What to Learn Next: Recommending Commands in a Feature-Rich Environment
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[1] Eric Horvitz,et al. The Lumière Project: Bayesian User Modeling for Inferring the Goals and Needs of Software Users , 1998, UAI.
[2] M Damashek,et al. Gauging Similarity with n-Grams: Language-Independent Categorization of Text , 1995, Science.
[3] John Riedl,et al. Application of Dimensionality Reduction in Recommender System - A Case Study , 2000 .
[4] Boi Faltings,et al. Personalized News Recommendation Based on Collaborative Filtering , 2012, 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology.
[5] Frank Linton,et al. OWL: A Recommender System for Organization-Wide Learning , 2000, J. Educ. Technol. Soc..
[6] John Riedl,et al. Item-based collaborative filtering recommendation algorithms , 2001, WWW '01.
[7] Houari A. Sahraoui,et al. Mining Multi-level API Usage Patterns , 2015, 2015 IEEE 22nd International Conference on Software Analysis, Evolution, and Reengineering (SANER).
[8] Xue Li,et al. Time weight collaborative filtering , 2005, CIKM '05.
[9] Nitesh V. Chawla,et al. New perspectives and methods in link prediction , 2010, KDD.
[10] Emerson R. Murphy-Hill,et al. Can Social Screencasting Help Developers Learn New Tools? , 2015, 2015 IEEE/ACM 8th International Workshop on Cooperative and Human Aspects of Software Engineering.
[11] Gail C. Murphy,et al. Improving program navigation with an active help system , 2010, CASCON.
[12] Yehuda Koren,et al. Matrix Factorization Techniques for Recommender Systems , 2009, Computer.
[13] Michael I. Jordan,et al. Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..
[14] Karen Spärck Jones. A statistical interpretation of term specificity and its application in retrieval , 2021, J. Documentation.
[15] Yoram Singer,et al. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization , 2011, J. Mach. Learn. Res..
[16] Gediminas Adomavicius,et al. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions , 2005, IEEE Transactions on Knowledge and Data Engineering.
[17] Yehuda Koren. Tutorial on recent progress in collaborative filtering , 2008, RecSys '08.
[18] Sarah Jane Delany. k-Nearest Neighbour Classifiers , 2007 .
[19] อนิรุธ สืบสิงห์,et al. Data Mining Practical Machine Learning Tools and Techniques , 2014 .
[20] Mohammad Al Hasan,et al. Link prediction using supervised learning , 2006 .
[21] Emerson R. Murphy-Hill. Continuous social screencasting to facilitate software tool discovery , 2012, 2012 34th International Conference on Software Engineering (ICSE).
[22] P. Cochat,et al. Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.
[23] Emerson Murphy-Hill,et al. Improving software developers' fluency by recommending development environment commands , 2012, SIGSOFT FSE.
[24] Hsinchun Chen,et al. Recommendation as link prediction in bipartite graphs: A graph kernel-based machine learning approach , 2013, Decis. Support Syst..
[25] Surya Ganguli,et al. Fast large-scale optimization by unifying stochastic gradient and quasi-Newton methods , 2013, ICML.
[26] Kevin P. Murphy,et al. Machine learning - a probabilistic perspective , 2012, Adaptive computation and machine learning series.
[27] Ioannis Konstas,et al. On social networks and collaborative recommendation , 2009, SIGIR.
[28] Carlos Guestrin,et al. Distributed GraphLab : A Framework for Machine Learning and Data Mining in the Cloud , 2012 .
[29] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[30] Dr. Ajay Gupta. Comparison of Static , 2006 .
[31] Lise Getoor,et al. Using Friendship Ties and Family Circles for Link Prediction , 2008, SNAKDD.
[32] Fidel Cacheda,et al. Algorithms for Efficient Collaborative Filtering , 2008 .
[33] Chih-Jen Lin,et al. Dual coordinate descent methods for logistic regression and maximum entropy models , 2011, Machine Learning.
[34] Rossano Schifanella,et al. Cold-start news recommendation with domain-dependent browse graph , 2014, RecSys '14.
[35] Michael Twidale,et al. Over the Shoulder Learning: Supporting Brief Informal Learning , 2005, Computer Supported Cooperative Work (CSCW).
[36] Adam Fourney,et al. Query-feature graphs: bridging user vocabulary and system functionality , 2011, UIST '11.
[37] Andrea Bunt,et al. Exploring Personalized Command Recommendations based on Information Found in Web Documentation , 2015, IUI.
[38] Daniel S. Weld,et al. Exploring the design space for adaptive graphical user interfaces , 2006, AVI '06.
[39] David P. Doane,et al. Measuring Skewness: A Forgotten Statistic? , 2011 .
[40] Charu C. Aggarwal,et al. Co-author Relationship Prediction in Heterogeneous Bibliographic Networks , 2011, 2011 International Conference on Advances in Social Networks Analysis and Mining.
[41] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[42] Jiawei Han,et al. Frequent pattern mining: current status and future directions , 2007, Data Mining and Knowledge Discovery.
[43] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[44] Ramakrishnan Srikant,et al. Mining Sequential Patterns: Generalizations and Performance Improvements , 1996, EDBT.
[45] Robert L. Mercer,et al. Class-Based n-gram Models of Natural Language , 1992, CL.
[46] Junjie Yao,et al. Challenging the Long Tail Recommendation , 2012, Proc. VLDB Endow..
[47] Robert H. Halstead,et al. Matrix Computations , 2011, Encyclopedia of Parallel Computing.
[48] Hsinchun Chen,et al. Link prediction approach to collaborative filtering , 2005, Proceedings of the 5th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL '05).
[49] David J. Spiegelhalter,et al. Machine Learning, Neural and Statistical Classification , 2009 .
[50] Mohsen Vakilian,et al. A Practical Guide to Analyzing IDE Usage Data , 2015, The Art and Science of Analyzing Software Data.
[51] Tovi Grossman,et al. Design and evaluation of a command recommendation system for software applications , 2011, TCHI.
[52] Chih-Jen Lin,et al. LIBLINEAR: A Library for Large Linear Classification , 2008, J. Mach. Learn. Res..
[53] Andrea Bunt,et al. Understanding the Roles and Uses of Web Tutorials , 2013, ICWSM.
[54] Jon M. Kleinberg,et al. The link-prediction problem for social networks , 2007, J. Assoc. Inf. Sci. Technol..
[55] Roberto Turrin,et al. Performance of recommender algorithms on top-n recommendation tasks , 2010, RecSys '10.
[56] Tovi Grossman,et al. CommunityCommands: command recommendations for software applications , 2009, UIST '09.