PDF-Steering User Behavior with Badges Ashton Anderson Daniel Huttenlocher Jon Kleinberg Jure

stanfordedu dph kleinbercscornelledu jurecsstanfordedu ABSTRACT An increasingly common feature of online communities and social media sites is a mechanism for rewarding user achievements based on a system of badges Badges are given to users for part. stanfordedu cristianmpiswsorg Abstract Social media systems rely on user feedback and rating mechanisms for personalization ranking and content 64257ltering However when users evaluate content con tributed by fellow users eg by liking a post or votin stanfordedu Biomedical Informatics Stanford University plependu nigamstanfordedu ABSTRACT Event sequences such as patients medical histories or users se quences of product reviews trace how individuals progress over time Identifying common patterns o edu Jure Leskovec Stanford University jurecsstanfordedu Abstract Nodes in realworld networks organize into densely linked communities where edges appear with high con centration among the members of the community Identifying such communities of nodes technology behind a . library badges program. J. Lindsay O’Neill. Instructional Design Librarian. Faculty, M.S. Instructional Design & Technology. California State University, Fullerton. Slides: . Languages . to Information. Dan Jurafsky. Stanford University. Recommender Systems & Collaborative Filtering. Slides adapted from Jure . Leskovec. Recommender Systems. Customer X. Buys CD of Mozart. CS246: Mining Massive Datasets. Jure Leskovec, . Stanford University. http://cs246.stanford.edu. Recap: Finding similar documents. Task:. . Given a large number (. N. in the millions or billions) of documents, find “near duplicates”. CS246: Mining Massive Datasets. Jure Leskovec, . Stanford University. http://cs246.stanford.edu. Recap: Finding similar documents. Task:. . Given a large number (. N. in the millions or billions) of documents, find “near duplicates”. Born February 7, 1978 in Cedar Rapids ( low, USA ) . In 1997, while Ashton Kutcher studied biochemistry at the University of low, a beauty contest. Upsets projects and propels New York . Where he began a short Calvin Klein and finds his activity as a. Decision Trees on MapReduce CS246: Mining Massive Datasets Jure Leskovec, Stanford University http://cs246.stanford.edu Decision Tree Learning Give one attribute (e.g., lifespan), try to predict the value of new people’s lifespans by means of some of the other available attribute Network Formation Processes: Power-law degree distributions and Preferential Attachment CS224W: Social and Information Network Analysis Jure Leskovec , Stanford University http://cs224w.stanford.edu Languages . to Information. Dan Jurafsky. Stanford University. Recommender Systems & Collaborative Filtering. Slides adapted from Jure . Leskovec. Recommender Systems. Customer X. Buys CD of Mozart. Behavior. CS224W: Social and Information Network Analysis. Jure . Leskovec. , . Stanford University. http://cs224w.stanford.edu. Spreading Through Networks. Spreading through networks:. Cascading behavior. Ranking Nodes on the Graph. Web pages are not equally “important”. www.joe-schmoe.com. vs. . www.stanford.edu. . Since there is large diversity . in the connectivity of the . web graph we can . Intersection of news media technology and the political processFrom its early stages a tension between global effects from the mass media and local effects carried by social structureHow does informat