'Ranked list' presentation slideshows

Active Learning for Preferences Elicitation in Recommender Systems

Active Learning for Preferences Elicitation in Recommender Systems. Lior Rokach Department of Information System Engineering :. Agenda. Background - Active Learning and Recommender Systems Proposed Method Experimental Procedure Results and Discussion Conclusions and Future Work.

622 views • 51 slides

Querying for relations from the semi-structured Web

Querying for relations from the semi-structured Web. Sunita Sarawagi IIT Bombay http://www.cse.iitb.ac.in/~sunita Contributors Rahul Gupta Girija Limaye Prashant Borole Rakesh Pimplikar Aditya Somani. Web Search. Mainstream web search User ? Keyword queries

613 views • 50 slides

Agile Project Management

Agile Project Management. What Is Agile?. Agile is a group of software development methodologies Scrum Extreme Programming (XP) Lean Etc. Key Characteristics: Small increments Adaptive to change Collaborative. Defining Agility. Individuals and interactions over processes and tools

961 views • 47 slides

Information Retrieval: Problem Formulation & Evaluation

Information Retrieval: Problem Formulation & Evaluation. ChengXiang Zhai Department of Computer Science University of Illinois, Urbana-Champaign. Research Process. Identification of a research question/topic Propose a possible solution/answer (formulate a hypothesis )

537 views • 39 slides

Non-parametric statistics

2.02k views • 34 slides

Human versus Machine in the Topic Distillation Task

Human versus Machine in the Topic Distillation Task. Gheorghe Muresan Muh-Chyun Tang Yuelin Li, Hyuk-Jin Lee Nicholas J. Belkin. Mingfang Wu Alistair McLean Ross Wilkinson. Outline. Introduction to the topic distillation task: Automatic vs. interactive Our research questions:

454 views • 33 slides

Federated Search of Text Search Engines in Uncooperative Environments

Federated Search of Text Search Engines in Uncooperative Environments. Luo Si Language Technology Institute School of Computer Science Carnegie Mellon University Advisor Jamie Callan (Carnegie Mellon University). Outline. Outline: Introduction: Introduction to federated search

463 views • 25 slides

Discovery of drug mode of action and drug repositioning from transcriptional responses

Discovery of drug mode of action and drug repositioning from transcriptional responses. Francesco Iorioa,b , Roberta Bosottic , Emanuela Scacheric , Vincenzo Belcastroa , Pratibha Mithbaokara , Rosa Ferrieroa ,

446 views • 23 slides

Missouri Go Local Goes Public

Missouri Go Local Goes Public. Deborah Ward, Director Barb Jones, NN/LM - Missouri Liaison Health Sciences Library University of Missouri - Columbia. Acknowledgements. Amanda McConnell Ted Gallion Cindy Martin Diane Johnson NLM GoLocal Team. Collaboration of Partners.

296 views • 21 slides

213 views • 20 slides

Condorcet Voting

Condorcet Voting. By: Krystle Stehno. Voting Theory. In voting theory, the goal is to make the largest number of people happy while allowing everyone to vote honestly. http://www.hamburg.mi.us/clerk/images/vote-graphic.png. http://www.mclib.org/voting_booth.gif. Voting Methods.

452 views • 19 slides

Condorcet Voting

Condorcet Voting. By: Krystle Stehno. Voting Theory. In voting theory, the goal is to make the largest number of people happy while allowing everyone to vote honestly. http://www.hamburg.mi.us/clerk/images/vote-graphic.png. http://www.mclib.org/voting_booth.gif. Voting Methods.

288 views • 19 slides

Condorcet Voting

Condorcet Voting. By: Krystle Stehno. Voting Theory. In voting theory, the goal is to make the largest number of people happy while allowing everyone to vote honestly. http://www.hamburg.mi.us/clerk/images/vote-graphic.png. http://www.mclib.org/voting_booth.gif. Voting Methods.

307 views • 19 slides

Tightly Coupling Search and Structure

153 views • 15 slides

Your Mental and Emotional Health

279 views • 11 slides

First Annual Lee Teng Summer Internship

251 views • 8 slides