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 Deborah L Estrin

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Average citations per article64.05
Citation Count10,824
Publication count169
Publication years1986-2017
Available for download117
Average downloads per article1,880.91
Downloads (cumulative)220,067
Downloads (12 Months)19,734
Downloads (6 Weeks)2,394
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174 results found Export Results: bibtexendnoteacmrefcsv

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1 published by ACM
September 2018 RecSys '18: Proceedings of the 12th ACM Conference on Recommender Systems
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 294,   Downloads (12 Months): 294,   Downloads (Overall): 294

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Implicit-feedback Recommenders (ImplicitRec) leverage positive only user-item interactions, such as clicks, to learn personalized user preferences. Recommenders are often evaluated and compared offline using datasets collected from online platforms. These platforms are subject to popularity bias (i.e., popular items are more likely to be presented and interacted with), and therefore ...
Keywords: bias, evaluation, implicit feedback, propensity, recommendation

2 published by ACM
September 2018 MobileHCI '18: Proceedings of the 20th International Conference on Human-Computer Interaction with Mobile Devices and Services
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 24,   Downloads (12 Months): 24,   Downloads (Overall): 24

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Digital overuse on mobile devices is a growing problem in everyday life. This paper describes a generalizable mobile intervention that combines nudge theory and negative reinforcement to create a subtle, repeating phone vibration that nudges a user to reduce their digital consumption. For example, if a user has a daily ...
Keywords: digital nudge, digital overload, intervention, negative reinforcement, smartphones, social media, vibration

3 published by ACM
April 2018 TechMindSociety '18: Proceedings of the Technology, Mind, and Society
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 0,   Downloads (12 Months): 0,   Downloads (Overall): 0

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Behavior change is one of the most important problems faced by people and researchers today. Behavioral researchers have begun adopting smartphones as data-collection tools in psychological and behavioral science because these devices can study people in their everyday life, objectively measure behavior (using mobile sensing), and implement interventions. From a ...
Keywords: Framework, Mobile Sensing, Behavior Change, Context, Digital Nudge, Mobile Phone, Behavioral Science

4 published by ACM
March 2018 Communications of the ACM: Volume 61 Issue 4, April 2018
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 1,122,   Downloads (12 Months): 10,919,   Downloads (Overall): 10,919

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Data science promises new insights, helping transform information into knowledge that can drive science and industry.

5 published by ACM
February 2018 WSDM '18: Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 53,   Downloads (12 Months): 236,   Downloads (Overall): 236

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With the increasing demand for deeper understanding of users» preferences, recommender systems have gone beyond simple user-item filtering and are increasingly sophisticated, comprised of multiple components for analyzing and fusing diverse information. Unfortunately, existing frameworks do not adequately support extensibility and adaptability and consequently pose significant challenges to rapid, iterative, ...
Keywords: extensible, recommendation, framework, modular, adaptable

6
April 2017 WWW '17 Companion: Proceedings of the 26th International Conference on World Wide Web Companion
Publisher: International World Wide Web Conferences Steering Committee
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 2,   Downloads (12 Months): 44,   Downloads (Overall): 71

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Users of software applications generate vast amounts of unstructured log-trace data. These traces contain clues to the intentions and interests of those users, but service providers may find it difficult to uncover and exploit those clues. In this paper, we propose a framework for personalizing software and web services by ...
Keywords: application usage, recommendation, user modeling

7
April 2017 WWW '17: Proceedings of the 26th International Conference on World Wide Web
Publisher: International World Wide Web Conferences Steering Committee
Bibliometrics:
Citation Count: 8
Downloads (6 Weeks): 42,   Downloads (12 Months): 354,   Downloads (Overall): 584

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Metric learning algorithms produce distance metrics that capture the important relationships among data. In this work, we study the connection between metric learning and collaborative filtering. We propose Collaborative Metric Learning (CML) which learns a joint metric space to encode not only users' preferences but also the user-user and item-item ...
Keywords: metric learning, recommendation systems, collaborative filtering, collaborative metric learning

8
March 2017 IEEE Pervasive Computing: Volume 16 Issue 2, March 2017
Publisher: IEEE Educational Activities Department
Bibliometrics:
Citation Count: 0

The Center of Excellence for Mobile Sensor Data-to-Knowledge (MD2K) is enabling the collection of high-frequency mobile sensor data for the development and validation of novel multisensory biomarkers and sensor-triggered interventions.

9
April 2016 WWW '16: Proceedings of the 25th International Conference on World Wide Web
Publisher: International World Wide Web Conferences Steering Committee
Bibliometrics:
Citation Count: 5
Downloads (6 Weeks): 4,   Downloads (12 Months): 117,   Downloads (Overall): 494

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We propose a new user-centric recommendation model, called Immersive Recommendation, that incorporates cross-platform and diverse personal digital traces into recommendations. Our context-aware topic modeling algorithm systematically profiles users' interests based on their traces from different contexts, and our hybrid recommendation algorithm makes high-quality recommendations by fusing users' personal profiles, item ...
Keywords: personal digital traces, personalization, recommendations, small data

10 published by ACM
April 2015 ACM Transactions on Intelligent Systems and Technology (TIST) - Survey Paper, Regular Papers and Special Section on Participatory Sensing and Crowd Intelligence: Volume 6 Issue 3, May 2015
Publisher: ACM
Bibliometrics:
Citation Count: 5
Downloads (6 Weeks): 11,   Downloads (12 Months): 85,   Downloads (Overall): 246

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Participatory sensing (PS) is a distributed data collection and analysis approach where individuals, acting alone or in groups, use their personal mobile devices to systematically explore interesting aspects of their lives and communities [Burke et al. 2006]. These mobile devices can be used to capture diverse spatiotemporal data through both ...
Keywords: data sharing, experience sampling, mobile data collection, citizen science, educational tool, Participatory sensing, clinical research, mobile sensing

11 published by ACM
April 2014 Communications of the ACM: Volume 57 Issue 4, April 2014
Publisher: ACM
Bibliometrics:
Citation Count: 16
Downloads (6 Weeks): 35,   Downloads (12 Months): 280,   Downloads (Overall): 44,657

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Seeking personalized data-derived insights from analysis of our digital traces.

