'Recommender systems' diaporamas de présentation

Lessons from the Netflix Prize

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Item Based Collaborative Filtering Recommendation Algorithms

Item Based Collaborative Filtering Recommendation Algorithms. Badrul Sarvar, George Karypis, Joseph Konstan & John Riedl. http://citeseer.nj.nec.com/sarwar01itembased.html By Vered Kunik 025483819. Article Layout -. Analyze different item-based recommendation generation algorithms.

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Chapter 12 (Section 12.4) : Recommender Systems

Chapter 12 (Section 12.4) : Recommender Systems. Second edition of the book, coming soon. Road Map. Introduction Content-based recommendation Collaborative filtering based recommendation K-nearest neighbor Association rules Matrix factorization. Introduction.

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User System Interface CSC 8570-001

User System Interface CSC 8570-001 Spring 2009 Instructor: Robert E. Beck Introductions (1) Information sheet Questionnaire: student information Questions Who invented the computer mouse? When? Where? What battery operated devices do you have with you tonight?

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Item Based Collaborative Filtering Recommendation Algorithms

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Machine learning approaches to Attack Detection in Collaborative Recommender Systems

Machine learning approaches to Attack Detection in Collaborative Recommender Systems. Runa Bhaumik College of Computing and Digital Media DePaul University Chicago, Illinois. Outline. Vulnerabilities in collaborative recommendation Background, types of attacks and examples

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From swarming to collaborative filtering.

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TrustWalker: A Random Walk Model for Combining Trust-based and Item-based Recommendation

TrustWalker: A Random Walk Model for Combining Trust-based and Item-based Recommendation. Mohsen Jamali & Martin Ester Simon Fraser University, Vancouver, Canada. Introduction TrustWalker Single Random Walk Recommendation Matrix Notation Properties of TrustWalker

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Realtime BI - Online Targeted Advertising

Zhangxi Lin ISQS 3358 Texas Tech University. Realtime BI - Online Targeted Advertising . Internet-based Targeted Marketing Targeted Banner Advertising Online Recommender Systems. Agenda. Internet-based Targeted Marketing.

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Agent Technology for e-Commerce

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Temporal Diversity in Recommender Systems

Temporal Diversity in Recommender Systems. Neal Lathia , Stephen Hailes , Licia Capra , and Xavier Amatriain SIGIR 2010 April 6, 2011 Hyunwoo Kim. Outline. Introduction Why Temporal Diversity? Evaluating for Diversity Promoting Temporal Diversity Conclusion. Introduction.

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Recommendation Websites StumbleUpon and Pandora Radio among many others.

Recommendation Websites StumbleUpon and Pandora Radio among many others. How personalized can a recommendation website be? . What is the recommendation website/search engines?.

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Collaborative Filtering and Recommender Systems

Collaborative Filtering and Recommender Systems. Brian Lewis INF 385Q Knowledge Management Systems November 10, 2005. Presentation Outline. Collaborative filtering and recommender systems defined Novel example Readings - overview & key concepts Glance, Arregui & Dardenne (1997)

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Mining Semantic Data for Solving First-rater and Cold-start Problems in Recommender Systems

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fox@vt fox.cs.vt Dept. of Computer Science, Virginia Tech

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Paradigm in Human Computer Interaction

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ACM Recommender Systems 2012

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Memory-Based Recommender Systems : A Comparative Study

CSCI 572 PROJECT RECOMPARATOR. Memory-Based Recommender Systems : A Comparative Study. Aaron John Mani Srinivas Ramani. Problem definition. This project is a comparative study of two movie recommendation systems based on collaborative filtering. User-User Rating vs Item-Item Rating

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CONCLUSION & FUTURE WORK

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