IP Service Provider Selection

Ranking and displaying service providers in search results based on availability and proximity to the service location. When a user searches for a service, the system identifies available providers, calculates distances from their business and current locations to the service site, and ranks them. This provides users with a prioritized list of providers who can actually perform the service immediately.

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Method for optimally selecting service providers in a confederated platform environment that takes into account client requirements, provider capabilities, and reliability of external data sources. The method involves receiving client requirements, analyzing available service providers based on those requirements, identifying external data sources for each provider, analyzing the reliability of those sources, adjusting provider scores based on source reliability, and then selecting the optimal providers based on the adjusted scores.

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Optimizing service provider listing and display for better matching between customers and businesses based on factors like service type, delivery times, and pricing. The system filters businesses based on suitability for service types, then sorts them based on delivery times. This helps prevent situations where a cheapest option doesn't meet urgency needs or a business that can deliver fast isn't listed as the fastest.

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Matching service consumers with providers using a centralized system. When a consumer requests provider recommendations, the system identifies providers who meet specific criteria derived from the consumer's data. It ranks them based on those criteria. It also finds nearby providers without matching criteria and ranks them based on distance and ratings. The ranked lists are combined. The system sends the full list to the consumer to choose from.

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A method for selecting network service providers for devices using a network service exchange system. The method involves receiving a request from a device with service parameters, validating the device, running a reverse auction to select a provider based on the parameters, and provisioning the device to use the chosen provider's network. The exchange system stores encrypted service profiles for multiple providers on the device's SIM card. This allows dynamic switching between providers without accessing their profiles. It simplifies provider selection by letting devices request optimal service without analyzing options.

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Dynamic matching and communication system for service providers and requestors to improve efficiency and accuracy of finding suitable providers. It involves collecting provider data, receiving requests, filtering bids based on request criteria, sending filtered bids to requesters, receiving selections, and establishing direct communication channels between the matched parties. The central server handles tasks like checking availability, location verification, reviewing, and payment processing.

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Recommending high-quality potential users to internet service providers based on their network behavior to increase user acquisition. The method involves calculating user preference scores for service providers based on their internet service sequence, preference vector, and attribute vector. These scores are then used to recommend potential users to service providers. The scores consider the user's historical services, preferences, and service attributes to determine match quality. This enables recommending users who are more likely to subscribe to specific providers.

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Using social network data to identify service providers who match requirements in requests for proposal (RFPs) and consumers who generated the RFPs. The method involves identifying providers based on overall compatibility between their capabilities and the RFP requirements, as well as network distance between the consumer and provider in the social network. Providers are ranked and selected based on this criteria. This allows targeting RFPs to relevant providers and reducing proposal overload for both parties.

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Determining the most suitable service provider for a user based on their specific service requirements. The method involves ranking multiple candidate service providers based on multiple parameter items in their profiles. An initial ranking is determined for each parameter, then final rankings are calculated based on all initial rankings. The top-ranked providers are selected as targets for the user. This allows choosing the best provider for the user's needs rather than recommending a generic list of options.

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Intelligent matching system for finding appropriate matches between entities and parameters using machine learning techniques. The system uses natural language processing, ontologies, and knowledge graphs to match entities like service providers with requested parameters. It leverages tools like TensorFlow, Keras, and Stanford CoreNLP to extract named entities, relations, and align them to contextual ontologies. The system dynamically generates questions based on contextual cues to accurately capture entity properties for matching.

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Method for efficiently utilizing resources of multiple wireless network service providers to enhance data throughput and user experience. The method involves selecting the best service provider for each communication service based on factors like signal strength, quality, congestion, etc. This allows simultaneous use of resources from multiple providers to improve overall throughput compared to sequentially switching between providers. The selection is done by analyzing network parameters and rules.

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Automated system to match service providers with service consumers and schedule services. The system identifies projects needing service, finds matching providers, and presents options to consumers for selection. It matches based on project details and scores providers further. The consumer views ranked provider info to choose and schedule services. The system uses project SKUs and locations to initially match, then scores providers based on additional criteria.

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