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Unformatted text preview: 6.2 Introduc)on to Informa)on Retrieval Measuring user happiness Introduc)on to Informa)on Retrieval Sec. 8.1 Happiness: elusive to measure   Enterprise (company/govt/academic): Care about “user produc)vity”   Most common proxy: relevance of search results   But how do you measure relevance?   We will detail a methodology here, then examine its issues   Relevance measurement requires 3 elements:   How much )me do my users save when looking for informa)on?   Many other criteria having to do with breadth of access, secure access, etc. 1.  A benchmark document collec)on 2.  A benchmark suite of queries 3.  A usually binary assessment of either Relevant or Nonrelevant for each query and each document   Some work on more ­than ­binary, but not the standard 7 Sec. 8.1 Introduc)on to Informa)on Retrieval 8 Introduc)on to Informa)on Retrieval Sec. 8.2 Evalua)ng an IR system Standard relevance benchmarks   Note: the informa(on need is translated into a query   Relevance is assessed rela)ve to the informa(on need not the query   E.g., Informa)on need: I'm looking for informa)on on whether drinking red wine is more effec)ve at reducing your risk of heart a<acks than white wine.   Query: wine...
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