Compound Words Query Parser - ApacheCon

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defaultOperator AND OR numFound=100 numFound=1000
defaultSearchField / queryFields BRAND BRAND TYPE STYLE text numFound=100 numFound=1000
Page 1 and 2: Compound Words Query Parser Mikhail
Page 3 and 4: Part I eCommerce Search is Special
Page 5 and 6: Does she search this way? +"michael
Page 7 and 8: Plain Text Documents Lorem ipsum do
Page 9 and 10: Product Catalog Document BRAND: GEN
Page 11 and 12: Polysemy Problem COLOR:"Pink" TYPE:
Page 13: http://www.shopstyle.com/browse/swe
Page 16 and 17: pink jeans by google https://www.go
Page 18 and 19: ight pink jeans
Page 20 and 21: pink rose sweater pink rose jeans p
Page 22 and 23: Ranking Can't Help
Page 24 and 25: Precision is a MUST!
Page 27 and 28: http://www.amazon.com/Silver-Jeans/
Page 29 and 30: Part II Compound Words Query Parser
Page 31 and 32: lack and decker toaster oven "black
Page 33 and 34: lack and decker toaster oven "black
Page 35: fee people sweater
Page 38 and 39: Expected
Page 40 and 41: Actual Expected × OK × False Posi
Page 42 and 43: Actual Expected Recall = Actual ∩
Page 44 and 45: Tuning Trade-Off Actual Expected
Page 46 and 47: Tuning Trade-Off Actual Expected
Page 50 and 51: Stemming & Synonyms text text_stemm
Page 52 and 53: BRAND:(Silver AND Jeans) numFound>0
Page 54 and 55: Stages Ratios Compounds - Exact Mat
Page 56 and 57: Part IV Match Spotting
Page 58 and 59: Facet Counts
Page 60 and 61: Explain Info Facet Counts Match Spo
Page 62 and 63: http://www.amazon.com/Silver-Jeans/

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