'Term frequencies' presentation slideshows

BM25, BM25F, and User Behavior Chris Manning, Pandu Nayak and Prabhakar Raghavan

BM25, BM25F, and User Behavior Chris Manning, Pandu Nayak and Prabhakar Raghavan. Summary - BIM. Boils down to where Simplifies to (with constant p i = 0.5 ). Log odds ratio. Graphical model for BIM. R. Binary variables. tf i. A key limitation of the BIM.

627 views • 42 slides

Automatically Building a Stopword List for an Information Retrieval System

502 views • 35 slides

AN EFFECTIVE STATISTICAL APPROACH TO BLOG POST OPINION RETRIEVAL

Jiyin He University of Amsterdam. AN EFFECTIVE STATISTICAL APPROACH TO BLOG POST OPINION RETRIEVAL. Ben He Craig Macdonald Iadh Ounis University of Glasgow. CIKM 2008. Introduction. Finding opinionated blog posts is still an open problem.

388 views • 24 slides

AlvisP2P : Scalable Peer-to-Peer Text Retrieval in a Structured P2P Network

AlvisP2P : Scalable Peer-to-Peer Text Retrieval in a Structured P2P Network. Toan Luu , Gleb Skobeltsyn , Fabius Klemm , Maroje Puh , Ivana Podnar Zarko , Martin Rajman , Karl Aberer VLDB_2008. Outlines. Introduction Distributed indexing/retrieval AlvisP2P architecture

358 views • 22 slides

Section 6.1.1 The Idea of Probability

431 views • 15 slides

IR Homework #2

IR Homework #2. By J. H. Wang Mar. 25, 2008. Programming Exercise #2: Term Weighting. Goal: to assign TF-IDF weights for each index term in inverted files Input : inverted index files (the output of HW#1) Output : term weighting files (exact format to be described later).

224 views • 10 slides

Bayesian statistics

Bayesian statistics. Probabilities for everything. Different views on probability. Frequentistic : Probabilities are there to tell us about long-term frequencies. They are objective, solely properties of nature ( aleatoric ).

575 views • 8 slides