Works matching DE "CONTENT filters (Computer science)"
Results: 79
Data Monetization: Lessons from a Retailer's Journey.
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- MIS Quarterly Executive, 2013, v. 12, n. 4, p. 213
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Crowdsourcing: How to Benefit from (Too) Many Great Ideas.
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- MIS Quarterly Executive, 2013, v. 12, n. 4, p. 199
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Optimizing content-based routers: posets and forests.
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- Distributed Computing, 2006, v. 19, n. 1, p. 62, doi. 10.1007/s00446-006-0002-0
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COSMOS-7: Video-Oriented MPEG-7 Scheme for Modelling and Filtering of Semantic Content.
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- Computer Journal, 2005, v. 48, n. 5, p. 545, doi. 10.1093/comjnl/bxh115
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- Article
Técnicas de Inteligencia Artificial en el filtro de contenido web Smart Keeper para la clasificación de información.
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- Revista Cubana de Ciencias Informáticas, 2011, v. 5, n. 4, p. 1
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- Article
FREEDOM TO FILTER VERSUS USER CONTROL: LIMITING THE SCOPE OF § 230(C)(2) IMMUNITY.
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- Journal of Law, Technology & Policy, 2014, v. 2014, n. 1, p. 105
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Internet users' neutralization of the morality of advertisement blocking.
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- Text & Talk, 2018, v. 38, n. 6, p. 683, doi. 10.1515/text-2018-0019
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How Do Recommender Systems Affect Sales Diversity? A Cross-Category Investigation via Randomized Field Experiment.
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- Information Systems Research, 2019, v. 30, n. 1, p. 239, doi. 10.1287/isre.2018.0800
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Evaluation of Competing Candidate Solutions in Electronic Networks of Practice.
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- Information Systems Research, 2014, v. 25, n. 1, p. 15, doi. 10.1287/isre.2013.0502
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Web & Wild.
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- TechTrends: Linking Research & Practice to Improve Learning, 2006, v. 50, n. 1, p. 47
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Evaluating the Importance of Common Components in School-Based Websites: Frequency of Appearance and Stakeholders' Judged Value.
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- TechTrends: Linking Research & Practice to Improve Learning, 2005, v. 49, n. 6, p. 34, doi. 10.1007/BF02763728
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FOR STARTUPS, ADAPTABILITY AND MENTOR NETWORK DIVERSITY CAN BE PIVOTAL: EVIDENCE FROM A RANDOMIZED EXPERIMENT ON A MOOC PLATFORM.
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- MIS Quarterly, 2020, v. 44, n. 2, p. 661, doi. 10.25300/MISQ/2020/15138
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Connecting Kids and Computers.
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- Childhood Education, 2006, v. 83, n. 2, p. 108
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Filter This.
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- In the Library with the Lead Pipe, 2011, p. 1
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A HYBRID MOVIE RECOMMENDER SYSTEM BASED ON NEURAL NETWORKS.
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- International Journal on Artificial Intelligence Tools, 2007, v. 16, n. 5, p. 771, doi. 10.1142/S0218213007003540
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Programming, filtering, adblocking: advertising and media automation.
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- Media International Australia (8/1/07-current), 2018, v. 166, n. 1, p. 34, doi. 10.1177/1329878X17738787
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- Article
Recommender System Based on User Ratings: a Comprehensive Study and Future Challenges.
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- International Review on Computers & Software, 2013, v. 8, n. 7, p. 1624
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Image Based DLP Security for Risk Professionals - A High Impact Strategy.
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- International Review on Computers & Software, 2012, v. 7, n. 6, p. 2831
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QMRPF-UKF Master-Slave Filtering for the Attitude Determination of Micro-Nano Satellites Using Gyro and Magnetometer.
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- Sensors (14248220), 2010, v. 10, n. 11, p. 9935, doi. 10.3390/s101109935
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- Article
Contexts in a Paper Recommendation System with Collaborative Filtering.
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- International Review of Research in Open & Distance Learning, 2012, v. 13, n. 5, p. 56, doi. 10.19173/irrodl.v13i5.1243
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THE DIFFICULTY WITH REGULATING NETWORK NEUTRALITY.
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- Cardozo Arts & Entertainment Law Journal, 2011, v. 29, n. 2, p. 459
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Towards ontology-based multilingual URL filtering: a big data problem.
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- Journal of Supercomputing, 2018, v. 74, n. 10, p. 5003, doi. 10.1007/s11227-018-2338-1
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- Article
Cost-sensitive three-way email spam filtering.
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- Journal of Intelligent Information Systems, 2014, v. 42, n. 1, p. 19, doi. 10.1007/s10844-013-0254-7
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The media epistemic value of sonic analytics tools. A commentary.
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- Internet Histories, 2021, v. 5, n. 1, p. 48, doi. 10.1080/24701475.2020.1862528
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VidAngel: Content filtering technologies, religion, and American copyright law.
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- Internet Histories, 2021, v. 5, n. 1, p. 8, doi. 10.1080/24701475.2020.1831198
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- Article
False Data Filtering Strategy in Wireless Sensor Network Based on Neighbor Node Monitoring.
