Home page of 8th European Summer School on information Retrieval
Textbook for Models and Methods: Introduction to Information Retrieval. Christopher D. Manning, Prabhakar Raghavan and Hinrich Schütze. Cambridge University Press, 2008. Web publication at http://informationretrieval.org
Stuttgart information retrieval class
topic | chapter | resources | ||||
IIR 01 | Boolean model and its limitations | pdf html | slides | |||
information retrieval links | ||||||
search Shakespeare | ||||||
Daniel Russell's home page | ||||||
topic | chapter | resources | ||||
IIR 06&07 | Vector space model | pdf-06 html-06 | slides | |||
pdf-07 html-07 | ||||||
Gerald Salton | ||||||
exploring the similarity space | ||||||
pivot normalization | ||||||
topic | chapter | resources | ||||
IIR 11 | Probabilistic information retrieval | pdf html | slides | |||
Binary independence model | ||||||
Okapi BM25 | ||||||
why the Naive Bayes assumption works | ||||||
topic | chapter | resources | ||||
IIR 12 | Language models for IR | pdf html | slides | |||
Ponte & Croft paper on LMs in IR | ||||||
Zhai & Lafferty | ||||||
Lemur Toolkit | ||||||
Bernoulli vs. multinomial models | ||||||
topic | chapter | resources | ||||
IIR 18 | Latent semantic indexing | pdf html | slides | |||
original LSI paper | ||||||
probabilistic LSI | ||||||
dimensions of meaning: LSI for words | ||||||
topic | chapter | resources | ||||
IIR 15 | Learning to rank (LTR) and SVMs | pdf html | slides | |||
learning to rank references | ||||||
Microsoft LTR datasets | ||||||
how Google tweaks ranking |