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ranking algorithm

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HomeTech
HomeTech
Oct 20, 2023 · Operations

Design and Iteration of a Hotness Ranking Algorithm for an Automotive Forum

This article details the development, mathematical foundations, iterative improvements, anti‑cheating measures, and practical impact of a hotness‑based ranking algorithm deployed to modernize and enhance content discovery on an automotive community forum.

Forumanti-cheatdata-driven
0 likes · 14 min read
Design and Iteration of a Hotness Ranking Algorithm for an Automotive Forum
DataFunSummit
DataFunSummit
Aug 6, 2021 · Artificial Intelligence

Personalized Advertising Ranking and Intelligent Bidding in iQIYI Effect Advertising

This article presents iQIYI's effect advertising system, detailing its dual-engine resource layout, oCPX billing model, algorithmic challenges of high‑dimensional sparse conversion data, the multi‑stage personalized recommendation pipeline, eCPM‑based ranking, online training/inference workflow, and intelligent bidding strategies that balance cost control and traffic quality.

Big Dataadvertisingclick-through rate
0 likes · 11 min read
Personalized Advertising Ranking and Intelligent Bidding in iQIYI Effect Advertising
iQIYI Technical Product Team
iQIYI Technical Product Team
Apr 10, 2020 · Artificial Intelligence

iQIYI Effect Advertising: Product Overview, Ranking Algorithm Practices, and Business Strategy

The iQIYI effect advertising platform offers in‑frame and out‑of‑frame slots, uses CPX and oCPX billing with real‑time eCPM bidding, and employs a three‑stage ranking funnel—recall, coarse‑ranking, and fine‑ranking—powered by dual‑tower, wide‑deep and multi‑task models, while smart‑bidding, cold‑start handling, and traffic‑level adjustments automate optimization and stabilize conversion costs.

advertisingiQIYImachine learning
0 likes · 20 min read
iQIYI Effect Advertising: Product Overview, Ranking Algorithm Practices, and Business Strategy
Qunar Tech Salon
Qunar Tech Salon
Mar 13, 2020 · Artificial Intelligence

The Evolution of AutoHome Recommendation System Ranking Algorithms

This article details the architecture, model evolution, feature processing, online learning, and future optimization plans of AutoHome's recommendation system, covering stages from resource collection to ranking, various models such as LR, XGBoost, FM, DeepFM, and operational practices like AB testing and debugging.

feature engineeringmachine learningonline learning
0 likes · 18 min read
The Evolution of AutoHome Recommendation System Ranking Algorithms