'Skip pointers' presentation slideshows

Information retrieval

Information retrieval. 201 9 /20 20. ir process. IR Models. Set Theoretic Models Boolean Fuzzy Extended Boolean Vector Models (Algebraic) Probabilistic Models (probabilistic) Others (e.g., neural networks, etc.). Boolean IR Model. Based on Boolean Logic (Algebra of Sets)

825 views • 82 slides

Information Retrieval

Information Retrieval. Lecture 2: Dictionary and Postings. Tokenizer. Friends. Romans. Countrymen. Token stream. Linguistic modules. friend. friend. roman. countryman. Modified tokens. roman. Indexer. 2. 4. countryman. 1. 2. Inverted index. 16. 13.

546 views • 53 slides

Information Retrieval and Text Mining

Lecture 2. Information Retrieval and Text Mining. Recap of the previous lecture. Basic inverted indexes: Structure: Dictionary and Postings Key step in construction: Sorting Boolean query processing Simple optimization Linear time merging Overview of course topics. Plan for this lecture.

622 views • 49 slides

Information Retrieval and Web Search

Information Retrieval and Web Search. Lecture 2: Dictionary and Postings. Recap of the previous lecture. Basic inverted indexes: Structure: Dictionary and Postings Key step in construction: Sorting Boolean query processing Simple optimization Linear time merging Overview of course topics.

558 views • 48 slides

Information Retrieval and Web Search

Information Retrieval and Web Search. Lecture 2: Dictionary and Postings. Recap of the previous lecture. Basic inverted indexes: Structure: Dictionary and Postings Key step in construction: Sorting Boolean query processing Simple optimization Linear time merging Overview of course topics.

560 views • 48 slides

Dictionary and Postings; Query Processing

Dictionary and Postings; Query Processing. Adapted from Lectures by Prabhakar Raghavan (Yahoo and Stanford) and Christopher Manning (Stanford). This lecture agenda. Difficulties with tokenization Improving efficiency using enhanced data structures and algorithms : Skip pointers

539 views • 46 slides

Dictionary and Postings; Query Processing

Dictionary and Postings; Query Processing. Adapted from Lectures by Prabhakar Raghavan (Yahoo and Stanford) and Christopher Manning (Stanford). Tokenizer. Friends. Romans. Countrymen. Token stream. Linguistic modules. friend. friend. roman. countryman. Modified tokens. roman.

508 views • 44 slides

Information Retrieval

447 views • 44 slides

More on Tokenization, Indexing, Implementation

444 views • 44 slides

CES 514 Data Mining Feb 17, 2010

CES 514 Data Mining Feb 17, 2010 Lecture 2: The term vocabulary and postings lists. Ch. 1. Recap of the previous lecture. Basic inverted indexes: Structure: Dictionary and Postings Key step in construction: Sorting Boolean query processing

492 views • 42 slides

CES 514 Data Mining Feb 17, 2010

CES 514 Data Mining Feb 17, 2010 Lecture 2: The term vocabulary and postings lists. Ch. 1. Recap of the previous lecture. Basic inverted indexes: Structure: Dictionary and Postings Key step in construction: Sorting Boolean query processing

425 views • 42 slides

Faster postings merges: Skip pointers/Skip lists

Faster postings merges: Skip pointers/Skip lists. Sec. 2.3. Recall basic merge. Walk through the two postings simultaneously, in time linear in the total number of postings entries. 2. 4. 8. 41. 48. 64. 128. Brutus. 2. 8. 1. 2. 3. 8. 11. 17. 21. 31. Caesar.

74 views • 7 slides