Specifies data preparation, query processing, retrieval or decision logic, interfaces, scoring where relevant, and fallbacks for personalization. It fixes adoption boundaries and observable failure evidence while keeping environment-specific limits configur...
Package status: reference context ready for human review. The contract and test scenarios are complete, but no claim is made that an adopting implementation has passed them.
Decision
For Personalization, adopt a versioned relevance contract evaluated on representative judgments. Use one owned boundary, explicit state model, and versioned interfaces; keep policy decisions separate from adapters and side effects. This architecture block focuses specifically on system implementation. This package is a reference contract: the adopting team must choose numeric limits, providers, jurisdictions, and operational owners from evidence in its own environment.
Scope
- The Personalization actors, inputs, outputs, states, policy or schema versions, and externally visible outcomes required for the system implementation focus of this architecture block.
- Primary and alternate interfaces, background work, caches, integrations, support paths, and evidence that can exercise the same boundary.
- Adoption-specific configuration, rollout, recovery, and verification responsibilities needed to apply the reference safely.
Outside this block
- Choosing a universal vendor, framework, jurisdiction, numeric threshold, retention period, or service-level objective for every adopter.
- Claiming that packaged scenarios have run against a downstream implementation or that this reference grants legal, security, or accessibility certification.
Contract
- Define query interpretation, candidate eligibility, ranking signals, tie-breaking, filters, and fallback independently of one search engine.
- Apply tenant, entitlement, visibility, and deletion rules before returning hits, snippets, suggestions, facets, or total counts.
- Version source records, index documents, analyzers, ranking configuration, and evaluation sets so changes are attributable.
- Measure quality by intent segment and protect latency, error, freshness, and zero-result guardrails during relevance experiments.
- Document component ownership and allowed dependency direction, including which data may cross each boundary.
- Make synchronous, asynchronous, and batch paths implement the same authority and state invariants.
- Define eligible signals, subject and tenant scope, consent, purpose, feature computation, freshness, decay, cold-start, exploration, exclusion, and profile version behind every personalized decision.
- Measure utility beside relevance, diversity, safety, privacy, latency, and group effects, expose meaningful controls and reset, and provide a bounded non-personalized fallback when signals are missing or withdrawn.
- For the system implementation variant, enforce this declared boundary: specifies data preparation, query processing, retrieval or decision logic, interfaces, scoring where relevant, and fallbacks for personalization.
Implementation guidance
- Start with the domain state and interface contract, then attach adapters, storage, queues, and provider-specific code.
- Model Personalization inputs, outputs, actors, states, invariants, side effects, and evidence before selecting framework or vendor details.
- Store the applicable Personalization contract or policy version with material state so migrations, replay, and support decisions remain attributable.
- Introduce the path behind controlled rollout, compare expected and observed outcomes, and keep a tested recovery route until adoption evidence is complete.
Failure handling and safeguards
- Invalid filters or unavailable required indexes return a clear bounded failure; optional enrichments may degrade only when declared non-authoritative.
- Invalid or contradictory Personalization state is rejected or quarantined; the implementation never guesses a value that broadens authority or duplicates an effect.
- Retries are bounded and use durable identity; after exhaustion, work reaches an inspectable terminal state with an accountable owner.
Verification and operations
- Exercise the contract through each adapter and prove that a failed dependency cannot bypass the authoritative boundary.
- Monitor Personalization success, denial, validation failure, dependency failure, retry exhaustion, and recovery by contract version without sensitive payload dimensions.
- Re-run paired positive and negative fixtures after policy, schema, dependency, migration, or boundary changes and preserve the resulting evidence.
Adoption assumptions
- Names and values in the example are a concrete fixture, not universal defaults; adopters replace them through documented evidence and ownership.
- The adopting system can provide authenticated identity, durable operation or record versions, bounded telemetry, and a controlled path for change.
The executable-looking examples in this package are fixtures and acceptance contracts. Run the collection validator to check structure and metadata, then translate and execute the scenarios in the target repository before recording implementation evidence.