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A Method and System for Collecting Information Guided by Users in a Social Media

IP.com Disclosure Number: IPCOM000240757D
Publication Date: 2015-Feb-26
Document File: 3 page(s) / 37K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is a method and system for collecting information guided by users in a social media.

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 37% of the total text.

Page 01 of 3

A Method and System for Collecting Information Guided by Users in a Social Media

Disclosed is a method and system for collecting information guided by users in a social media. The method and system enables a Subject Matter Expert (SME) to specify a set of constraints for collecting information, computing information collected from crowd according to the constraints, visual exploration of users, selecting users for asking questions and modifying the constraints as needed.

The set of constraints for collecting information by SME can be specified based on user traits which may include but need not be limited to willingness, trustworthiness, dutifulness, time-based constraint, demographic constraint, ability based constraint, answer-quality based constraint and the like. After selecting the users based on constraints, the method and system enables a guided visual exploration to show the users selected by the SME along with the respective constraints and evidence for selection. The evidence for selection may facilitate to ask questions and make decisions based on the information collected from the user. Thus, based on the answers for questions, the SME can modify constraints, and see modified selection with evidences for selection. The information-collection mechanism also allows the SME to visually explore received answer quality in terms of a variety of metrics.

The method and system for collecting information starts by allowing a SME to set a criteria/constraint in the information collection system which monitors social media stream. The constraint categories set by the SME may include but need not be limited to a demographic constraint, an ability-based constraint, a trait-based constraint, a time-based constraint, a quality-based constraint and the like. The demographic constraint of the user may include but need not be limited to location, gender, age or other available demographic information of crowd from social media.

The ability-based constraints include constraints which indicate ability to answer questions. The ability-based constraints may include but need not be limited to topic of information collection, experience level of the crowd relevant to the topic, sentiment associated with the topic and the like. Similarly, the trait-based constraint includes but need not be limited to a set of traits of answers that affect response rate, response time and response quality. The examples of traits may include but need not be limited to willingness, trustworthiness, dutifulness and the like. Thus, SME can specify desired value of the traits and the method used for collecting specific traits may be obtained from previous experiments related to question-answering. Further, the time-based constraints include expected response time of questions. Where, in some cases information desired to be received in a specified time, so the SME can specify time based constraints to facilitate information collection in the desired response time. I...