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DeWu Technology
DeWu Technology
Sep 23, 2024 · Operations

Packaging Material Recommendation Algorithms for E‑commerce Fulfillment

The article presents a packaging‑material recommendation system for e‑commerce fulfillment that uses rule‑based filters and a three‑dimensional bin‑packing algorithm—both exact integer programming and fast heuristics—to select the smallest suitable box or bag, enabling cost reduction, better space utilization, and lower damage rates through applications such as box‑cutting, order merging, box‑type redesign, and AI‑driven protective‑packaging matching.

Operations ResearchRecommendation Algorithmbin packing
0 likes · 10 min read
Packaging Material Recommendation Algorithms for E‑commerce Fulfillment
Architecture Digest
Architecture Digest
Jun 2, 2023 · Artificial Intelligence

Overview of Twitter's Open‑Source Recommendation Algorithm

Twitter has open‑sourced its core recommendation algorithm, detailing its candidate sources, in‑network and out‑of‑network ranking models, graph‑based and embedding methods, and a comprehensive list of components that power the home timeline, with links to the GitHub repositories and engineering blog.

Recommendation AlgorithmTwitterartificial intelligence
0 likes · 10 min read
Overview of Twitter's Open‑Source Recommendation Algorithm
Top Architect
Top Architect
Apr 4, 2023 · Artificial Intelligence

Overview of Twitter's Open‑Source Recommendation Algorithm Architecture

Twitter has open‑sourced its recommendation algorithm, detailing a complex pipeline of candidate sources, graph‑based models, embedding techniques, and ranking services that together generate personalized home‑timeline tweets for users.

Recommendation AlgorithmTwitterarchitecture
0 likes · 9 min read
Overview of Twitter's Open‑Source Recommendation Algorithm Architecture
Programmer DD
Programmer DD
Apr 4, 2023 · Artificial Intelligence

Inside Twitter’s Open‑Source Recommendation Engine: How It Ranks Your Timeline

Twitter has finally open‑sourced most of its recommendation algorithm, revealing a three‑stage pipeline that gathers top tweets, ranks them with machine‑learning models, and filters out unwanted content, while also exposing the massive graph data and ranking signals that power the For You timeline.

Recommendation AlgorithmTwittermachine learning
0 likes · 11 min read
Inside Twitter’s Open‑Source Recommendation Engine: How It Ranks Your Timeline
21CTO
21CTO
Apr 1, 2023 · Artificial Intelligence

Inside Twitter’s Open‑Source Recommendation Engine: How Tweets Are Ranked

Twitter has released the source code of its recommendation algorithm, revealing a three‑stage pipeline that collects, ranks with machine‑learning models, and filters tweets to balance content from followed and unfollowed accounts while optimizing for user engagement.

Recommendation AlgorithmTwitterartificial intelligence
0 likes · 5 min read
Inside Twitter’s Open‑Source Recommendation Engine: How Tweets Are Ranked
Meitu Technology
Meitu Technology
Mar 11, 2016 · Artificial Intelligence

Meipai Personalized Recommendation Technology Journey

As Meipai’s user base exploded, the platform shifted from manual curation to sophisticated personalized recommendation algorithms—leveraging machine‑learning and data‑mining techniques, iterating through multiple generations, overcoming scalability and relevance challenges, and delivering rapid solutions that inspire future recommendation system designs.

MeipaiRecommendation Algorithmalgorithm evolution
0 likes · 1 min read
Meipai Personalized Recommendation Technology Journey
21CTO
21CTO
Oct 1, 2015 · Fundamentals

Why a 9‑point Film with 100 Votes Beats an 8‑point Film with 10,000 Votes

This article examines the shortcomings of traditional Bayesian‑based movie ranking formulas, illustrates how vote count biases affect rankings, and proposes a new approach that classifies films into audience segments and incorporates longevity metrics to produce more universally appealing and enduring top‑250 lists.

Recommendation Algorithmalgorithm designbayesian average
0 likes · 13 min read
Why a 9‑point Film with 100 Votes Beats an 8‑point Film with 10,000 Votes