12 published by ACM
April 2013 IPSN '13: Proceedings of the 12th international conference on Information processing in sensor networks
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 10,   Downloads (12 Months): 82,   Downloads (Overall): 378

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Mobile health (mHealth) leverages the power and ubiquity of mobile and cloud technologies to support patients and clinicians in monitoring and understanding symptoms, side effects and treatment outside the clinical setting; thereby closing the feedback loops of self-care, clinical-care, and personal-evidence-creation. However, to realize this promise, we must develop new ...
Keywords: mobile health

13 published by ACM
February 2013 ACM SIGMOBILE Mobile Computing and Communications Review: Volume 16 Issue 4, October 2012
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 1,   Downloads (12 Months): 18,   Downloads (Overall): 437

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14 published by ACM
September 2011 UbiComp '11: Proceedings of the 13th international conference on Ubiquitous computing
Publisher: ACM
Bibliometrics:
Citation Count: 9
Downloads (6 Weeks): 3,   Downloads (12 Months): 36,   Downloads (Overall): 813

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Just as coordinate-oriented location-based applications have exploded recently with mapping services, new semantic location services will be critical for the next wave of killer applications. People are going to want everyday applications to have location-awareness that goes beyond simple numerical latitude and longitude. Loci is a new semantic location service ...
Keywords: semantic location, user feedback

15 published by ACM
June 2011 MobiArch '11: Proceedings of the sixth international workshop on MobiArch
Publisher: ACM
Bibliometrics:
Citation Count: 19
Downloads (6 Weeks): 0,   Downloads (12 Months): 22,   Downloads (Overall): 668

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By deploying several research applications, we found that capturing usage context (e.g., CPU and memory) is highly valuable for debugging and interpreting results, even if that context information appears unrelated to the application. We have developed a general tool called SystemSens to help researchers capture usage context in their deployments ...
Keywords: android, deployment, smartphone

16 published by ACM
March 2011 ACM SIGHIT Record: Volume 1 Issue 1, March 2011
Publisher: ACM
Bibliometrics:
Citation Count: 4
Downloads (6 Weeks): 11,   Downloads (12 Months): 82,   Downloads (Overall): 831

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This whitepaper is a reprint from the Computing Community Consortium (http://www.cra.org/ccc/), first printed on May 25, 2010. This paper is an outgrowth of the workshop, "Discovery and Innovation in Health IT," sponsored by the National Science Foundation, the Office of the National Coordinator for Health Information Technology, the National Institute ...
Keywords: health records, health informatics, health IT

17 published by ACM
November 2010 Co-NEXT '10: Proceedings of the 6th International COnference
Publisher: ACM
Bibliometrics:
Citation Count: 22
Downloads (6 Weeks): 12,   Downloads (12 Months): 73,   Downloads (Overall): 734

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The increasing ubiquity of the mobile phone is creating many opportunities for personal context sensing, and will result in massive databases of individuals' sensitive information incorporating locations, movements, images, text annotations, and even health data. In existing system architectures, users upload their raw (unprocessed or filtered) data streams directly to ...
Keywords: privacy policy, personal participatory sensing

18 published by ACM
November 2010 SenSys '10: Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems
Publisher: ACM
Bibliometrics:
Citation Count: 87
Downloads (6 Weeks): 8,   Downloads (12 Months): 83,   Downloads (Overall): 1,798

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Continuously understanding a user's location context in colloquial terms and the paths that connect the locations unlocks many opportunities for emerging applications. While extensive research effort has been made on efficiently tracking a user's raw coordinates, few attempts have been made to efficiently provide everyday contextual information about these locations ...
Keywords: energy-efficient tracking, semantic location context

19 published by ACM
November 2010 IMC '10: Proceedings of the 10th ACM SIGCOMM conference on Internet measurement
Publisher: ACM
Bibliometrics:
Citation Count: 84
Downloads (6 Weeks): 9,   Downloads (12 Months): 133,   Downloads (Overall): 1,858

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Using data from 43 users across two platforms, we present a detailed look at smartphone traffic. We find that browsing contributes over half of the traffic, while each of email, media, and maps contribute roughly 10%. We also find that the overhead of lower layer protocols is high because of ...
Keywords: smartphone traffic, power management

20 published by ACM
October 2010 WH '10: Wireless Health 2010
Publisher: ACM
Bibliometrics:
Citation Count: 20
Downloads (6 Weeks): 7,   Downloads (12 Months): 49,   Downloads (Overall): 719

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Advances in mobile phone technology have allowed phones to become a convenient platform for real-time assessment of a participants health and behavior. AndWellness, a personal data collection system, uses mobile phones to collect and analyze data from both active, triggered user experience samples and passive logging of onboard environmental sensors. ...
Keywords: system architecture, in situ data collection, mobile computing, experience sampling method (ESM), wireless health monitoring



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