Artificial Intelligence – Case-based reasoning for recommender systems – Invited talk at Techsylvania 2015
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Artificial Intelligence is mimicking cognitive abilities. Experience guides us in our learning efforts and is one of the most important assets for problem solving. Experience is everywhere. For example, a recording technician needs experience in the studio to produce a recording worth listening to. Does the recording sound full and rich or still too tinny? Does the bass section sound overwhelming? Experience — my own or someone else’s — can help me solve a current problem, for example, in the recording studio. Case-based reasoning, a methodology in which experience is expressed in the form cases, allows transferring and applying expert knowledge where needed.
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Artificial Intelligence – Case-based reasoning for recommender systems – Invited talk at Techsylvania 2015
- 1. A R T I F I C I A L I N T E L L I G E N C E C A S E - B A S E D R E A S O N I N G F O R R E C O M M E N D E R S Y S T E M S P R O F T H O M A S R O T H - B E R G H O F E R , U N I V E R S I T Y O F W E S T L O N D O N , U K
- 2. – S H A N TA N U N A R AY E N , C E O , A D O B E “We as consumers expect relevant, interactive, personalised material wherever we are.”
- 3. – D AV I D WA D H WA N I , S E N I O R V I C E P R E S I D E N T, A D O B E “The new frontier is experience.”
- 4. E X P E R I E N C E
- 5. S P E C I F I C K N O W L E D G E O B TA I N E D F R O M A S P E C I F I C P R O B L E M S O LV I N G C O N T E X T E X P E R I E N C E
- 6. S P E C I F I C K N O W L E D G E O B TA I N E D F R O M A S P E C I F I C P R O B L E M S O LV I N G C O N T E X T E X P E R I E N C E © U.S. Army Corps of Engineers - CC BY 2.0 https://www.flickr.com/photos/usacehq/10019330364
- 7. S P E C I F I C K N O W L E D G E O B TA I N E D F R O M A S P E C I F I C P R O B L E M S O LV I N G C O N T E X T E X P E R I E N C E © U.S. Army Corps of Engineers - CC BY 2.0 https://www.flickr.com/photos/usacehq/10019330364 © Craig Breil - CC BY 2.0https://www.flickr.com/photos/umich-msis/6550246787
- 8. S P E C I F I C K N O W L E D G E O B TA I N E D F R O M A S P E C I F I C P R O B L E M S O LV I N G C O N T E X T E X P E R I E N C E © U.S. Army Corps of Engineers - CC BY 2.0 https://www.flickr.com/photos/usacehq/10019330364 © Craig Breil - CC BY 2.0https://www.flickr.com/photos/umich-msis/6550246787 https://www.flickr.com/photos/marceldouwedekker/© Christoph Weigel - CC BY-SA 2.0
- 9. E X A M P L E S
- 10. E X A M P L E S • Printer repairman remembers a similar failure of printer in the past.
- 11. E X A M P L E S • Printer repairman remembers a similar failure of printer in the past. Problem: My printout has white streaks. I printed on paper. Cleaning the printer did not help. Solution: Ink cartridge was low on toner. ➜ Replace ink cartridge.
- 12. E X A M P L E S • Printer repairman remembers a similar failure of printer in the past. • A doctor remembers the symptoms of a bacterial infection from another patient. Problem: My printout has white streaks. I printed on paper. Cleaning the printer did not help. Solution: Ink cartridge was low on toner. ➜ Replace ink cartridge.
- 13. E X A M P L E S • Printer repairman remembers a similar failure of printer in the past. • A doctor remembers the symptoms of a bacterial infection from another patient. Problem: My printout has white streaks. I printed on paper. Cleaning the printer did not help. Solution: Ink cartridge was low on toner. ➜ Replace ink cartridge. Problem: Patient X has fever. Blood test shows high count of white blood cells. Patient X tells about holidays in central Africa. Solution: Tropical infection possible ➜ Prescribe further blood tests.
