최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
SAI
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
DataON 바로가기다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
Edison 바로가기다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
Kafe 바로가기국가/구분 | United States(US) Patent 등록 |
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국제특허분류(IPC7판) |
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출원번호 | US-0208458 (2005-08-18) |
등록번호 | US-7437023 (2008-10-14) |
발명자 / 주소 |
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출원인 / 주소 |
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대리인 / 주소 |
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인용정보 | 피인용 횟수 : 109 인용 특허 : 539 |
A system for easily determining viewership of articles or ads in printed publications and using the determined viewership to determine author compensation, ad rates, or other historical or demographic related information is described. The system receives scan information of portions of a number of p
A system for easily determining viewership of articles or ads in printed publications and using the determined viewership to determine author compensation, ad rates, or other historical or demographic related information is described. The system receives scan information of portions of a number of paper documents that is generated by scanners operated by a number of users. The system searches digital content using the received scan information, and determines a readership value for components of the paper document based upon the search.
We claim: 1. A method in a computing system, comprising: receiving a plurality of text capture indications, each text capture indication identifying a text sequence captured from a portion of a paper document by a user among a plurality of users operating a capture device among a plurality of captu
We claim: 1. A method in a computing system, comprising: receiving a plurality of text capture indications, each text capture indication identifying a text sequence captured from a portion of a paper document by a user among a plurality of users operating a capture device among a plurality of capture devices, the captured text sequence being directly visible in the paper document in human-readable form; for each received text capture indication, searching digital documents for the text sequence identified by the text capture indication to identify the paper document section from which the searched text sequence was captured; and for each of a plurality of portions of paper documents, determining a readership value for the paper document portion indicating a frequency of captures from the paper document portion reflected by the received text capture indications. 2. The method of claim 1, wherein the received indications include information derived from portions of paper documents containing advertisements, the method further comprising: determining an advertising rate for a distinguished advertisement contained in a distinguished portion of a paper document based at least in part on a readership value determined for the distinguished portion. 3. The method of claim 2, further comprising: billing an entity associated with the distinguished advertisement contained in the distinguished portion using the determined advertising rate. 4. The method of claim 1, wherein the received indications include information derived from portions of paper documents containing articles, and wherein the readership values are determined for the articles contained in the captured portions of paper documents. 5. The method of claim 1, wherein at least some of the readership values are determined from received indications based on a scan of a portion of text. 6. The method of claim 1, wherein the readership value for a distinguished portion of a paper document includes a frequency of captures of another portion within the paper document containing the distinguished portion. 7. The method of claim 1, further comprising: ranking authors of the paper documents based on determined readership values for captured portions of paper documents written by the authors. 8. The method of claim 1, further comprising: receiving location information associated with the scanners; and determining the readership values based at least in part on the received location information. 9. The method of claim 1, further comprising: receiving user information associated with the plurality of users of the scanners; and determining the readership values based at least in part on the received user information. 10. The method of claim 1, wherein at least some of the readership values are determined from received indications based on a scan of an icon. 11. The method of claim 1, wherein at least some of the readership values are determined from received indications based on a scan of a symbol. 12. The method of claim 1, wherein at least some of the readership values are determined from received indications based on a scan of a mark. 13. The method of claim 1 wherein at least one of the capture devices operated to produce a received text capture indication is a dedicated handheld text capture device. 14. The method of claim 1 wherein at least one of the capture devices operated to produce a received text capture indication is a wireless telephone. 15. A computer-based system, comprising: a memory for storing information associated with a plurality of paper documents; a scan component that receives scan information of portions of the plurality of paper documents captured by scanners operated by a plurality of users; a search component that searches for stored information associated with the received scan information; and a readership evaluation component that determines, for each of the plurality of portions of paper documents, a readership value for the paper document portion indicating a frequency of captures from the paper document portion reflected by the received information, wherein at least some of the readership values are determined from received information based on a scan of a portion of text that is directly visible in a paper document in human-readable form. 16. The system of claim 15, wherein the received scan information includes scan information derived from portions of paper documents containing advertisements, the method further comprising: a valuation component that determines an advertising rate for a distinguished advertisement contained in a distinguished portion of a paper document based at least in part on a readership value determined for the captured distinguished portion. 