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Autocomplete Based on Ternary Search Tree

Autocomplete Based on Ternary Search Tree. Niu Wenhao , Lu Yan, Wang Sangtian. Part 1. Motivation and Introduction. ——By Niu Wenhao. Motivation. Motivation To improve the performance of autocomplete function of Acemap. Original autocomplete function.

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Autocomplete Based on Ternary Search Tree

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  1. Autocomplete Based on Ternary Search Tree NiuWenhao, Lu Yan, Wang Sangtian

  2. Part 1 MotivationandIntroduction ——ByNiuWenhao

  3. Motivation • Motivation • ToimprovetheperformanceofautocompletefunctionofAcemap.

  4. Originalautocompletefunction • Therearesomeproblemsinoriginalautocompletefunction. Largememorycosts Redis Veryslowforsomekeywords

  5. Oursolution • TernarySearchTree(TST)

  6. Demo • Demo • 202.120.36.137:8123/Autocomplete_v1.5 • ReturnaJSON

  7. JavaWeb • JavaWeb • Environment:JavaSEDevelopmentKit8.0 • Server:ApacheTomcat7.0 • IDE:Eclipse

  8. JavaWeb Server Request JSP Page Servlet Response

  9. Part 2 DetailsaboutTST ——ByLuYan

  10. Ternary Search Tree • Assign a character to each node. • Give each node three links: • Left link if key’s next character < node’s character • Middle link if key’s next character == node’s character • Right link if key’s next character > node’s character

  11. After inserting “sam” s a s a w a m l d m p s e

  12. After inserting “sam”, “sad” s a s a d w a m l d m p s e

  13. After inserting “sam”, “sad”, “sap” s a s a d p w a m l d m p s e

  14. After inserting “sam”, “sad”, “sap”, “same” s a s a d e p w a m l d m p s e

  15. After inserting “sam”, “sad”, “sap”, “same”, “a” s a s a a d e p w a m l d m p s e

  16. After inserting “sam”, “sad”, “sap”, “same”, “a”, and “awls” s a s a a d e p w a m w l d m p l s e s

  17. Performance

  18. KeepTSTinmemoryforever. • KeepTSTinmemoryforever. • Veryimportant! • BuildaTST:longtime • SearchinTST:nomorethan1ms

  19. Part 3 Improve user experience ——ByWangSangtian

  20. Improve user experience • Sorry, I type in wrong prefix! • What’s your middle name? • What about abbreviation? • They have same name…… • Useless data in database.

  21. Sorry, I type inwrong prefix! • Users may type in wrong prefix. Xinbing Wang xinbing xinbnig Wrong xinbiing

  22. Sorry, I type wrong prefix! • Exhaustion method • Exchange adjacent characters xibnnig xinnbig xinbnig xinbing xinbngi

  23. Sorry, I type wrong prefix! • Exhaustion method • Delete one character xibiing -- delete “n” xiniig -- delete “b” xinbiing xinbing -- delete “i” … --delete “i”, “n”, “g”

  24. What’s your middle name? • Some users don’t know the author’s middle name.

  25. What about abbreviation? • Users are more familiar with abbreviations of affiliations.

  26. They have same name… • There are 16 authors named “Tao Wang” in our database. tao wang:7D1EAAC6 Name + ID tao wang:7DAE408A tao wang:7DC34BA9

  27. Useless data in database • There are some useless data in database.

  28. Q&A

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