'Ranked results' diaporamas de présentation

Chapter 10 Evaluation

Chapter 10 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. Evaluating search engines. Sec. 8.6. Measures for a search engine.

616 views • 52 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

641 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

506 views • 50 slides

CSCI 5417 Information Retrieval Systems Jim Martin

586 views • 44 slides

Robert Matthews, Nigel Mortimer, Anna Evans, Charlotte Hatto, Onesmus Mwabonje, Ewan Mackie,

375 views • 37 slides

Ranking Tweets Considering Trust and Relevance

Ranking Tweets Considering Trust and Relevance. Srijith Ravikumar,Raju Balakrishnan, and Subbarao Kambhampati Arizona State University. 1. One of the most prominent micro-blogging service.

250 views • 16 slides

Evaluating search engines

Evaluating search engines. Sec. 8.6. Measures for a search engine. How fast does it index Number of documents/hour (Average document size) How fast does it search Latency as a function of index size Expressiveness of query language Ability to express complex information needs

160 views • 8 slides