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DataFunSummit
DataFunSummit
Mar 30, 2022 · Artificial Intelligence

Travel Intent Prediction in E-commerce: Algorithm Strategies, Multi-Source Behavior Modeling, and Experimental Results

This article presents a comprehensive overview of travel intent prediction at Alibaba's Fliggy platform, detailing the unique challenges of low‑frequency travel behavior, multi‑source user actions, a multi‑CNN and time‑attention model design, and experimental evaluations that demonstrate improved recommendation performance.

AImulti-CNNmulti-source behavior
0 likes · 10 min read
Travel Intent Prediction in E-commerce: Algorithm Strategies, Multi-Source Behavior Modeling, and Experimental Results
DataFunTalk
DataFunTalk
Feb 18, 2022 · Artificial Intelligence

Travel Intent Prediction in E-commerce: Algorithm Strategies, Multi‑source Behavior Modeling, and Model Design

This talk presents Alibaba's travel intent prediction system, detailing the unique challenges of low‑frequency, multi‑source travel behavior, the multi‑granular CNN and time‑attention model architecture, experimental comparisons with baselines, and how integrated user interest modeling improves recommendation performance.

Attentiondeep learningmachine learning
0 likes · 11 min read
Travel Intent Prediction in E-commerce: Algorithm Strategies, Multi‑source Behavior Modeling, and Model Design