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.