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Yuewen Technology
Yuewen Technology
Nov 10, 2020 · Artificial Intelligence

Modeling Web Novel Popularity with Predictive Ranking and Statistical Fusion

This article explains how a binary‑classification model combining estimated future behavior and statistical data is used to compute a unified popularity score for web novels, improving both recall and ranking in search and library scenarios while addressing challenges of cold‑start and long‑tail items.

LambdaMARTLightGBMRecommendation systems
0 likes · 9 min read
Modeling Web Novel Popularity with Predictive Ranking and Statistical Fusion
Qunar Tech Salon
Qunar Tech Salon
Jan 13, 2016 · Artificial Intelligence

Ranking Learning in Mobile Taobao: Challenges, Solutions, and Improvements

This article presents a comprehensive overview of ranking learning techniques used in Mobile Taobao's recommendation system, covering problem definition, pointwise/pairwise/listwise approaches, feature engineering, online learning, industry applications, and future optimization strategies.

CTR predictionLambdaMARTRanking
0 likes · 8 min read
Ranking Learning in Mobile Taobao: Challenges, Solutions, and Improvements
Architects Research Society
Architects Research Society
Oct 16, 2015 · Artificial Intelligence

From RankNet to Boosted Decision Trees: Evolution of Bing’s Search Ranking Algorithms

Chris Burges recounts Microsoft’s transition from the early “Flying Dutchman” system to RankNet and finally to Boosted Decision Trees, explaining how fast experimentation, LambdaRank/MART innovations, and large‑scale data handling have dramatically improved Bing’s search ranking accuracy and efficiency.

Boosted Decision TreesLambdaMARTRankNet
0 likes · 11 min read
From RankNet to Boosted Decision Trees: Evolution of Bing’s Search Ranking Algorithms