How BiCB Revolutionizes Real‑Time Bidding for Live Ads with Light‑Weight Optimization

This article presents the BiCB (Binary Constrained Bidding) algorithm, a lightweight auto‑bidding solution for live advertising that combines optimal bidding formulas derived from linear‑programming dual analysis with traffic‑prediction statistics to achieve near‑optimal performance under budget and CPC constraints.

Online OptimizationTraffic Predictionauto-bidding

0 likes · 17 min read

How BiCB Revolutionizes Real‑Time Bidding for Live Ads with Light‑Weight Optimization

Bighead's Algorithm Notes

Jan 28, 2026 · Artificial Intelligence

How HiveMind Optimizes LLM Multi‑Agent Trading Systems via Contribution‑Guided Online Prompts

The HiveMind framework introduces a contribution‑guided online prompt optimization (CG‑OPO) that quantifies each LLM‑driven agent’s impact with Shapley values and uses a DAG‑Shapley algorithm to efficiently attribute credit, enabling real‑time adaptive optimization of multi‑agent stock‑trading systems and achieving superior returns with far fewer LLM calls.

DAG-ShapleyFinancial TradingLLM

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How HiveMind Optimizes LLM Multi‑Agent Trading Systems via Contribution‑Guided Online Prompts

Tech Freedom Circle

Sep 11, 2025 · Backend Development

How to Optimize a Redis Big Key Online Without Disrupting Existing Services (Interview Answer)

The article explains what a Redis big key is, why it harms performance, typical scenarios that generate big keys, and provides a step‑by‑step online optimization plan—including key sharding, dual‑write synchronization, progressive migration with HSCAN, gray‑scale traffic switch, non‑blocking deletion using UNLINK, and monitoring with rollback procedures—to answer the interview question confidently.

BackendBig KeyData Migration

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How to Optimize a Redis Big Key Online Without Disrupting Existing Services (Interview Answer)

Alimama Tech

Mar 6, 2024 · Artificial Intelligence

Risk-Constrained Budget Pacing for Guaranteed Display Advertising

The paper introduces a percentile‑based risk‑constrained budget‑pacing algorithm for guaranteed‑delivery display ads that ties the pacing rate to the dual‑bidding factor’s percentile, preserving volume guarantees while preventing rapid spend bursts, using adaptive transforms, gradient clipping and stop‑loss controls, and demonstrates smoother spend and performance gains in large‑scale A/B tests.

Online Optimizationalgorithmbudget pacing

0 likes · 16 min read

Risk-Constrained Budget Pacing for Guaranteed Display Advertising

Alimama Tech

Feb 9, 2022 · Artificial Intelligence

Online Allocation Strategies for Guaranteed Display Advertising: Modeling, Distributed Solving, and Adaptive Pacing

The paper presents a guarantee‑based, distributed allocation framework for Alibaba’s off‑site brand contract ads that extends the SHALE algorithm with effect‑driven objectives and explicit over‑allocation constraints, solves dual variables via coordinate descent, and employs adaptive probability‑based pacing to meet volume guarantees while significantly boosting average CTR.

Online Optimizationallocationguaranteed display

0 likes · 11 min read

Online Allocation Strategies for Guaranteed Display Advertising: Modeling, Distributed Solving, and Adaptive Pacing

DataFunSummit

Oct 31, 2021 · Artificial Intelligence

Exploring Generalized Multi‑Objective Recommendation Algorithms for 58 Community

This article details how 58 Community evolved its recommendation system from single‑objective click‑rate optimization to a multi‑objective framework that boosts value‑content share, improves user retention, and leverages cross‑domain embeddings and online CEM‑based parameter tuning to achieve significant performance gains.

CEMEmbeddingOnline Optimization

0 likes · 15 min read

Exploring Generalized Multi‑Objective Recommendation Algorithms for 58 Community

21CTO

Jul 1, 2021 · Operations

How Meituan Optimized Delivery Ad Compute with Intelligent Power Allocation

This article describes Meituan's delivery advertising system's shift to intelligent compute allocation, detailing the business challenges, the four‑element framework for dynamic resource distribution, the optimal tier decision process, system stability mechanisms, experimental results, and future research directions.

MeituanOnline Optimizationad serving

0 likes · 19 min read

How Meituan Optimized Delivery Ad Compute with Intelligent Power Allocation