17. The system of claim 15, further comprising: a billing component that bills an entity associated with the distinguished advertisement contained in the distinguished portion using the determined advertising rate. 18. The system of claim 15, wherein the received information includes information derived from portions of paper documents containing articles, and wherein the readership values are determined for the articles contained in the captured portions of paper documents. 19. The system of claim 15, wherein the readership value for a distinguished portion of a paper document includes a frequency of captures of another portion within the paper document containing the distinguished portion. 20. The system of claim 15, further comprising: an author rank component that ranks authors of the paper documents based on determined readership values for captured portions of paper documents written by the authors. 21. The system of claim 15, further comprising: a location component that determines location information associated with the scanners, and wherein determining the readership values is based at least in part on the received location information. 22. The system of claim 15, further comprising: a user component that determines user information associated with the scanners, and wherein determining the readership values is based at least in part on the received user information. 23. The system of claim 15, wherein at least some of the readership values are determined from received information based on a scan of an icon. 24. The system of claim 15, wherein at least some of the readership values are determined from received information based on a scan of a symbol. 25. The system of claim 15, wherein at least some of the readership values are determined from received information based on a scan of a mark. 26. A computer-readable medium encoded with a computer program, for performing a method, the method comprising: receiving multiple instances of scan information, each instance of scan information being derived from a capture of text in a portion of a paper document by a handheld information capture device operated by a user, the captured text being directly visible in the paper document in human-readable form; and determining a readership value for a distinguished portion of a paper document based on the received instances of scanned information associated with the distinguished portion. 27. The computer-readable medium of claim 26, further comprising: searching for electronic content associated with each instance of scan information, and determining the readership values for a distinguished portion when the electronic content is found. 28. One or more computer memories collectively containing a data structure, the data structure comprising one or more entries, each entry associated with a rendered document, each entry containing: information identifying the rendered document or an electronic version of the rendered document; and information specifying a readership score for the rendered document that is based upon a determined number of text capture operations performed by users in copies of the rendered document, the text capture operations each capturing text that is directly visible in the rendered document in human-readable form, such that the contents of the data structure may be used as a basis for automatically charging for advertising included in the rendered document. 29. The computer memories of claim 28, wherein each entry further comprises information identifying a portion of the rendered document and a readership score for the identified portion of the rendered document that is based upon a determined number of user interactions with the identified portion of the rendered document. 30. A computer system to track reader exposure to elements in rendered documents comprising: computer executable logic to receive digital information representing a series of contiguous words captured from a rendered document by a user, the captured words being directly visible in the paper document in human-readable form; and computer executable logic to determine an exposure indication for a document element of the rendered document, based at least in part upon identifying a portion of a page of a digital document containing both the series of text captured from a rendered document, represented by the digital information and, the document element. 31. The computer system to track reader exposure to elements in rendered documents of claim 30, wherein the logic to determine an exposure indication for a document element of the rendered document further comprises: logic to determine an exposure indication for an advertisement of the rendered document. 32. The computer system to track reader exposure to elements in rendered documents of claim 31, wherein the logic to determine an exposure indication for an advertisement of the rendered document further comprises: logic to recognize that a reader of the rendered document may have been exposed to the advertisement based at least in part upon identifying a region of the digital document corresponding to a region of the rendered document on a same page or opposing page as the advertisement. 33. The computer system to track reader exposure to elements in rendered documents of claim 31, wherein the logic to determine an exposure indication for an advertisement of the rendered document further comprises: the logic to determine the exposure indication based at least in part upon identifying a region of the digital document corresponding to a region of the rendered document adjacent to the advertisement. 34. The computer system to track reader exposure to elements in rendered documents of claim 31, wherein the logic to determine an exposure indication for an advertisement of the rendered document further comprises: logic to recognize that a reader of the rendered document may have been exposed to the advertisement based at least in part upon identifying a region of the digital document corresponding to a region of the rendered document on a same page or opposing page as the advertisement. 