We run keyword rules, a TF-IDF classifier, and sentence-vector nearest-neighbor search, publishing the Chinese hotel teaching data, threshold selection, per-example predictions, and failure cases while explaining features, semantic similarity, and method selection.
Design intent labels for a hotel business: distinguish goals from slots, define positive and negative examples, clarify boundaries between inquiries and actions, and cover hierarchies, multi-label classification, unknown requests, and version migrations, with a reusable label specification included.
A hotel-assistant example explains short replies such as “1” and “Yeah,” references, slot clearing, task switching, and resumption, with a runnable state-update example and a clear explanation of the boundaries among context, state versions, and business execution.
A structured intent-recognition interface for a hotel assistant: labels and prompts, JSON Schema, response parsing, business validation, and failure handling, with a downloadable Python project that makes the boundary between offline validation and live-model evaluation explicit.
A downloadable dataset of 48 Chinese-language complex-intent examples with JSONL and CSV files, covering multiple intents, conditions, negation, coreference, short replies, and topic switches, with guidance on label boundaries, slot updates, annotation, and data splitting.
From document parsing, hybrid retrieval, and context construction to Agent state recovery, SSE resumption after disconnects, and quality evaluation, this article maps the engineering capabilities a RAG system needs to fill in as it moves toward production.
Drawing on SearchPilot's title and internal-link experiments, this post explains the pitfalls of aggregate CTR, how to segment GSC queries, how smaller sites can monitor changes, and the limits of conversion attribution, then lays out an evidence-based SEO review process.
Breaking down Ahrefs’s 515-email backlink experiment, this post distinguishes email delivery, sites that provide links, and organic citations, then presents a table for identifying citation reasons, an outreach example, and a framework for reviewing the costs of free tools and backlink campaigns.
Drawing on Plausible's growth retrospective and Bannerbear's free-tool page, this post demonstrates how to select an initial set of keywords, validate search intent, write page briefs, and decide which topics to drop.
Drawing on iCanvas's JavaScript SEO experiment and research from Vercel and MERJ, this post breaks down HTML, rendering, canonicalization, and indexing issues, then explains how to make targeted fixes and validate the results in search.