Compound Words Query Parser - ApacheCon

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pink jeans by google https://www.google.com/search?hl=ru&tbm=shop&q=pink+sweater&oq=pink+sweater&gs_l=products-cc.3.. 0l7j0i5l3.4658.7244.0.7699.12.11.0.1.1.0.298.1153.5j4j1.10.0...0.0...1ac.1. denzbOMlNDg#q=pink+sweater&hl=ru&tbm=shop&ei=oDmIUPXgAoqC4gSylYGACg&start=20&sa=N&num=20&
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 17 and 18: ight pink jeans
Page 19 and 20: Polysemy Problem No.2 sweater BRAND
Page 21 and 22: pink rose sweater precise pink rose
Page 23 and 24: Ranking Can't Help
Page 25: Think About the User http://tustinh
Page 28 and 29: Wrap-Up ● Product Descriptions Di
Page 30 and 31: Don't tokenize at index time
Page 32 and 33: lack and decker toaster oven "black
Page 34 and 35: lack and decker toaster oven "black
Page 37 and 38: Part III Staged Search
Page 39 and 40: Actual Expected
Page 41 and 42: Actual Expected Precision = Actual
Page 43 and 44: 100% Recall Actual Expected
Page 45 and 46: Tuning Trade-Off Actual Expected
Page 47 and 48: Tuning Trade-Off Actual Expected
Page 49 and 50: defaultSearchField / queryFields BR
Page 51 and 52: ORDer by DESCending Precision BRAND
Page 53 and 54: Searching Complexity O(n log p) num
Page 55 and 56: Think About The User http://tustinh
Page 57 and 58: BRAND:(Silver AND Jeans) numFound>0
Page 59 and 60: Explain Info 15.110098 = (MATCH) su
Page 61 and 62: found 190 BRAND: "Silver Jeans" - (
Page 63: Wrap-Up ● eCommerce Search is Spe

Compound Words Query Parser - ApacheCon

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