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- International Journal of Online Engineering, 2017, v. 13, n. 3, p. 174, doi. 10.3991/ijoe.v13i03.6869
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Filtering methods for content-based retrieval on indexed symbolic music databases.
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- Information Retrieval Journal, 2010, v. 13, n. 1, p. 1, doi. 10.1007/s10791-009-9097-9
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Evaluating the effectiveness of content-oriented XML retrieval methods.
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- Information Retrieval Journal, 2006, v. 9, n. 6, p. 699, doi. 10.1007/s10791-006-9008-2
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Spam Mail Detection Using Hybrid Secure Hash Based Naive Classifier.
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- International Journal of Advanced Research in Computer Science, 2017, v. 8, n. 5, p. 1195
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Pre-Processing and Post-Processing Enhancement of Mri Image using Filters.
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- International Journal of Advanced Research in Computer Science, 2014, v. 5, n. 5, p. 78
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Filtering Spam Emails Based on User Behaviors.
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- International Journal of Advanced Research in Computer Science, 2011, v. 2, n. 5, p. 261
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Discussion catalysts in online political discussions: Content importers and conversation starters.
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- Journal of Computer-Mediated Communication, 2009, v. 14, n. 4, p. 771, doi. 10.1111/j.1083-6101.2009.01470.x
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Development and Validation of Search Filters to Identify Articles on Family Medicine in Online Medical Databases.
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- Annals of Family Medicine, 2015, v. 13, n. 4, p. 364, doi. 10.1370/afm.1780
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Clasificador para la detección de personas desnudas en imágenes.
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- Ingeniería y Desarrollo, 2012, v. 30, n. 2, p. 223
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- Article
Fast filtering image fusion.
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- Journal of Electronic Imaging, 2017, v. 26, n. 6, p. 063004-1, doi. 10.1117/1.JEI.26.6.063004
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Behavioral data mining to produce novel and serendipitous friend recommendations in a social bookmarking system.
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- Information Systems Frontiers, 2018, v. 20, n. 4, p. 825, doi. 10.1007/s10796-015-9600-3
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- Article
HEURISTIC IMAGE RECOGNITION.
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- DAAAM International Scientific Book, 2009, p. 377, doi. 10.2507/daaam.scibook.2009.39
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- Article
COMBINED APPROACHES IN AUTOMATIC PAGE CLUSTERING FOR CONTENT CONVERSION.
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- DAAAM International Scientific Book, 2009, p. 289, doi. 10.2507/daaam.scibook.2009.31
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- Article
Paper filtering method using features of coauthor research group, subject category, and terminology.
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- Electronics & Communications in Japan, 2010, v. 93, n. 9, p. 1, doi. 10.1002/ecj.10264
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RuleSIM: a toolkit for simulating the operation and improving throughput of rule-based spam filters.
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- Software: Practice & Experience, 2016, v. 46, n. 8, p. 1091, doi. 10.1002/spe.2342
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Using new scheduling heuristics based on resource consumption information for increasing throughput on rule-based spam filtering systems.
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- Software: Practice & Experience, 2016, v. 46, n. 8, p. 1035, doi. 10.1002/spe.2343
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- Article
ODOMETRY AND LOW-COST SENSOR FUSION IN TMM DATASET.
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- ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences, 2016, v. 9, n. 3/W4, p. 27, doi. 10.5194/isprsarchives-XL-3-W4-27-2016
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- Article
CSP adoption: current status and future prospects.
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- Security & Communication Networks, 2016, v. 9, n. 17, p. 4557, doi. 10.1002/sec.1649
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- Article
PPGJ: A privacy-preserving general join for outsourced encrypted database.
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- Security & Communication Networks, 2014, v. 7, n. 8, p. 1232, doi. 10.1002/sec.854
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Aiding design with constraints: an extension of quad trees in order to deal with piecewise functions.
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- International Journal of Computer Integrated Manufacturing, 2008, v. 21, n. 4, p. 353, doi. 10.1080/09511920701575278
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- Article
Anomaly-based user comments detection in social news websites using troll user comments as normality representation.
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- Logic Journal of the IGPL, 2016, v. 24, n. 6, p. 883, doi. 10.1093/jigpal/jzw043
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- Article
A User-Activity-Centric Framework for Access Control in Online Social Networks.
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- IEEE Internet Computing, 2011, v. 15, n. 5, p. 62, doi. 10.1109/MIC.2011.111
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FACEBOOK USED TAKEDOWN AND IT WAS SUPER EFFECTIVE! FINDING A FRAMEWORK FOR PROTECTING USER RIGHTS OF EXPRESSION ON SOCIAL NETWORKING SITES.
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- New York University Annual Survey of American Law, 2013, v. 68, n. 4, p. 891
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- Article
State Control of the Internet Reins in Cuba's Future.
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- SAIS Review of International Affairs, 2007, v. 27, n. 2, p. 151, doi. 10.1353/sais.2007.0036
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- Article
Automatic Recommendations for E-Learning Personalization Based on Web Usage Mining Techniques and Information Retrieval.
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- Educational Technology & Society, 2009, v. 12, n. 4, p. 30
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- Article