'Unranked retrieval evaluation' diaporamas de présentation

Evaluation of IR Systems

Evaluation of IR Systems. Adapted from Lectures by Prabhakar Raghavan (Yahoo and Stanford) and Christopher Manning (Stanford). This lecture. How do we summarize results? Making our good results usable to a user How do we know if our results are any good?

762 views • 68 slides

Lecture 9: Evaluation

Lecture 9: Evaluation. Web Search and Mining. How do we know if our results are good? Evaluating a search engine Benchmarks Precision and recall Results summaries: Making our good results usable to a user. This lecture. Evaluating search engines. Measures. How fast does it index

639 views • 50 slides

Lecture 9: Evaluation

Lecture 9: Evaluation. Web Search and Mining. How do we know if our results are good? Evaluating a search engine Benchmarks Precision and recall Results summaries: Making our good results usable to a user. This lecture. Evaluating search engines. Measures. How fast does it index

502 views • 50 slides

CS276 Information Retrieval and Web Search Pandu Nayak and Prabhakar Raghavan Lecture 8: Evaluation

CS276 Information Retrieval and Web Search Pandu Nayak and Prabhakar Raghavan Lecture 8: Evaluation. Sec. 6.2. This lecture. How do we know if our results are any good? Evaluating a search engine Benchmarks Precision and recall Results summaries: Making our good results usable to a user.

833 views • 48 slides

CSCI 5417 Information Retrieval Systems Jim Martin

584 views • 44 slides

Information Retrieval and Web Search Lecture 8: Evaluation

Information Retrieval and Web Search Lecture 8: Evaluation. Sec. 6.2. This lecture. How do we know if our results are any good? Evaluating a search engine Results summaries: Making our good results usable to a user. Evaluating search engines. Sec. 8.6. Measures for a search engine.

475 views • 36 slides