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Text Classification and Machine Learning Support for Requirements Analysis Using Blogs
Innovations for Requirement Analysis. From Stakeholders' Needs to Formal Designs
A web-based user interaction framework for collaboratively building and validating ontologies
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Proceedings of the VIII Brazilian Symposium on Human Factors in Computing Systems
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Metaphor-based meaning excavation
Information Sciences: an International Journal
Games with a purpose for social networking platforms
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Proposing "collaborative filtering" to foster collaboration in ScratchR community
CSCL'09 Proceedings of the 9th international conference on Computer supported collaborative learning - Volume 2
From social computing to reflexive collective intelligence: The IEML research program
Information Sciences: an International Journal
Multimedia Tools and Applications
Context aware personal agent for spiritual exploration
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Narrative image composition using objective and subjective tagging
ACM SIGGRAPH 2010 Posters
The design of a proofreading software service
CL&W '10 Proceedings of the NAACL HLT 2010 Workshop on Computational Linguistics and Writing: Writing Processes and Authoring Aids
Time dependency of data quality for collaborative filtering algorithms
Proceedings of the fourth ACM conference on Recommender systems
Recommending learning objects according to a teachers' contex model
EC-TEL'10 Proceedings of the 5th European conference on Technology enhanced learning conference on Sustaining TEL: from innovation to learning and practice
A resource allocation framework for collective intelligence system engineering
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
A framework for dynamic data source identification and orchestration on the web
Proceedings of the 3rd and 4th International Workshop on Web APIs and Services Mashups
Userrank for item-based collaborative filtering recommendation
Information Processing Letters
HMXT-GP: an information-theoretic approach to genetic programming that maintains diversity
Proceedings of the 2011 ACM Symposium on Applied Computing
Data representation in machine learning-based sentiment analysis of customer reviews
PReMI'11 Proceedings of the 4th international conference on Pattern recognition and machine intelligence
Group polarization and non-positive social influence: a revised voter model study
BI'11 Proceedings of the 2011 international conference on Brain informatics
Protégé based environment for DL knowledge base structural analysis
ICCCI'11 Proceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part I
Using games with a purpose and bootstrapping to create domain-specific sentiment lexicons
Proceedings of the 20th ACM international conference on Information and knowledge management
Taking advantage of collective knowledge in emergency response systems
Journal of Network and Computer Applications
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work
Unifying and targeting cultural activities via events modelling and profiling
Multimedia Tools and Applications
A new cross-validation technique to evaluate quality of recommender systems
PerMIn'12 Proceedings of the First Indo-Japan conference on Perception and Machine Intelligence
Multimedia Tools and Applications
A retrieval method adaptively reducing user's subjective impression gap
Multimedia Tools and Applications
Can machine learning algorithms improve phrase selection in hybrid machine translation?
EACL 2012 Proceedings of the Joint Workshop on Exploiting Synergies between Information Retrieval and Machine Translation (ESIRMT) and Hybrid Approaches to Machine Translation (HyTra)
Machine learning for hybrid machine translation
WMT '12 Proceedings of the Seventh Workshop on Statistical Machine Translation
A comprehensive survey of the feature extraction methods in the EEG research
ICA3PP'12 Proceedings of the 12th international conference on Algorithms and Architectures for Parallel Processing - Volume Part II
Knowledge Acquisition for Medical Diagnosis Using Collective Intelligence
Journal of Medical Systems
A dynamically semantic platform for efficient information retrieval in P2P networks
International Journal of Grid and Utility Computing
Polarization and Non-Positive Social Influence: A Hopfield Model of Emergent Structure
International Journal of Knowledge and Systems Science
Social Networked Multi-agent Negotiation in Ontology Alignment
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
Identifying incompatible service implementations using pooled decision trees
Proceedings of the 28th Annual ACM Symposium on Applied Computing
Software for weighted structured low-rank approximation
Journal of Computational and Applied Mathematics
Using Planning with Action Preference in Story Generation
Proceedings of International Conference on Advances in Mobile Computing & Multimedia
Gamification aware: users perception about game elements on non-game context
Proceedings of the 12th Brazilian Symposium on Human Factors in Computing Systems
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Want to tap the power behind search rankings, product recommendations, social bookmarking, and online matchmaking? This fascinating book demonstrates how you can build Web 2.0 applications to mine the enormous amount of data created by people on the Internet. With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you've found it. Programming Collective Intelligence takes you into the world of machine learning and statistics, and explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general -- all from information that you and others collect every day. Each algorithm is described clearly and concisely with code that can immediately be used on your web site, blog, Wiki, or specialized application. This book explains: Collaborative filtering techniques that enable online retailers to recommend products or mediaMethods of clustering to detect groups of similar items in a large datasetSearch engine features -- crawlers, indexers, query engines, and the PageRank algorithmOptimization algorithms that search millions of possible solutions to a problem and choose the best oneBayesian filtering, used in spam filters for classifying documents based on word types and other featuresUsing decision trees not only to make predictions, but to model the way decisions are madePredicting numerical values rather than classifications to build price modelsSupport vector machines to match people in online dating sitesNon-negative matrix factorization to find the independent features in a datasetEvolving intelligence for problem solving -- how a computer develops its skill by improving its own code the more it plays a game Each chapter includes exercises for extending the algorithms to make them more powerful. Go beyond simple database-backed applications and put the wealth of Internet data to work for you. "Bravo! I cannot think of a better way for a developer to first learn these algorithms and methods, nor can I think of a better way for me (an old AI dog) to reinvigorate my knowledge of the details." -- Dan Russell, Google "Toby's book does a great job of breaking down the complex subject matter of machine-learning algorithms into practical, easy-to-understand examples that can be directly applied to analysis of social interaction across the Web today. If I had this book two years ago, it would have saved precious time going down some fruitless paths." -- Tim Wolters, CTO, Collective Intellect