long-tail | BestHub

Alimama Tech

Sep 12, 2023 · Artificial Intelligence

Content Collaborative Graph Neural Network for Large‑Scale E‑commerce Search

CC‑GNN addresses three drawbacks of existing graph‑neural retrieval for e‑commerce by adding content phrase nodes, scalable meta‑path message passing, and difficulty‑aware noisy contrastive learning with counterfactual augmentation, achieving up to 16 % recall improvement and notably larger gains on long‑tail queries and cold‑start items.

Cold StartGraph Neural Networkscontent collaboration

0 likes · 19 min read

Content Collaborative Graph Neural Network for Large‑Scale E‑commerce Search

Didi Tech

Aug 12, 2020 · Databases

Douyin ElasticSearch Write Performance Optimization: Doubling Throughput and Reducing Write Rejections

By consolidating each bulk request onto a single shard, tuning node write paths, and pruning unnecessary fields, Douyin’s ElasticSearch team eliminated long‑tail latency, more than doubled write throughput to over 1 million ops per second, slashed write rejections, and saved millions in infrastructure costs.

Bulk RequestElasticsearchOptimization

0 likes · 18 min read

Douyin ElasticSearch Write Performance Optimization: Doubling Throughput and Reducing Write Rejections

DataFunTalk

Nov 25, 2019 · Artificial Intelligence

Real-time Attention-based Look-alike Model for Recommender Systems

This talk presents a real-time attention-based look‑alike model (RALM) designed to address the long‑tail problem in recommendation systems by efficiently expanding seed users, leveraging user representation learning, attention mechanisms, and clustering to deliver timely, diverse content without retraining the model.

AttentionClusteringlong-tail

0 likes · 24 min read

Real-time Attention-based Look-alike Model for Recommender Systems