'Irrelevant documents' presentation slideshows

Lecture 8 Query Expansion

1.06k views • 52 slides

Query Operations

Query Operations. Adapted from Lectures by Prabhakar Raghavan (Yahoo, Stanford) and Christopher Manning (Stanford). Recap: Unranked retrieval evaluation: Precision and Recall. Precision : fraction of retrieved docs that are relevant = P(relevant|retrieved)

614 views • 47 slides

Query Operations

Query Operations. Adapted from Lectures by Prabhakar Raghavan (Yahoo, Stanford) and Christopher Manning (Stanford). Recap: Unranked retrieval evaluation: Precision and Recall. Precision : fraction of retrieved docs that are relevant = P(relevant|retrieved)

553 views • 47 slides

CS626/449 : Speech, NLP and the Web/Topics in AI Programming (Lecture 5: Wordnet; Application in Query Expansion)

CS626/449 : Speech, NLP and the Web/Topics in AI Programming (Lecture 5: Wordnet; Application in Query Expansion). Pushpak Bhattacharyya CSE Dept., IIT Bombay . Lexical Matrix. Wordnet - Lexical Matrix (with examples) . Psycholinguistic Theory . Animal. Bird . canary.

744 views • 41 slides

K nearest neighbor and Rocchio algorithm

1.18k views • 28 slides

LATENT SEMANTIC INDEXING

LATENT SEMANTIC INDEXING. Hande Z?rt?lo?lu Levent Altunyurt. OUTLINE. Problem History What is LSI? What we really search? How LSI Works? Concept Space Application Areas Examples Advantages / Disadvantages. PROBLEM. Conventional IR methods depend on boolean vector space

383 views • 21 slides