Works (13)
Updated: July 5th, 2023 15:45
2021 journal article
An interpretable framework for investigating the neighborhood effect in POI recommendation
PLOS ONE, 16(8).
MeSH headings : Deep Learning; Geographic Information Systems / statistics & numerical data; Humans; Online Social Networking; Residence Characteristics; Travel / psychology; Travel / statistics & numerical data
TL;DR:
A deep learning-based recommendation framework that exploits the neighborhood effect is proposed, which is more effective than two state-of-the-art matrix factorization-based POI recommendation techniques.
(via Semantic Scholar)
journals.plos.org (publisher PDF)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: September 20, 2021
2020 article
Ethics in Self-* Sociotechnical Systems (Tutorial Abstract)
2020 IEEE INTERNATIONAL CONFERENCE ON AUTONOMIC COMPUTING AND SELF-ORGANIZING SYSTEMS COMPANION (ACSOS-C 2020), pp. 249–249.
TL;DR:
The surprising capabilities demonstrated by AI technologies overlaid on detailed data and fine-grained control give cause for concern that agents can wield enormous power over human welfare, drawing increasing attention to ethics in AI.
(via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: October 26, 2020
2020 journal article
From Machine Ethics to Internet Ethics: Broadening the Horizon
IEEE INTERNET COMPUTING, 24(3), 51–57.
author keywords: Ethics; Internet; Hospitals; Urban areas; Roads; Cognition; Smart phones
Sources: Web Of Science, NC State University Libraries
Added: August 24, 2020
2017 journal article
Sharing Policies in Multiuser Privacy Scenarios: Incorporating Context, Preferences, and Arguments in Decision Making
ACM TRANSACTIONS ON COMPUTER-HUMAN INTERACTION, 24(1).
author keywords: Privacy; social media; multiuser; argumentation; crowdsourcing
TL;DR:
An inference model is developed and evaluated that predicts the optimal sharing policy given the three types of features in multiuser scenarios where arguments are employed, and the predictions of the model are analyzed to uncover potential scenario types that lead to incorrect predictions and to enhance the understanding of when multiusers scenarios are more or less prone to dispute.
(via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018
2016 article
Acquiring Creative Requirements from the Crowd Understanding the Influences of Personality and Creative Potential in Crowd RE
2016 IEEE 24TH INTERNATIONAL REQUIREMENTS ENGINEERING CONFERENCE (RE), pp. 176–185.
Event: at United States
author keywords: Idea generation; crowdsourcing; Crowd RE; creativity; personality; smart home
TL;DR:
It is found that exposing a worker to ideas from previous workers cognitively stimulates the worker to produce creative ideas, and effective strategies based on personality traits and creative potential for selecting a few requirements from a pool of previous requirements to stimulate a worker are identified.
(via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018
2016 journal article
Engineering Privacy in Social Applications
IEEE INTERNET COMPUTING, 20(2), 72–76.
TL;DR:
Danio, a methodology based on modeling users' expectations in various contexts that simplifies the development of social applications and saves time during implementation and testing, is introduced.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
10. Reduced Inequalities
(OpenAlex)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018
2016 journal article
Percimo: A Personalized Community Model for Location Estimation in Social Media
PROCEEDINGS OF THE IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING ASONAM, 271–278.
Contributors: *, G. Yuan & M. Singh*
TL;DR:
This work considers the problem of estimating geo-tags for tweets and develops a comprehensive approach, Percimo, that incorporates textual content, the user's personalized behavior, and the users' social relationships and yields a smaller prediction error than the two state-of-the-art approaches it compares with.
(via Semantic Scholar)
Sources: NC State University Libraries, ORCID, NC State University Libraries
Added: August 6, 2018
2015 journal article
Platys: An Active Learning Framework for Place-Aware Application Development and Its Evaluation
ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY, 24(3).
Contributors: n & M. Singh n
author keywords: Experimentation; Measurement; Mobile application development; location-aware; place-aware; context-aware; middleware; place recognition; active learning; semi-supervised learning; usability; privacy
TL;DR:
The results indicate that application developers employing Platys, when compared to those employing the Android API, develop a place-aware application faster and perceive reduced difficulty and produce applications that are easier to understand and potentially more usable and privacy preserving.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
4. Quality Education
(OpenAlex)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018
2015 journal article
Platys: From Position to Place-Oriented Mobile Computing
AI MAGAZINE, 36(2), 50–62.
Contributors: I. Rhee n, T. Finin *, L. Zavala*, A. Joshi *, N. Poosamani n, n, M. Singh n
TL;DR:
The Platys project focuses on developing a high-level, semantic notion of location called place that enables the construction of a large variety of applications that take advantage of place to render relevant content and functionality and thus, improve user experience.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018
2015 journal article
Resolving Goal Conflicts via Argumentation-Based Analysis of Competing Hypotheses
IEEE 25TH INTERNATIONAL REQUIREMENTS ENGINEERING CONFERENCE (RE), 156–165.
TL;DR:
Arg-ACH systematically captures the trail of a requirements engineer's thought process in resolving conflicts and is superior to ACH with respect to completeness and coverage of belief search; length of belief chaining; ease of use; explicitness of the assumptions made; and repeatability of conclusions across subjects.
(via Semantic Scholar)
Sources: NC State University Libraries, ORCID, NC State University Libraries
Added: August 6, 2018
2015 conference paper
TRACE: A dynamic model of trust for people-driven service engagements combining trust with risk, commitments, and emotions
Service-oriented computing, (icsoc 2015), 9435, 353–361.
Source: NC State University Libraries
Added: August 6, 2018
2014 journal article
Understanding Location-Based User Experience
IEEE INTERNET COMPUTING, 18(6), 72–76.
Contributors: n & M. Singh n
author keywords: Mobile radio mobility management; User centered design; User interfaces; Context awareness; Mobile computing; Quality of service; mobile computing; location-based services; context-aware services; user experience
TL;DR:
The authors describe how user experience criteria map to location-based applications, the special demands these criteria place on modeling, and how to realize such applications to obtain high-quality user experience.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018
2012 journal article
Platys Social: Relating Shared Places and Private Social Circles
IEEE INTERNET COMPUTING, 16(3), 53–59.
Contributors: n & M. Singh n
TL;DR:
Platys Social is a novel approach that learns users' social circles and prioritizes their connections by bringing together contextual information and user interactions.
(via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018
Citation Index includes data from a number of different sources. If you have questions about the sources of data in the Citation Index or need a set of data which is free to re-distribute, please contact us.
Certain data included herein are derived from the Web of Science© and InCites© (2024) of Clarivate Analytics. All rights reserved. You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.
