<--- Back to Details
First PageDocument Content
Ranking function / Ranking SVM / Relevance feedback / Google Search / Web search query / Search engine / Document retrieval / Bing / Web query classification / Information science / Information retrieval / Learning to rank
Date: 2011-02-25 12:41:31
Ranking function
Ranking SVM
Relevance feedback
Google Search
Web search query
Search engine
Document retrieval
Bing
Web query classification
Information science
Information retrieval
Learning to rank

Add to Reading List

Source URL: radlinski.org

Download Document from Source Website

File Size: 177,49 KB

Share Document on Facebook

Similar Documents

Solar Backscatter Ultraviolet Instrument (SBUV/2) Version 8 Ozone Retrieval Algorithm Theoretical Basis Document (V8 ATBD) Edited by L. Flynn (Last Revision February 2, 2007) Background The Solar Backscatter Ultraviolet

DocID: 1vj5o - View Document

WAIS Document Retrieval CALIFORNIA CODES GOVERNMENT CODE SECTION

DocID: 1utzZ - View Document

Five SEARCH STRATEGIES Introduction So far very little has been said about the actual process by which the required information is located. In the case of document retrieval the information is the subset of documents wh

DocID: 1uk6Z - View Document

Modern Information Retrieval Chapter 6 Documents: Languages & Properties Metadata Document Formats

DocID: 1tkfN - View Document

Financial Services Date: Common Banner Query Forms FSJA-028 Document Retrieval Inquiry Form

DocID: 1sF8U - View Document