- 14. E X A M P L E S • Printer repairman remembers a similar failure of printer in the past. • A doctor remembers the symptoms of a bacterial infection from another patient. Problem: My printout has white streaks. I printed on paper. Cleaning the printer did not help. Solution: Ink cartridge was low on toner. ➜ Replace ink cartridge. Problem: Patient X has fever. Blood test shows high count of white blood cells. Patient X tells about holidays in central Africa. Solution: Tropical infection possible ➜ Prescribe further blood tests. [ ]Problem + Solution Case =
- 15. E X A M P L E S • Printer repairman remembers a similar failure of printer in the past. • A doctor remembers the symptoms of a bacterial infection from another patient. Problem: My printout has white streaks. I printed on paper. Cleaning the printer did not help. Solution: Ink cartridge was low on toner. ➜ Replace ink cartridge. Problem: Patient X has fever. Blood test shows high count of white blood cells. Patient X tells about holidays in central Africa. Solution: Tropical infection possible ➜ Prescribe further blood tests. [ ]Problem + Solution Case =
- 16. – D AV I D B . L E A K E , I N D I A N A U N I V E R S I T Y, U S A “CBR is reasoning by remembering.” Case-based reasoning is a cognitive approach for modelling human problem solving behaviour.
- 17. – A G N A R A A M O D T, N T N U , N O R WAY, A N D E N R I C P L A Z A , I I I A , S PA I N “CBR is an approach to problem solving and learning.” Case-based reasoning is an engineering approach for developing and implementing intelligent systems.
- 18. Old Problem B A S I C I D E A • Retrieve relevant experience from the case base. • Re-use retrieved experience in the context of the current problem. • Store new experience in the case base – learn. New Problem Old Problem Old Solution Casei Case Base …
- 19. Old Problem B A S I C I D E A • Retrieve relevant experience from the case base. • Re-use retrieved experience in the context of the current problem. • Store new experience in the case base – learn. New Problem Old Problem Old Solution Casei Case Base Similarity …
- 20. Old Problem B A S I C I D E A • Retrieve relevant experience from the case base. • Re-use retrieved experience in the context of the current problem. • Store new experience in the case base – learn. New Problem Old Problem Old Solution Casei Case Base New Solution Similarity … Reuse
- 21. New Case Old Problem B A S I C I D E A • Retrieve relevant experience from the case base. • Re-use retrieved experience in the context of the current problem. • Store new experience in the case base – learn. New Problem Old Problem Old Solution Casei Case Base New Solution Similarity … Reuse
- 22. New Case Old Problem B A S I C I D E A • Retrieve relevant experience from the case base. • Re-use retrieved experience in the context of the current problem. • Store new experience in the case base – learn. New Problem Old Problem Old Solution Casei Case Base New Solution Similarity … Learn Reuse
- 23. New Case Old Problem B A S I C I D E A • Retrieve relevant experience from the case base. • Re-use retrieved experience in the context of the current problem. • Store new experience in the case base – learn. New Problem Old Problem Old Solution Casei Case Base New Solution Similarity … Learn Reuse Key aspect: similarity
- 24. New Case Old Problem B A S I C R E C O M M E N D E R S Y S T E M New Problem Old Problem Old Solution Casei Case Base New Solution Similarity-based retrieval …
