Advertisements TRIZ Cases

A 3D system detects persistent video objects, retrieves matching models, and overlays them for interactive viewing.

This case uses dynamic micropayments to suppress scheduled ads and insert relevant content without disrupting playback or provider revenue.

Distributed pods personalize content in real time while reducing centralized processing delays.

This case uses re-encryption, sampling, and differential privacy noise to reduce PSI cost without exposing complete data sets.

This case transfers linked page display to a second device, avoiding manual app switching and preserving first-device operation.

Background caching and selective bidding prepare high-priority media for OTT loading events without repeated launch-time retrieval.

This case selects and stitches localized supplemental content before or during streaming, protecting privacy and reducing energy use.

This case combines language and logic-rule models to classify, filter, and sort diverse campaign messages for tailored browsing.

Scene-level metadata and generative AI match and stitch contextual ads into video, reducing disruptive ad placement.

Infrared ABTT sensing enables rapid, non-contact brain temperature readings.

Scene-level metadata and vector matching help generative AI place or superimpose contextually relevant ads at suitable moments.

This case uses synchronized local ledgers and cryptographic verification to streamline ad transactions and support fair market valuation.

Local message storage triggers in-app prompts when user activity meets defined conditions.

This case links vehicle trips to insurance units, enabling added coverage and credits for unused units without coverage gaps.

Priority indicators and forecasted metrics automate data allocation, reducing subjective decisions across competing goals and constraints.

Speech-selected ads are overlaid on environment-relevant virtual objects, preserving immersion while improving contextual relevance.

This VTO approach presents pre-rendered model images while the user image engine readies, reducing communication and download delays.

Separate graphic delivery lets client devices personalize and render overlays without adaptive streaming degrading quality.

Different ad structures demand manual recoding; an abstraction layer replicates logic campaigns and maps changes across physical platforms.

A gateway selects source-specific rules and trigger-based frame analysis to measure content across diverse media inputs.

A media guidance application matches user profiles and engagement with media segments to personalize advertisement timing.

Category templates standardize service pages and simplify maintenance.

Event identifiers are aggregated before pushing, reducing communication overhead and easing advertiser terminal request pressure.

Vehicle identification and event inputs filter educational content for self-diagnosis, reducing reliance on roadside assistance.

Content is matched to audience segments, then players are selected by metric thresholds to improve placement and reduce viewer fatigue.

A cloud intermediary renders interactive secondary content for each client platform, reducing native app development complexity.

Dual ML models recommend campaign change types and magnitudes, reducing manual adjustment time.

The case uses page display-duration statistics and feedback to adapt recommendation positions for accurate, timely delivery.

This case uses predefined templates and configurable modules to tailor service pages by category while simplifying updates and maintenance.

Entities submit secret shares for MPC analysis, combining result shares to protect privacy while reducing noise and processing delay.

Dynamic echo and attenuation improve targeted audio in virtual reality.

Conversion probabilities and cross-publisher impression data adapt campaign caps, reducing repeated ads and wasted budget.

A prompted, distilled model generates headlines and descriptions in a conversational interface, reducing input steps and user error.

Statistical analysis of page display durations positions recommendation information to match the user's actual reading pace.

A mobile app and network server organize media messages for viewing, scheduling, payment, and coordinated streaming.

Multiple electronic wallets enforce real-time feature policies and spending limits while preserving access to critical services.

This case unifies responsive ad campaigns that evolve across devices and user events, reducing multi-screen management complexity.

Select replacement ad segments using remaining views and impressions to protect campaign guarantees.

Globe grid coding unifies heterogeneous access, verifies disseminators, and supports income distribution across industrial code servers.

This case combines AR spatial galleries with blockchain verification to improve NFT discovery, viewing, and purchase.

API integration unifies petcare records and delivers personalized recommendations.

Camera-derived customer features are processed locally to match promotions with store merchandise while protecting personal information.

This case shows how a global redirect server adapts affiliate links to regional networks and preserves analytics and commission tracking.

Sensor data is classified by hygiene category and activity type, enabling impact-based suggestions before poor practices develop.

Real-time NLP extracts tasks from member-representative messages, delegates proposals, and learns preferences to improve recommendations.

Aggregate conversion, order value, and lift scores for secure market comparisons.

Sequential odds-ratio modeling and alignment circuitry reconcile panel, census, and platform data into consistent unique audience estimates.

An intelligent background agent waits for activity triggers before requesting and displaying media, helping preserve engagement.

Broad ad matching can reduce relevance; specification correlation refines candidates from browsing and unpurchased products.

Probabilistic device linking combines network activity for more relevant content selection.