'Probability ranking principle' presentation slideshows

Information Retrieval and Search Engines

Information Retrieval and Search Engines. Lecture 7: Probabilistic Information Retrieval and Language Models Prof . Michael R. Lyu. Motivation of This Lecture. Given an information need and a collection of documents , a system must determine how well the documents satisfy the query

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Chapter 11 Probabilistic Information Retrieval

Chapter 11 Probabilistic Information Retrieval. Why probabilities in IR?. Query Representation. Understanding of user need is uncertain. User Information Need. How to match?. Uncertain guess of whether document has relevant content. Document Representation. Documents.

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Indexing and Representation: The Vector Space Model

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Chapter III: Ranking Principles

551 views • 37 slides

Computing Relevance, Similarity: The Vector Space Model

439 views • 37 slides

Computing Relevance, Similarity: The Vector Space Model

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Computing Relevance, Similarity: The Vector Space Model

354 views • 34 slides

Probabilistic Information Retrieval Chris Manning, Pandu Nayak and Prabhakar Raghavan

476 views • 31 slides

Introduction to Information Retrieval (IR)

Introduction to Information Retrieval (IR) Mark Craven craven@cs.wisc.edu craven@biostat.wisc.edu 5730 Medical Sciences Center Documents and Corpora document: a passage of free text or hypertext Usenet posting Web page newswire story MEDLINE abstract journal article

560 views • 22 slides