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Ranking documents based on large data sets 원문보기

IPC분류정보
국가/구분 United States(US) Patent 등록
국제특허분류(IPC7판)
  • G06F-017/00
  • G06F-007/00
출원번호 US-0706991 (2003-11-14)
발명자 / 주소
  • Bem,Jeremy
  • Harik,Georges R.
  • Levenberg,Joshua L.
  • Shazeer,Noam
  • Tong,Simon
출원인 / 주소
  • Google Inc.
대리인 / 주소
    Harrity Snyder, LLP
인용정보 피인용 횟수 : 84  인용 특허 : 16

초록

초록이 없습니다.

대표청구항

대표청구항이 없습니다.

이 특허에 인용된 특허 (16)

  1. Mao, Jianchang; Abrol, Mani; Mukherjee, Rajat; Tourn, Michel; Raghavan, Prabhakar, Apparatus and method for adaptively ranking search results.
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  2. Sean Brady ; Chris Harris ; Josh Dammeier ; Sameer Samat, Devices and methods for generating and managing a database.
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  3. Lee, Yuchun; Kennedy, Ruby; Crites, Robert, Execution of multiple models using data segmentation.
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  4. Edlund, Stefan B.; Emens, Michael L.; Kraft, Reiner; Myllymaki, Jussi; Teng, Shanghua, Metadata search results ranking system.
    상세보기
  5. Agrawal, Rakesh; Srikant, Ramakrishnan, Method and system for building a decision-tree classifier from privacy-preserving data.
    상세보기
  6. Page Lawrence, Method for node ranking in a linked database.
    상세보기
  7. Page,Lawrence, Method for node ranking in a linked database.
    상세보기
  8. Culliss Gary, Method for organizing information.
    상세보기
  9. Culliss Gary, Method for organizing information.
    상세보기
  10. Culliss Gary, Method for organizing information.
    상세보기
  11. Page, Lawrence, Method for scoring documents in a linked database.
    상세보기
  12. Driscoll James R., Natural language method and system for searching for and ranking relevant documents from a computer database.
    상세보기
  13. Culliss Gary, Personalized search methods.
    상세보기
  14. Culliss, Gary A., Personalized search methods.
    상세보기
  15. James W. Cooper, System and method for identifying useless documents.
    상세보기
  16. Micaelian, Fadi Victor; Sawey, Richard; Scoffone, Emil Mario; Criswell, David Brandon, Weighted preference data search system and method.
    상세보기

이 특허를 인용한 특허 (84)

