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Machine Heart
Machine Heart
May 13, 2026 · Artificial Intelligence

Zero‑Cost Upgrade: OneSearch‑V2 Launches Generative Search, Boosting Buyers and Orders

OneSearch‑V2 introduces a zero‑cost generative search upgrade that leverages latent‑reasoning‑enhanced self‑distillation, thought‑augmented query understanding, and behavior‑feedback preference alignment, delivering offline HitRate gains of up to 2.68 % and online CTR, buyer and order increases of roughly 4 %, 2 % and 2 % respectively.

AI RankingBehavioral FeedbackGenerative Search
0 likes · 24 min read
Zero‑Cost Upgrade: OneSearch‑V2 Launches Generative Search, Boosting Buyers and Orders
Wu Shixiong's Large Model Academy
Wu Shixiong's Large Model Academy
Mar 13, 2026 · Artificial Intelligence

Why Every RAG System Needs Smart Query Understanding and Routing

The article explains how diverse user queries in a RAG‑based insurance system require intent classification, entity extraction, and multi‑path routing to choose between vector search, calculation, database lookup, or chit‑chat, and outlines practical rule‑ML‑LLM hybrid solutions with safety safeguards.

LLMQuery UnderstandingRAG
0 likes · 11 min read
Why Every RAG System Needs Smart Query Understanding and Routing
DaTaobao Tech
DaTaobao Tech
Oct 18, 2023 · Artificial Intelligence

Large Model Application Challenges for E-commerce

Taobao Group’s ten large‑model e‑commerce challenges call for researchers to build domain‑specific data pipelines, mitigate forgetting, balance expertise with generality, enable multi‑step reasoning, handle long contexts, reduce hallucinations, integrate tool use, improve fuzzy intent detection, apply multi‑objective RLHF, and generate cognitively novel recommendations.

Query UnderstandingRLHFknowledge hallucination
0 likes · 14 min read
Large Model Application Challenges for E-commerce
DataFunTalk
DataFunTalk
Dec 9, 2022 · Artificial Intelligence

POI Recognition and Alias Linking in Travel Search: Challenges, Algorithmic Practices, and Online Impact

The article presents a comprehensive study of POI (point‑of‑interest) recognition and alias linking within travel search, detailing background challenges, a multi‑stage algorithmic framework, extensive offline experiments, and the resulting improvements in online conversion and relevance.

Alias LinkingNLPPOI Recognition
0 likes · 14 min read
POI Recognition and Alias Linking in Travel Search: Challenges, Algorithmic Practices, and Online Impact
Hulu Beijing
Hulu Beijing
May 18, 2022 · Artificial Intelligence

How Hulu Optimizes Video Search for TV Remotes and Short Queries

This article examines Hulu's video search engine, highlighting challenges such as ensuring relevance beyond text matching, handling ultra‑short queries on TV remotes, addressing content gaps, and integrating AI‑driven query understanding, retrieval, and ranking to improve user experience.

HuluQuery Understandinginformation retrieval
0 likes · 7 min read
How Hulu Optimizes Video Search for TV Remotes and Short Queries
Dada Group Technology
Dada Group Technology
Oct 29, 2021 · Artificial Intelligence

Query Understanding in JD Daojia E‑commerce Search: Architecture, Core Algorithms, and Experimental Results

This article presents a comprehensive overview of JD Daojia's query understanding system for e‑commerce search, detailing its overall architecture, core modules such as tokenization, term weighting, query rewriting, intent detection, the algorithms employed, experimental evaluations, and future directions.

Query Understandingnatural language processingsearch engine
0 likes · 27 min read
Query Understanding in JD Daojia E‑commerce Search: Architecture, Core Algorithms, and Experimental Results
DataFunSummit
DataFunSummit
Jul 25, 2021 · Artificial Intelligence

Advances in Query Understanding and Semantic Retrieval at Zhihu Search

This article details Zhihu Search's engineering solutions for long‑tail query challenges, covering historical development, term weighting, synonym expansion, query rewriting with reinforcement learning, and semantic recall using BERT‑based models, while also outlining future research directions such as GAN‑based rewriting and lightweight pre‑training.

BERTEmbedding RetrievalQuery Rewriting
0 likes · 14 min read
Advances in Query Understanding and Semantic Retrieval at Zhihu Search
DataFunTalk
DataFunTalk
May 7, 2020 · Artificial Intelligence

Comprehensive Overview of Query Understanding in Search Engines

Query understanding (QU) involves lexical, syntactic, and semantic analysis of user queries to enable effective search recall and ranking, covering modules such as preprocessing, correction, expansion, segmentation, intent detection, term importance, and guidance, with detailed discussion of algorithms, models, and system architecture.

NLPQuery Understandinginformation retrieval
0 likes · 51 min read
Comprehensive Overview of Query Understanding in Search Engines
DataFunTalk
DataFunTalk
Jan 2, 2020 · Artificial Intelligence

Improving Zhihu Search: Query Understanding, Term Weighting, Synonym Expansion, Query Rewriting, and Semantic Retrieval

This article details Zhihu's search engineering advances over the past year, covering long‑tail query challenges, term‑weight calculation, synonym expansion, query rewriting with translation models and reinforcement learning, and semantic retrieval using BERT‑based embeddings, while outlining future research directions.

NLPQuery RewritingQuery Understanding
0 likes · 14 min read
Improving Zhihu Search: Query Understanding, Term Weighting, Synonym Expansion, Query Rewriting, and Semantic Retrieval
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.

Knowledge GraphNLPQuery Understanding
0 likes · 16 min read
Query Understanding and Intent Recognition in Search: Methods, Taxonomy, and Applications
DataFunTalk
DataFunTalk
Apr 19, 2019 · Artificial Intelligence

E-commerce Search and User Guidance: Concepts, Techniques, and Product Design

This article examines the role of search as a user guidance channel in e-commerce, outlining product requirements, user flow stages, and various algorithmic solutions—including query understanding, suggestion, rewriting, retrieval, and ranking—while also comparing implementations across major Chinese platforms.

Query UnderstandingSearche‑commerce
0 likes · 29 min read
E-commerce Search and User Guidance: Concepts, Techniques, and Product Design