Article

FeedMe: a collaborative alert filtering system

Authors:

Michael Muller,

Beth Brownholtz,

David R. MillenAuthors Info & Claims

CSCW '06: Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work

Pages 89 - 98

https://doi.org/10.1145/1180875.1180890

Published: 04 November 2006 Publication History

Abstract

As the number of alerts generated by collaborative applications grows, users receive more unwanted alerts. FeedMe is a general alert management system based on XML feed protocols such as RSS and ATOM. In addition to traditional rule-based alert filtering, FeedMe uses techniques from machine-learning to infer alert preferences based on user feedback. In this paper, we present and evaluate a new collaborative naïve Bayes filtering algorithm. Using FeedMe, we collected alert ratings from 33 users over 29 days. We used the data to design and verify the accuracy of the filtering algorithm and provide insights into alert prediction.

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https://dl.acm.org/doi/10.1145/3652603
Ross SMartinez FHoude SMuller MWeisz J(2023)The Programmer’s Assistant: Conversational Interaction with a Large Language Model for Software DevelopmentProceedings of the 28th International Conference on Intelligent User Interfaces10.1145/3581641.3584037(491-514)Online publication date: 27-Mar-2023
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Index Terms

FeedMe: a collaborative alert filtering system

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cover image ACM Conferences

CSCW '06: Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work

November 2006

548 pages

ISBN:1595932496

DOI:10.1145/1180875

General Chairs:
Pamela Hinds
Stanford University, USA
,
David Martin
SMART Technologies Inc., Canada

Copyright © 2006 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 04 November 2006

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November 4 - 8, 2006

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Overall Acceptance Rate 2,235 of 8,521 submissions, 26%

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Cited By

Park SVishwabhan SMuller MKarger D(2024)“I Really Need Your Help with This Work...”: A System for Navigating the Tricky Terrain of Managing Up by Leveraging One’s Motivation to Get Things DoneACM Transactions on Computer-Human Interaction10.1145/365260331:4(1-36)Online publication date: 19-Sep-2024
https://dl.acm.org/doi/10.1145/3652603
Ross SMartinez FHoude SMuller MWeisz J(2023)The Programmer’s Assistant: Conversational Interaction with a Large Language Model for Software DevelopmentProceedings of the 28th International Conference on Intelligent User Interfaces10.1145/3581641.3584037(491-514)Online publication date: 27-Mar-2023
https://dl.acm.org/doi/10.1145/3581641.3584037
Zhang XDing DHuang C(2017)A user intention modeling algorithm for friend recommendation2017 IEEE 2nd International Conference on Big Data Analysis (ICBDA)(10.1109/ICBDA.2017.8078745(789-795)Online publication date: Mar-2017
https://doi.org/10.1109/ICBDA.2017.8078745
Yoon JSeo WCoh BSong ILee J(2017)Identifying product opportunities using collaborative filtering-based patent analysisComputers and Industrial Engineering10.1016/j.cie.2016.04.009107:C(376-387)Online publication date: 1-May-2017
https://dl.acm.org/doi/10.1016/j.cie.2016.04.009
Ma KAbraham AYang BSun RMa KAbraham AYang BSun R(2016)Intelligent Web Data Management of Content Syndication and RecommendationIntelligent Web Data Management: Software Architectures and Emerging Technologies10.1007/978-3-319-30192-1_4(65-77)Online publication date: 20-Feb-2016
https://doi.org/10.1007/978-3-319-30192-1_4
Lettner DGrünbacher PSchmid KHaugen ØMüller J(2015)Using Feature Feeds to Improve Developer Awareness in Software Ecosystem EvolutionProceedings of the 9th International Workshop on Variability Modelling of Software-Intensive Systems10.1145/2701319.2701331(11-18)Online publication date: 21-Jan-2015
https://dl.acm.org/doi/10.1145/2701319.2701331
Bani-Salameh HJeffery C(2014)Notifications management in distributed development environments: A case study2014 International Conference on Collaboration Technologies and Systems (CTS)10.1109/CTS.2014.6867541(49-55)Online publication date: May-2014
https://doi.org/10.1109/CTS.2014.6867541
Sasangohar FScott SDonmez B(2013)Interruption Management and Recovery in Time-critical Supervisory-level TasksProceedings of the Human Factors and Ergonomics Society Annual Meeting10.1177/154193121357138957:1(1745-1749)Online publication date: 30-Sep-2013
https://doi.org/10.1177/1541931213571389
liebowitz j(2011)Interruption ManagementIT Professional10.1109/MITP.2010.11813:2(44-48)Online publication date: 1-Mar-2011
https://dl.acm.org/doi/10.1109/MITP.2010.118
Kazemi ANematbakhsh M(2011)Finding Compatible People on Social Networking Sites, a Semantic Technology ApproachProceedings of the 2011 Second International Conference on Intelligent Systems, Modelling and Simulation10.1109/ISMS.2011.54(306-309)Online publication date: 25-Jan-2011
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