  1. Stoutamire, David, Accelerated large scale optimization.
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  2. Kim, Hyung-Jin; Wei, Leonard, Accentuating search results.
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  3. Petriuc, Mihai, Click distance determination.
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  4. Chen, Zhihui; Kim, Hyung-Jin; Adams, Henele I.; Khandelwal, Nitin; Kacholia, Varun; Stoutamire, David P., Combining user feedback.
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  5. Lamping, John; Pearson, Mark, Deriving and using document and site quality signals from search query streams.
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  6. Lamping, John; Pearson, Mark, Deriving and using document and site quality signals from search query streams.
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  7. Lamping, John; Pearson, Mark, Deriving and using document and site quality signals from search query streams.
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  8. Diligenti, Michelangelo; Federici, Diego, Detecting click spam.
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  9. Tankovich, Vladimir; Meyerzon, Dmitriy; Poznanski, Victor, Detection of junk in search result ranking.
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  10. McSherry, Frank D., Determination of useful convergence of static rank.
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  11. Xin, Guomao; Wen, Ji Rong; Song, Ruihua; Shi, Shuming; Ma, Wei Ying, Determining relevance of documents to a query based on identifier distance.
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  12. Tankovich, Vladimir; Meyerzon, Dmitriy; Taylor, Michael James, Document length as a static relevance feature for ranking search results.
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  13. Meyerzon, Dmitriy; Shnitko, Yauhen; Burges, Chris J. C.; Taylor, Michael James, Enterprise relevancy ranking using a neural network.
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  14. Krivokon, Igor; Ofitserov, Vladimir; Kislyuk, Oleg, Evaluating quality based on neighbor features.
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  15. Fernandes, Neil C.; Flaster, Michael; Lehman, April R., Evaluating website properties by partitioning user feedback.
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  16. Tong, Simon; Lee, Benjamin N.; Altendorf, Eric E., Generating a related set of documents for an initial set of documents.
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  17. Tong, Simon; Lee, Benjamin N.; Altendorf, Eric E., Generating a related set of documents for an initial set of documents.
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  18. Tong, Simon; Lee, Benjamin N.; Altendorf, Eric E., Generating a related set of documents for an initial set of documents.
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  19. Bem, Jeremy; Harik, Georges R.; Levenberg, Joshua L.; Shazeer, Noam; Tong, Simon, Large scale machine learning systems and methods.
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  20. Bem, Jeremy; Harik, Georges R.; Levenberg, Joshua L.; Shazeer, Noam; Tong, Simon, Large scale machine learning systems and methods.
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  21. Bem, Jeremy; Harik, Georges R.; Levenberg, Joshua L.; Shazeer, Noam; Tong, Simon, Large scale machine learning systems and methods.
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  22. Bem, Jeremy; Harik, Georges R.; Levenberg, Joshua L.; Shazeer, Noam; Tong, Simon, Large scale machine learning systems and methods.
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  23. Wu, Jun; Feng, Zhengzhu; Guo, Quji; Qian, Zhe, Method and apparatus for classifying documents based on user inputs.
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  24. Chen, Mao; Cohen, Mitchell A.; Mohan, Rakesh; Rajagopal, Ram; Sairamesh, Jakka; Stibler, Stephen V., Method and apparatus for ranking-based information processing.
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  25. Canoy, Michael-David Nakayoshi; Agashe, Parag Arun; Wu, Qiang; Kintada, Ramakrishna; Sundaram, Senthilkumar Kaliannan, Method and apparatus for receiving broadcast in a wireless multiple-access communications system.
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  26. Dumon, Olivier G.; McDonald, Ryan; Rehman, Muhammad Faisal; Netzloff, Julie; Sun, Ken, Method and system for adjusting product ranking scores based on an adjustment factor.
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  27. Athalye, Sanjeev Arvind; Sinnarajah, Ragulan; Wang, Jun, Method and system for signaling in broadcast communication system.
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  28. Sinnarajah, Ragulan; Wang, Jun; Bender, Paul E.; Chen, Tao; Tiedemann, Jr., Edward G., Method and system for signaling in broadcast communication system.
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  29. Dumon, Oliver G.; McDonald, Ryan; Rehman, Muhammad Faisal; Netzloff, Julie; Sun, Ken, Method, medium, and system for adjusting product ranking scores based on an adjustment factor.
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  30. Canright,Geoffrey; Eng�� Monsen,Kenth; Burgess,Mark, Method, system, and computer program product for ranking of documents using link analysis, with remedies for sinks.
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  31. Tong, Simon; Pearson, Mark; Brin, Sergey, Methods and systems for improving a search ranking using related queries.
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  32. Tong, Simon; Pearson, Mark; Brin, Sergey, Methods and systems for improving a search ranking using related queries.
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  33. Bem, Jeremy; Harik, Georges R.; Levenberg, Joshua L.; Shazeer, Noam; Tong, Simon, Model generation for ranking documents based on large data sets.
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  34. Adams, Henele I.; Kim, Hyung-Jin, Modifying ranking data based on document changes.
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  35. Kim, Hyung-Jin; Lopatenko, Andrei, Modifying scoring data based on historical changes.
    상세보기
  36. Kim, Hyung-Jin; Lopatenko, Andrei, Modifying scoring data based on historical changes.
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  37. Stets, Jr., Robert J.; Paskin, Mark Andrew, Modifying search result ranking based on a temporal element of user feedback.
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  38. Provine, John R.; Basile, Claudio; Vasserman, Alexander L., Modifying search result ranking based on corpus search statistics.
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  39. Provine, John R.; Basile, Claudio; Vasserman, Alexander L., Modifying search result ranking based on corpus search statistics.
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  40. Kim, Hyung-Jin; Tong, Simon; Shazeer, Noam M.; Diligenti, Michelangelo, Modifying search result ranking based on implicit user feedback.
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  41. Kim, Hyung-Jin; Tong, Simon; Shazeer, Noam M.; Diligenti, Michelangelo, Modifying search result ranking based on implicit user feedback.
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  42. Kim, Hyung-Jin; Tong, Simon; Shazeer, Noam M.; Diligenti, Michelangelo, Modifying search result ranking based on implicit user feedback.
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  43. Kim, Hyung-Jin; Tong, Simon; Shazeer, Noam M.; Diligenti, Michelangelo, Modifying search result ranking based on implicit user feedback.
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  44. Kim, Hyung-Jin; Corduneanu, Adrian D., Modifying search result ranking based on implicit user feedback and a model of presentation bias.
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  45. Corduneanu, Adrian Dumitru; Diligenti, Michelangelo, Modifying search result ranking based on populations.
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  46. Liu, Tie-Yan; Qin, Tao; Li, Hang, Optimizing ranking of documents using continuous conditional random fields.
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  47. Eder, Jeffrey Scott, Personalized medicine service.
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  48. Adams, Henele I.; Kim, Hyung-Jin, Propagating query classifications.
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  49. Adams, Henele I.; Kim, Hyung-Jin, Propagating query classifications.
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  50. Bem, Jeremy; Harik, Georges R.; Levenberg, Joshua L.; Shazeer, Noam M.; Tong, Simon, Ranking documents based on large data sets.
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  51. Bem, Jeremy; Harik, Georges R.; Levenberg, Joshua L.; Shazeer, Noam; Tong, Simon, Ranking documents based on large data sets.
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  52. Dean, Jeffrey A.; Anderson, Corin; Battle, Alexis, Ranking documents based on user behavior and/or feature data.
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  56. Nerurkar, Ajay P., Ranking search results based on anchors.
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  57. Lopatenko, Andrei; Kim, Hyung-Jin; Dornbush, Sandor; Wei, Leonard; Kilbourn, Timothy P.; Lopyrev, Mikhail, Ranking search results based on similar queries.
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  76. Sun, Gordon; Zheng, Zhaohui, System and method for indexing web content using click-through features.
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  77. Meyerzon, Dmitriy; Zaragoza, Hugo, System and method for ranking search results using click distance.
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  78. Merrigan, Chadd Creighton; Peltonen, Kyle G.; Meyerzon, Dmitriy; Lee, David J., System and method for scoping searches using index keys.
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