Feed and news personalization
Review and score content feeds based on user preferences, relevance signals, topic interests, and personalization quality.
Evaluate queries, rankings, snippets, feeds, entities and multimedia results for relevance, usefulness, trust and Vietnamese market fit.
Relevance rubrics are aligned with your search surface, user intent, local market, content types and ranking goals.
Review and score content feeds based on user preferences, relevance signals, topic interests, and personalization quality.
Review, validate, and tag business listings, named entities, metadata, and key attributes to improve search accuracy and discoverability.
Review how well ads, captions, and promotional content align with search queries, page context, and user expectations.
Evaluate search engine results to ensure the most useful, accurate, and intent-matched content is presented to users.
Review search results for local language, cultural expectations, regional relevance, and market-specific user intent.
Evaluate how well search queries are understood, including user intent, synonyms, misspellings, ambiguity, and contextual meaning.
Compare two or more search results to determine which result better matches the user’s query, intent, and expected outcome.
Evaluate page previews, snippets, titles, descriptions, and layout signals for relevance, clarity, and usefulness.
Label products, documents, and content into meaningful categories to improve search, filtering, recommendations, and user experience.
Assess image, video, audio, and multimodal search results against text queries to ensure visual and media relevance.
Identify outdated, low-quality, misleading, duplicate, or unreliable results that may reduce search quality and user trust.
We account for local phrasing, misspellings, ambiguity, geography, culture and content expectations across search surfaces.
A calibrated workflow turns user intent and result quality into comparable relevance signals.
Align query types, result surfaces, rating scales, locales and quality thresholds.
Review representative queries, results, snippets, feeds and entities.
Resolve rating differences and identify intent, ranking and trust failures.
Deliver relevance metrics, examples, segment findings and ranking comparisons.
Share your query set, search surface and relevance goals. We’ll propose a focused evaluation plan.
Discuss a search evaluation pilot ↗