Airbnb's Attribute Prioritization System: Machine Learning for Extracting Guest Preferences from Unstructured Text

Airbnb’s Attribute Prioritization System uses a machine‑learning pipeline called LATEX to extract and map guest‑mentioned amenities, activities and places from reviews, messages and tickets, then predicts and ranks the most important attributes per listing, giving hosts personalized suggestions to improve listings and match traveler needs.

AirbnbNERNLP

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Airbnb's Attribute Prioritization System: Machine Learning for Extracting Guest Preferences from Unstructured Text

DataFunTalk

Dec 29, 2021 · Artificial Intelligence

Entity Alignment in Product Knowledge Graphs: Techniques and Applications

This article presents a comprehensive overview of building and applying product knowledge graphs for e‑commerce, covering background, recent advances in graph neural network‑based entity alignment, online prediction pipelines, data construction, evaluation metrics, attribute extraction, and future research directions.

Graph Neural NetworkKnowledge Graphattribute extraction

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Entity Alignment in Product Knowledge Graphs: Techniques and Applications

NetEase Smart Enterprise Tech+

Nov 11, 2021 · Artificial Intelligence

Transforming B2B Customer Service: Table QA via Multi‑Turn Dialogue

This article explores how table‑based question answering can be integrated into B2B intelligent customer service by converting table queries into entity‑attribute recognition and multi‑turn dialogue, comparing end‑to‑end NL2SQL and slot‑filling approaches, and presenting NetEase Qiyu's practical implementation with its benefits and use cases.

NL2SQLNLPattribute extraction

0 likes · 10 min read

Transforming B2B Customer Service: Table QA via Multi‑Turn Dialogue

Xianyu Technology

Jan 19, 2021 · Artificial Intelligence

How Xianyu Extracts Second‑Hand Product Attributes with Albert‑Tiny and StructBert

This article analyzes Xianyu's second‑hand attribute extraction pipeline, detailing the challenges of sparse product data, the decomposition into NER and classification tasks, the use of Albert‑Tiny, StructBert and regex methods, deployment strategies, evaluation results, and future directions.

ALBERTInformation ExtractionNLP

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How Xianyu Extracts Second‑Hand Product Attributes with Albert‑Tiny and StructBert

Tencent Cloud Developer

Sep 1, 2019 · Artificial Intelligence

Fundamentals and Practical Implementation of Knowledge Graphs and Attribute Extraction

The article surveys the evolution and core components of knowledge graphs—from early Linked Data concepts to modern semantic networks—detailing the end‑to‑end pipeline of data acquisition, cleaning, extraction, and fusion, and showcases Tencent Cloud’s Merak framework and encyclopedia KG, highlighting model choices, performance benchmarks, and real‑world applications such as recommendation and intelligent Q&A.

AIBERTKnowledge Graph

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Fundamentals and Practical Implementation of Knowledge Graphs and Attribute Extraction