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HomeTech
HomeTech
Nov 20, 2019 · Artificial Intelligence

Query Understanding and Intent Recognition in Search: Methods, Taxonomy, and Applications

This article explains how query understanding (QP) transforms user search queries into structured semantic blocks and intent categories using rule‑based NLP, entity recognition, and post‑processing, and describes its taxonomy, implementation details, and practical impact on search engine results.

NLPSearch Engineintent recognition
0 likes · 16 min read
Query Understanding and Intent Recognition in Search: Methods, Taxonomy, and Applications
Xianyu Technology
Xianyu Technology
Sep 27, 2018 · Backend Development

SWAK: A Swiss‑Army‑Knife‑Style Multi‑Implementation Framework for Xianyu Backend

SWAK is a lightweight, Spring-compatible framework that treats product type, category, and region tags as rules, registers multiple implementations during startup, and at runtime selects the appropriate one via priority and reduction, eliminating tangled if-else code, improving reuse, onboarding, and performance for Xianyu’s backend.

BackendJavaSpring
0 likes · 10 min read
SWAK: A Swiss‑Army‑Knife‑Style Multi‑Implementation Framework for Xianyu Backend
Ctrip Technology
Ctrip Technology
May 6, 2017 · Artificial Intelligence

Product Matching in E‑commerce: Rule‑based, Feature‑Engineering, and Pure Data‑driven Approaches Using Factorization Machines

This article examines e‑commerce product matching, comparing rule‑based methods, feature‑engineering models, and a pure data‑driven Factorization Machine approach, detailing their advantages, challenges, training techniques, and successive optimizations to improve matching accuracy and operational efficiency.

Factorization MachinesFeature Engineeringe-commerce
0 likes · 12 min read
Product Matching in E‑commerce: Rule‑based, Feature‑Engineering, and Pure Data‑driven Approaches Using Factorization Machines