35. The computer system to track reader exposure to elements in rendered documents of claim 31, wherein the logic to determine an exposure indication for an advertisement of the rendered document further comprises: the logic to determine the exposure indication based at least in part upon identifying a region of the digital document corresponding to a region of the rendered document adjacent to the advertisement. 36. The computer system to track reader exposure to elements in rendered documents of claim 31, wherein the logic to determine an exposure indication for an advertisement of the rendered document, based at least in part upon a pattern of information capture from the rendered document further comprises: logic to recognize that a reader of the rendered document may have been exposed to the advertisement of the rendered document, based at least in part upon intermittent information capture by the reader from throughout the rendered document. 37. The computer system to track reader exposure to elements in rendered documents of claim 31, wherein the logic to determine an exposure indication for an advertisement of the rendered document, based at least in part upon a pattern of information capture from the rendered document further comprises: logic to recognize that a reader of the rendered document may have been exposed to the advertisement of the rendered document, based at least in part upon information capture from a page of the rendered document preceding a page comprising the advertisement, and information capture from a page of the rendered document following the page comprising the advertisement. 38. The computer system to track reader exposure to elements in rendered documents of claim 30, wherein the logic to identify the digital information representing a series of text captured from a rendered document further comprises: logic to identify the digital information as information optically scanned from the rendered document. 39. The computer system to track reader exposure to elements in rendered documents of claim 30, wherein the logic to identify the digital information representing a series of text captured from a rendered document further comprises: logic to identify the digital information as information voice recorded from the rendered document. 40. The computer system to track reader exposure to elements in rendered documents of claim 30, wherein the logic to identify the digital information representing a series of text captured from a rendered document further comprises: logic to use the digital information or information obtained therefrom to form one or more queries; one or more indexes and/or databases; logic to apply the queries to the one or more indexes and/or databases to identify at least one digital document or sub-region thereof representing content of the rendered document or sub-region thereof in digital form; and logic to apply results of the queries to determining the reader exposure information. 41. The computer system to track reader exposure to elements in rendered documents of claim 40, wherein the logic to use the digital information or information obtained therefrom to form one or more queries further comprises: logic to apply context for the digital information to formation of the queries. 42. The computer system to track reader exposure to elements in rendered documents of claim 41, wherein the logic to apply context for the digital information to formation of the queries further comprises: logic to use context information comprising one or more of a time of capture of the digital information representing a series of text captured from a rendered document, a date of the capture from the rendered document, or a physical location of the capture from the rendered document when forming the one or more queries. 43. The computer system to track reader exposure to elements in rendered documents of claim 41, wherein the logic to apply context for the digital information to formation of the queries further comprises: logic to use context information about a reader of the rendered document when forming the one or more queries. 44. The computer system to track reader exposure to elements in rendered documents of claim 43, wherein the logic to use context information about a reader of the rendered document when forming the one or more queries further comprises: logic to use demographic context information, and/or context information about prior captures and/or preferences of the reader of the rendered document when forming the one or more queries. 45. The computer system to track reader exposure to elements in rendered documents of claim 30, further comprising: logic to perform OCR on the digital information and to form a quoted search string from the results of the OCR. 46. The computer system to track reader exposure to elements in rendered documents of claim 30, further comprising: logic to use context information for capture of the digital information representing a series of text captured from a rendered document to narrow the results of one or more queries. 47. The computer system to track reader exposure to elements in rendered documents of claim 30, further comprising: logic to adjust at least one of (a) a placement of the advertisement in a subsequent version of the rendered document and (b) a rate to charge for the advertisement, based at least in part upon the exposure indication.
해당 특허가 속한 카테고리에서 활용도가 높은 상위 5개 콘텐츠를 보여줍니다.
더보기 버튼을 클릭하시면 더 많은 관련자료를 살펴볼 수 있습니다.
IPC | Description |
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A | 생활필수품 |
A62 | 인명구조; 소방(사다리 E06C) |
A62B | 인명구조용의 기구, 장치 또는 방법(특히 의료용에 사용되는 밸브 A61M 39/00; 특히 물에서 쓰이는 인명구조 장치 또는 방법 B63C 9/00; 잠수장비 B63C 11/00; 특히 항공기에 쓰는 것, 예. 낙하산, 투출좌석 B64D; 특히 광산에서 쓰이는 구조장치 E21F 11/00) |
A62B-1/08 | .. 윈치 또는 풀리에 제동기구가 있는 것 |
내보내기 구분 |
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구성항목 |
관리번호, 국가코드, 자료구분, 상태, 출원번호, 출원일자, 공개번호, 공개일자, 등록번호, 등록일자, 발명명칭(한글), 발명명칭(영문), 출원인(한글), 출원인(영문), 출원인코드, 대표IPC 관리번호, 국가코드, 자료구분, 상태, 출원번호, 출원일자, 공개번호, 공개일자, 공고번호, 공고일자, 등록번호, 등록일자, 발명명칭(한글), 발명명칭(영문), 출원인(한글), 출원인(영문), 출원인코드, 대표출원인, 출원인국적, 출원인주소, 발명자, 발명자E, 발명자코드, 발명자주소, 발명자 우편번호, 발명자국적, 대표IPC, IPC코드, 요약, 미국특허분류, 대리인주소, 대리인코드, 대리인(한글), 대리인(영문), 국제공개일자, 국제공개번호, 국제출원일자, 국제출원번호, 우선권, 우선권주장일, 우선권국가, 우선권출원번호, 원출원일자, 원출원번호, 지정국, Citing Patents, Cited Patents |
저장형식 |
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메일정보 |
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안내 |
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