 29, 2021 · Artificial Intelligence

Unified Solution to Constrained Bidding in Online Display Advertising (USCB)

The paper proposes a unified solution for real‑time bidding in online display ads that formulates advertiser budget and KPI limits as a constrained linear program, derives a closed‑form optimal bidding function with m+1 parameters, and uses model‑free reinforcement learning to dynamically adjust those parameters, achieving superior traffic‑value capture in large‑scale deployment on Alibaba’s Taobao platform.

Real-Time Biddingadvertisingconstrained optimization

0 likes · 11 min read

Unified Solution to Constrained Bidding in Online Display Advertising (USCB)

Aikesheng Open Source Community

Oct 13, 2020 · Databases

Testing the Impact of group_replication_member_expel_timeout on MySQL Group Replication under Network Latency

This article investigates how the MySQL 8.0 group_replication_member_expel_timeout parameter influences node expulsion in a group replication cluster when network latency is introduced, describing the test environment, methodology, commands, observations, and configuration recommendations.

Database ClusterGroup ReplicationMySQL

0 likes · 7 min read

Testing the Impact of group_replication_member_expel_timeout on MySQL Group Replication under Network Latency

Fulu Network R&D Team

Jul 21, 2020 · Artificial Intelligence

Prophet Parameter Tuning and Practical Guide for Time Series Forecasting

This article provides a comprehensive tutorial on Prophet's key parameters, their meanings, and practical tips for tuning them—including growth, changepoints, seasonalities, holidays, and Bayesian settings—along with Python code examples for grid search and cross‑validation to improve forecasting accuracy.

ProphetPythoncross-validation

0 likes · 14 min read

Prophet Parameter Tuning and Practical Guide for Time Series Forecasting

Big Data Technology Architecture

May 21, 2019 · Databases

Postmortem Analysis of a 10‑Node HBase Cluster Outage and Mitigation Measures

This article presents a detailed post‑mortem of a 10‑node HBase cluster failure caused by excessive region count and memstore pressure, analyzes HDFS and datanode log errors, and outlines configuration adjustments and operational recommendations that restored the service and prevented future outages.

Big DataCluster OutageCompaction

0 likes · 16 min read

Postmortem Analysis of a 10‑Node HBase Cluster Outage and Mitigation Measures

Qunar Tech Salon

Mar 28, 2015 · Artificial Intelligence

Support Vector Machines in R: Theory, Implementation, and Parameter Tuning

This article explains how support vector machines work, how to handle non‑linear and multi‑class problems, and provides a complete R implementation using the e1071 package, including linear and radial kernels, model evaluation, parameter tuning, and visualisation with grid plots.

Grid PlotRRadial Kernel

0 likes · 9 min read

Support Vector Machines in R: Theory, Implementation, and Parameter Tuning