Wilson-interval

Xueersi Online School Tech Team

Jan 8, 2021 · Artificial Intelligence

Design and Implementation of a Rule‑Based and Collaborative‑Filtering Recommendation System for an Educational App

This article describes the business background, cold‑start challenges, rule‑based recall pipeline, Wilson interval and time‑decay scoring methods, item‑based collaborative filtering implementation with code, and experimental results that improved click‑through rates for the 学而思网校 educational application.

A/B-testWilson-intervalcold start

0 likes · 12 min read

Design and Implementation of a Rule‑Based and Collaborative‑Filtering Recommendation System for an Educational App

37 Interactive Technology Team

Jul 12, 2018 · Artificial Intelligence

Tag‑Based Precise Advertising Recommendation Algorithm for Low‑Volume Channels

The paper presents “Xianzhi,” a tag‑based precise advertising recommendation algorithm for low‑traffic channels that combines artist‑created material tags, cookie‑derived user tags, and confidence‑adjusted tag‑CTR matrices—enhanced by Wilson intervals, time‑window weighting, dimension aggregation, and objective weighting—to alleviate data sparsity and cold‑start issues, achieving roughly a 10 % CTR lift in online A/B tests.

Wilson-intervaladvertising recommendationclick‑through rate

0 likes · 13 min read

Tag‑Based Precise Advertising Recommendation Algorithm for Low‑Volume Channels