AYandex commerce ranking
Boundary: Personalized transaction ranking and recommender-style reranking for commerce surfaces.
Evidence: src_yandex_ecommerce_ranking, company_yandex_ranking
TOP3 core ideas
- Ranking quality depends on user activity and context, not only query relevance.
- Transformer-based ranking can be used in two-stage commerce recommendation/ranking flows.
- The resource should be evaluated through task definition, baseline, metric and online effect fields.
Hard facts
- arXiv metadata ready
- representative analysis ready
- full paper extraction pending
Risk/gap: No metric table or full-text experiment extraction yet.
taskfeaturesmodelbaselineoffline metricsonline metrics
AYambda-5B dataset
Boundary: Large-scale multi-modal ranking and retrieval benchmark asset.
Evidence: src_yambda_5b, company_yandex_yambda
TOP3 core ideas
- Dataset depth is stronger than platform-name evidence.
- Multiple feedback types and temporal behavior are central to recommendation evaluation.
- A benchmark card must record scale, fields, tasks, license and download path.
Hard facts
- metadata reports billion-scale interactions
- representative analysis ready
- dataset field extraction pending
Risk/gap: License, field dictionary and download endpoint still need hard extraction.
scalemodalitiesfeedback typessplit protocollicensedownload URL
AVK-LSVD
Boundary: Industrial short-video recommendation benchmark and data asset.
Evidence: src_vk_lsvd, company_vk_lsvd
TOP3 core ideas
- Short-video recommendation needs sequence and interest-drift modeling.
- Industrial data should include user-video interactions, content features and context.
- Benchmark evidence gives VK a deeper role than generic social/video platform evidence.
Hard facts
- arXiv metadata ready
- representative analysis ready
- challenge/data page pending
Risk/gap: Need full-text task and field extraction before calling it a complete benchmark card.
interaction schemavideo featurescontext fieldstasksmetricslicense
A2GIS local discovery promotion
Boundary: Local intent, merchant discovery and map/directory promotion surface.
Evidence: src_2gis_ads_candidate, company_2gis_local_discovery
TOP3 core ideas
- Local discovery is a distinct search-promo intent layer.
- Merchant promotion must be decomposed into visibility, location and action conversion.
- Regional fit is part of the capability boundary, not an afterthought.
Hard facts
- official page snapshot ready
- representative analysis ready
- format/case extraction pending
Risk/gap: No pricing, format, city coverage or customer case extraction yet.
product formatsmerchant workflowcoveragepricingcase studiesconversion actions
A-candidateWB seller promotion
Boundary: Seller-facing marketplace promotion operation and product education surface.
Evidence: extra_wb_promo_instructions, company_wb_promotion
TOP3 core ideas
- Seller workflow is a hard fact for marketplace promotion capability.
- Dynamic pages may require CDP supplement rather than HTTP-only snapshots.
- Marketplace promotion should be paired with search-quality and fairness risk analysis.
Hard facts
- official seller page ready
- CDP supplement ready
- representative analysis ready
Risk/gap: Need section-level extraction and comparison with other marketplace sources.
promotion typesentry pointsseller rulesquality controlscost/metric fieldsrisk notes