Method and System for Recommending Contextual Information on a Mobile Communication Network

Simple SummaryContent extracted from patent full text and abstract with AI.

This invention presents a method and system for efficiently gathering and recommending contextual information (such as images, video, or sensor data) in mobile communication networks through participatory sensing. When a mobile user requests information about a specific event or location, the network forwards that request to nearby smartphones. These phones autonomously decide whether or not to contribute data using a mathematical approach called the Gur Game, aiming to optimize both energy use and information quality. Responses are combined by the network, and only the best, most relevant information is sent back to the requester, with incentives for participants managed dynamically.

Use CasesContent extracted from patent full text and abstract with AI.

• Crowdsourced reporting of traffic, environmental conditions, or public events using mobile phones.
• Real-time tourist information services (e.g., pictures or video from popular sites) provided by people already nearby.
• Disaster response coordination gathering on-the-ground evidence from multiple mobile users in an affected area.
• Participatory social sensing for community mapping, safety alerts, or infrastructure monitoring.
• Location-based promotional or informational alerts that leverage real-time, crowd-contributed content.

BenefitsContent extracted from patent full text and abstract with AI.

• Efficient use of smartphones’ battery life by autonomously managing participation in sensing tasks.
• Improved quality of information delivered to requesters by combining and filtering multiple crowd responses.
• Distributed (non-centralized) decision-making allows for scalable and robust participation without a central point of control.
• Dynamic credit/incentive management encourages ongoing participation and fair compensation for contributors.
• Minimizes network operator costs while maximizing service quality and revenue.
• Can adapt to human behavior unpredictability (users may choose not to participate), ensuring more reliable service.
• Enables real-time, context-aware data collection at the right place and time.

Technical Classifications (CPCs)

Inventors & Applicants

Patent Abstract

The invention provides a method of processing contextual information over a mobile communication network having a data processing unit, wherein the method comprises the steps of: a) sending a query including information requirement by a first mobile device to the data processing unit, wherein the information requirement comprises at least one information requirement attribute, b) forwarding the query to a plurality of second mobile devices by the data processing unit, wherein the plurality of second mobile devices are identified according to the information requirement of the query, c) deciding on participation by the plurality of second mobile devices using the Gur Game, recommending information property of the contextual information by each of second mobile device respectively, and generating a reply for the query from each of the participants of the plurality of second mobile devices using the Gur Game, wherein the reply is the recommended contextual information and comprises the information property having at least one information attribute, d) accumulating a plurality of replies from the participants of the plurality of the second mobile devices by using the fusion algorithm and calculating a quality of information satisfaction level based on the required information level, by the data processing unit, e) triggering a new round of iteration among the plurality of second mobile devices using the Gur Game, f) sending the fused recommended contextual information to the first mobile device by the data processing unit.