- 25. Products/ServicesRequirements match New Case Old Problem B A S I C R E C O M M E N D E R S Y S T E M New Problem Old Problem Old Solution Casei Case Base New Solution Similarity-based retrieval …
- 26. myCBRCBR T O O L F O R R A P I D P R O T O T Y P I N G O F C B R A P P L I C AT I O N S
- 27. myCBRCBR T O O L F O R R A P I D P R O T O T Y P I N G O F C B R A P P L I C AT I O N S F O R E X A M P L E : R E C O M M E N D E R S Y S T E M S
- 28. R E C O M M E N D E R S Y S T E M E X A M P L E
- 29. R E C O M M E N D E R S Y S T E M E X A M P L E Body Model Color Manufacturer Mileage
- 34. S I M I L A R I T Y K N O W L E D G E Similarity tables Similarity functions
- 35. S I M I L A R I T Y- B A S E D R E T R I E VA L
- 36. S I M I L A R I T Y- B A S E D R E T R I E VA L
- 37. S I M I L A R I T Y- B A S E D R E T R I E VA L
- 38. S I M I L A R I T Y- B A S E D R E T R I E VA L
- 39. S I M I L A R I T Y- B A S E D R E T R I E VA L
- 40. R E U S E O F A U D I O M I X I N G E X P E R I E N C E © CC0 1.0 Universal
- 41. R E U S E O F A U D I O M I X I N G E X P E R I E N C E Case ➜ Workflow Before After © CC0 1.0 Universal
- 42. ... C S V I M P O R T Colhead1 Colhead2 Colhead3 … R1C1 R1C2 R1C3 … R2C1 R2C2 R2C3 … … … … …
- 43. ... C S V I M P O R T Colhead1 Colhead2 Colhead3 … R1C1 R1C2 R1C3 … R2C1 R2C2 R2C3 … … … … … Generate attributes1
- 44. ... C S V I M P O R T Colhead1 Colhead2 Colhead3 … R1C1 R1C2 R1C3 … R2C1 R2C2 R2C3 … … … … … Generate attributes1
- 45. ... C S V I M P O R T Colhead1 Colhead2 Colhead3 … R1C1 R1C2 R1C3 … R2C1 R2C2 R2C3 … … … … … Generate attributes1 Set data types2
- 46. ... C S V I M P O R T Colhead1 Colhead2 Colhead3 … R1C1 R1C2 R1C3 … R2C1 R2C2 R2C3 … … … … … Generate attributes1 Set data types2
- 47. ... C S V I M P O R T Colhead1 Colhead2 Colhead3 … R1C1 R1C2 R1C3 … R2C1 R2C2 R2C3 … … … … … Generate attributes1 Boolean Concept Float Integer String Symbol + Set data types2
- 48. ... C S V I M P O R T Colhead1 Colhead2 Colhead3 … R1C1 R1C2 R1C3 … R2C1 R2C2 R2C3 … … … … … Generate attributes1 ... Set data types2
- 49. ... C S V I M P O R T Colhead1 Colhead2 Colhead3 … R1C1 R1C2 R1C3 … R2C1 R2C2 R2C3 … … … … … Generate attributes1 ... Set data types2 Generate instances3
- 50. H T T P : / / M Y C B R - P R O J E C T. N E T
- 51. TA K E H O M E M E S S A G E
- 52. TA K E H O M E M E S S A G E • Case-based reasoning is the method of choice whenever you need to compare products and services.
- 53. TA K E H O M E M E S S A G E • Case-based reasoning is the method of choice whenever you need to compare products and services. • myCBR Workbench provides tools to express similarity knowledge and an environment to test your knowledge model.
- 54. TA K E H O M E M E S S A G E • Case-based reasoning is the method of choice whenever you need to compare products and services. • myCBR Workbench provides tools to express similarity knowledge and an environment to test your knowledge model. • myCBR SDK lets you easily integrate similarity-based retrieval in your (mobile) applications.
- 55. A R T I F I C I A L I N T E L L I G E N C E C A S E - B A S E D R E A S O N I N G F O R R E C O M M E N D E R S Y S T E M S P R O F T H O M A S R O T H - B E R G H O F E R , U N I V E R S I T Y O F W E S T L O N D O N , U K Prof Dr Thomas Roth-Berghofer Head of Research Cluster Digital Communities University of West London, United Kingdom thomas.roth-berghofer@uwl.ac.uk T H O M A S . R O T H - B E R G H O F E R @ U W L . A C . U K