'Ranked retrieval' diaporamas de présentation

Ranked Retrieval

Ranked Retrieval. LBSC 796/INFM 718R Session 3 September 24, 2007. Agenda. Ranked retrieval Similarity-based ranking Probability-based ranking. The Perfect Query Paradox. Every information need has a perfect result set All the relevant documents, no others

748 views • 74 slides

Ranked Retrieval

Ranked Retrieval. LBSC 796/INFM 718R Session 3 February 16, 2011. Agenda. Ranked retrieval Similarity-based ranking Probability-based ranking. The Perfect Query Paradox. Every information need has a perfect result set All the relevant documents, no others

757 views • 62 slides

Ranked Retrieval

Ranked Retrieval. LBSC 796/INFM 718R Session 3 February 16, 2011. Agenda. Ranked retrieval Similarity-based ranking Probability-based ranking. The Perfect Query Paradox. Every information need has a perfect result set All the relevant documents, no others

628 views • 62 slides

Information Retrieval

Information Retrieval. Session 11 LBSC 671 Creating Information Infrastructures. Agenda. The search process Information retrieval Recommender systems Evaluation. The Memex Machine. More refined and abstract. Wisdom. Knowledge. Information. Data. Information Hierarchy. Databases.

695 views • 49 slides

Jimmy Lin The iSchool University of Maryland Wednesday, October 29, 2008

LBSC 690 Session #9 Unstructured Information: Search Engines. Jimmy Lin The iSchool University of Maryland Wednesday, October 29, 2008.

570 views • 48 slides

Jimmy Lin The iSchool University of Maryland Wednesday, October 29, 2008

LBSC 690 Session #9 Unstructured Information: Search Engines. Jimmy Lin The iSchool University of Maryland Wednesday, October 29, 2008.

483 views • 48 slides

CS276: Information Retrieval and Web Search Pandu Nayak and Prabhakar Raghavan

578 views • 45 slides

Ranked Retrieval

Ranked Retrieval. LBSC 796/INFM 718R Session 3 September 14, 2011. Agenda. Ranked retrieval Similarity-based ranking Exam, Project and Homework. The Perfect Query Paradox. Every information need has a perfect result set All the relevant documents, no others

573 views • 43 slides

The CompleteSearch Engine: Interactive, Efficient, and Towards IR & DB integration

405 views • 30 slides

SNFS: The design and implementation of a Social Network File System

SNFS: The design and implementation of a Social Network File System. Ch. Kaidos, A. Pasiopoulos N. Ntarmos, P. Triantafillou University of Patras. Shameless plug. If interested, please check out eXO: Decentralized Autonomous Scalable Social Networking ,

395 views • 28 slides

Methods for Virtual Screening and Scaffold Hopping for Chemical Compounds

Methods for Virtual Screening and Scaffold Hopping for Chemical Compounds. Nikil Wale 1 , George Karypis 1 , Ian A. Watson 2 1 Department of Computer Science & Engineering, University of Minnesota. nwale@cs.umn.edu , karypis@cs.umn.edu

613 views • 28 slides

Automated Image Annotation Using Global Features and Robust Nonparametric Density Estimation

Automated Image Annotation Using Global Features and Robust Nonparametric Density Estimation. Alexei Yavlinsky, Edward Schoeld and Stefan Ruger CIVR 2005. A simple framework for image annotation.

309 views • 18 slides

INFORMATION RETRIEVAL TECHNIQUES BY DR. ADNAN ABID

INFORMATION RETRIEVAL TECHNIQUES BY DR. ADNAN ABID. Lecture # 3 Boolean Retrieval Model Rank Retrieval Model. ACKNOWLEDGEMENTS. The presentation of this lecture has been taken from the following sources

174 views • 17 slides

The CompleteSearch Engine: Interactive, Efficient, and Towards IR&DB integration

The CompleteSearch Engine: Interactive, Efficient, and Towards IR&DB integration. CIDR 2007 in Asilomar, California, 8 th January 2007. Holger Bast Max-Planck-Institut für Informatik Saarbrücken, Germany joint work with Ingmar Weber. IR versus DB (simplified view).

189 views • 11 slides

The CompleteSearch Engine: Interactive, Efficient, and Towards IR&DB integration

174 views • 11 slides