"The qCrowd system automatically (or semi-automatically) asks questions of social media users to extract the missing information that may be important to making key business decisions."
Millions of people are talking on social media networks, but frequently their posts don't tell the whole story. In a retail context, a customer might complain about a service or product but not give enough details for the retailer to understand and potentially address the problem. The qCrowd system automatically (or semi-automatically) asks questions of social media users to extract the missing information that may be important to making key business decisions. The key components are: a module that identifies users who might have useful information and are likely to respond, an algorithm that selects an appropriate question and sends it to users via the same social media networks through which we found them, parses and analyzes any responses, and a domain-specific dashboard that helps the customer interpret the resulting data and interact with the system. The question generation algorithms automatically generate questions that are in the user's context (i.e. they don't ask for information the user has provided) and also provide an incentive for the user to respond. The incentive could be helping other users, building a global data set that everyone can access, or simply a coupon for a retail store or specific product. This system enables a variety of applications, including customer support, automatic generation of product reviews, and location-based data collection.