Recommending Targeted Strangers from Whom to Solicit Information on Social Media
Abstract
We present an intelligent, crowd-powered information collection system that automatically identifies and asks target-ed strangers on Twitter for desired information (e.g., cur-rent wait time at a nightclub). Our work includes three parts. First, we identify a set of features that characterize ones willingness and readiness to respond based on their exhibited social behavior, including the content of their tweets and social interaction patterns. Second, we use the identified features to build a statistical model that predicts ones likelihood to respond to information solicitations. Third, we develop a recommendation algorithm that selects a set of targeted strangers using the probabilities computed by our statistical model with the goal to maximize the over-all response rate. Our experiments, including several in the real world, demonstrate the effectiveness of our work.
Keywords
Cite
@article{arxiv.1405.5574,
title = {Recommending Targeted Strangers from Whom to Solicit Information on Social Media},
author = {Jalal Mahmud and Michelle X. Zhou and Nimrod Megiddo and Jeffrey Nichols and Clemens Drews},
journal= {arXiv preprint arXiv:1405.5574},
year = {2014}
}
Comments
arXiv admin note: substantial text overlap with arXiv:1404.2013