Key: ppt = powerpoint, pdf = pdf optimized for presentation, pdf = pdf optimized for printing, src = latex source of pdf

powerpoint | latex | ||||

01 | Boolean retrieval | ppt1 ppt2 pdf pdf | src | ||

02 | The term vocabulary & postings lists | ppt1 ppt2 pdf pdf | src | ||

03 | Dictionaries and tolerant retrieval | ppt1 ppt2 pdf pdf | src | ||

04 | Index construction | ppt1 ppt2 pdf pdf | src | ||

05 | Index compression | ppt1 ppt2 pdf pdf | src | ||

06 | Scoring, term weighting & the vector space model | ppt1 ppt2 pdf pdf | src | ||

07 | Computing scores in a complete search system | ppt1 ppt2 pdf pdf | src | ||

08 | Evaluation in information retrieval | ppt1 ppt2 pdf pdf | src | ||

09 | Relevance feedback & query expansion | ppt1 ppt2 pdf pdf | src | ||

10 | XML retrieval | (old) ppt2 | src | ||

11 | Probabilistic information retrieval | (old) ppt2 | src | ||

12 | Language models for information retrieval | (old) ppt2 | src | ||

13 | Text classification & Naive Bayes | ppt1 ppt2 pdf pdf | src | ||

14 | Vector space classification | ppt1 ppt2 pdf pdf | src | ||

15-1 | Support vector machines | ppt1 ppt2 pdf pdf | src | ||

15-2 | Learning to rank | ppt1 ppt2 pdf pdf | src | ||

16 | Flat clustering | ppt1 ppt2 pdf pdf | src | ||

17 | Hierarchical clustering | ppt1 ppt2 pdf pdf | src | ||

18 | Matrix decompositions & latent semantic indexing | ppt1 ppt2 pdf pdf | src | ||

19 | Web search basics | ppt1 ppt2 pdf pdf | src | ||

20 | Web crawling and indexes | ppt1 ppt2 pdf pdf | src | ||

21 | Link analysis | ppt1 ppt2 pdf pdf | src |

Slides have also been published by a number of other instructors who are using the book, e.g., by Jim Martin, Donald Patterson Min-Yen Kan, and Zhang & Helmer.