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Travel

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Model Perspective
Model Perspective
Apr 12, 2024 · Fundamentals

Can Bayesian Reasoning Predict Your Chance of Spotting Sea Turtles in Phuket?

The author recounts a Phuket trip to see sea turtles and demonstrates how Bayesian updating, using prior guide data and new evidence such as season and weather, can estimate the probability of spotting turtles, illustrating the method with a concrete example.

Marine BiologyTravelbayesian
0 likes · 5 min read
Can Bayesian Reasoning Predict Your Chance of Spotting Sea Turtles in Phuket?
DataFunSummit
DataFunSummit
Jan 19, 2022 · Artificial Intelligence

Feizhu Information Flow Content Recommendation: Architecture, Cold-Start Strategies, Multi-Modal Understanding, and Ranking Mechanisms

This article presents a comprehensive overview of Feizhu's information‑flow recommendation system, detailing its mixed‑material architecture, cold‑start recall and coarse‑ranking techniques, multi‑modal pre‑training and fine‑tuning, fine‑ranking with user‑state gating, and tiered traffic‑flow mechanisms for content delivery.

Cold StartRankingTravel
0 likes · 17 min read
Feizhu Information Flow Content Recommendation: Architecture, Cold-Start Strategies, Multi-Modal Understanding, and Ranking Mechanisms
DataFunSummit
DataFunSummit
Sep 3, 2021 · Artificial Intelligence

Personalized Marketing Platform for Travel: Architecture, Algorithms, and Cold‑Start Solutions at Alibaba Fliggy

This article presents Alibaba Fliggy's personalized marketing platform for travel, detailing its multi‑scene architecture, user‑session modeling, graph‑based recommendation algorithms, cold‑start strategies, cross‑domain user mapping, and a hierarchical travel‑play tag system that together enable large‑scale, real‑time, thousand‑person‑one‑face marketing.

Cold StartTravelgraph neural network
0 likes · 20 min read
Personalized Marketing Platform for Travel: Architecture, Algorithms, and Cold‑Start Solutions at Alibaba Fliggy
DataFunTalk
DataFunTalk
Feb 3, 2021 · Artificial Intelligence

Travel Search Technology and Innovations at Alibaba Feizhu

This article presents an in‑depth overview of Alibaba Feizhu's travel‑scene search system, covering its background, architecture, query understanding, tagging, POI mining, synonym extraction, recall strategies, model designs, performance results, and future directions for personalization and explainability.

AINLPSearch
0 likes · 18 min read
Travel Search Technology and Innovations at Alibaba Feizhu
DataFunTalk
DataFunTalk
Aug 23, 2020 · Artificial Intelligence

Optimizing Recall in Travel Recommendation Systems: Challenges and Solutions at Alibaba's Fliggy

This article explains how Fliggy's travel recommendation platform tackles recall challenges such as cold‑start users, sparse behavior, itinerary‑specific needs, and periodic repurchase by applying user‑attribute models, graph embeddings, dual‑tower architectures, session‑based methods, and statistical repurchase forecasting to improve candidate selection and overall recommendation performance.

Cold StartTravelgraph embedding
0 likes · 16 min read
Optimizing Recall in Travel Recommendation Systems: Challenges and Solutions at Alibaba's Fliggy
DataFunTalk
DataFunTalk
Aug 3, 2020 · Artificial Intelligence

Personalized Marketing Platform for Travel Scenarios: Architecture, Algorithms, and Cold‑Start Solutions at Alibaba Fliggy

This article presents Alibaba Fliggy's personalized marketing platform for travel, detailing its architecture, scenario and functional abstractions, user‑modeling pipelines, full‑stack traffic control, cold‑start techniques, cross‑domain mapping, heterogeneous graph modeling, and a hierarchical travel‑play tag system to achieve thousand‑person‑one‑face recommendation across daily and promotional scenes.

Cold StartTravelgraph neural network
0 likes · 22 min read
Personalized Marketing Platform for Travel Scenarios: Architecture, Algorithms, and Cold‑Start Solutions at Alibaba Fliggy
Ctrip Technology
Ctrip Technology
May 8, 2017 · Artificial Intelligence

Ctrip CTO Gan Quan on Building a Data‑Driven Personalized Recommendation System

The article details Ctrip CTO Gan Quan’s insights on how the travel platform leverages a comprehensive big‑data infrastructure, AI‑driven algorithms, and real‑time user behavior tracking to deliver personalized travel recommendations, improve conversion rates, and shorten user decision cycles across multiple business lines.

AICtripTravel
0 likes · 18 min read
Ctrip CTO Gan Quan on Building a Data‑Driven Personalized Recommendation System
Ctrip Technology
Ctrip Technology
Sep 19, 2016 · Artificial Intelligence

Personalized Demand Prediction and Ranking for Qunar's "Guess You Like" Feature

This article describes Qunar's personalized demand prediction system for the "Guess You Like" card, detailing how user‑demand associations are mined via rule engines, collaborative filtering, LBS and manual rules, and how ranking models evolve from subjective Bayes to RankBoost and LambdaMart, with experimental evaluation and future LSTM plans.

AIRankingTravel
0 likes · 10 min read
Personalized Demand Prediction and Ranking for Qunar's "Guess You Like" Feature