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 |
---|---|
국제특허분류(IPC7판) |
|
출원번호 | US-0595590 (2017-05-15) |
등록번호 | US-9892417 (2018-02-13) |
발명자 / 주소 |
|
출원인 / 주소 |
|
대리인 / 주소 |
|
인용정보 | 피인용 횟수 : 4 인용 특허 : 334 |
A method is disclosed for enabling a network location to provide an ordering process for data relevant to connected network devices' activities. The method includes assembling the data, utilizing the activity data, and associating the data, such that information is derived to enable a desired expans
A method is disclosed for enabling a network location to provide an ordering process for data relevant to connected network devices' activities. The method includes assembling the data, utilizing the activity data, and associating the data, such that information is derived to enable a desired expansion of at least one designated activity. Another method is disclosed for managing an object assignment broadcast operations for a network location based on a network device's previous activities. This second method includes tracing a network device's conduct to determine that a network device prefers a particular class of content. The method also includes tagging a network device's profile with the respective observation and deciding by a network location as to the classification factor for a network device to be targeted for an object assignment broadcast.
1. A system, comprising: one or more processors; andone or more non-transitory machine-readable storage media containing instructions configured to cause the one or more processors to perform operations including: receiving, on a computing device, one or more log-activity packets containing activity
1. A system, comprising: one or more processors; andone or more non-transitory machine-readable storage media containing instructions configured to cause the one or more processors to perform operations including: receiving, on a computing device, one or more log-activity packets containing activity data, wherein the activity data represents one or more interactions with one or more content elements associated with a network location, and wherein an interaction has a corresponding value;analyzing the one or more log-activity packets to track one or more interactions with the network location over a period of time;calculating one or more values corresponding to the one or more tracked interactions;receiving input corresponding to a selection of a particular tracked interaction, wherein the selection identifies a particular tracked interaction having a corresponding value to be increased;generating a modification design, wherein the modification design represents a change to the one or more content elements associated with the network location, wherein the modification design is generated based on the particular tracked interaction, and wherein the modification design is configured to improve the value corresponding to the particular tracked interaction; andautomatically transmitting a representation of the modification design, wherein the representation, when received, automatically changes a content element of the network location according to the modification design, wherein altering the content element increases the value corresponding to the particular tracked interaction. 2. The system of claim 1, wherein the operations further include: generating an ordering process configured to create an ordered list of interactions that are associated with the selected particular tracked interaction using archived interaction data. 3. The system of claim 2, wherein: the modification design includes altering the content elements of the network location using the ordered list of interactions. 4. The system of claim 2, wherein the operations further include: determining an interest of a network device in the one or more content elements of the network location, wherein determining the interest is based on a trend of the archived interaction data. 5. The system of claim 4, wherein the operations further include: determining a change in activity of the network device, wherein determining the change in activity is based on the trend of the archived interaction data. 6. The system of claim 5, wherein the operations further include: identifying a group of network devices that periodically connect to the network location that are likely to discontinue the periodic connection to the network location based on the trend of the archived interaction data. 7. The system of claim 1, wherein the operations further include: determining correlation scores between each of the one or more tracked interactions relative to the remaining one or more tracked interactions, wherein a tracked interaction having a highest correlation score relative to the remaining one or more tracked interactions is selected as the particular tracked interaction. 8. The system of claim 7, wherein the operations further include: generating a correlation matrix from the correlation scores, wherein the correlation matrix represents a correlation between each tracked interaction relative to the remaining one or more tracked interactions in a single data structure. 9. The system of claim 1, wherein tracking interactions includes: tracking a duration of a connection of a network device to the network location. 10. The system of claim 9, wherein: tracking interactions further includes tracking activities of an identified network device connected to the network location, andstoring, in a relational database, information associating the tracked activities with the identified network device. 11. A computer implemented method, comprising: receiving, on a computing device, one or more log-activity packets containing activity data, wherein the activity data represents one or more interactions with one or more content elements associated with a network location, and wherein an interaction has a corresponding value;analyzing, by the computing device, the one or more log-activity packets to track one or more interactions with the network location over a period of time;calculating, by the computing device, one or more values corresponding to the one or more tracked interactions;receiving, by the computing device, input corresponding to a selection of a particular tracked interaction, wherein the selection identifies a particular tracked interaction having a corresponding value to be increased;generating, by the computing device, a modification design, wherein the modification design represents a change to the one or more content elements associated with the network location, wherein the modification design is generated based on the particular tracked interaction, and wherein the modification design is configured to improve the value corresponding to the particular tracked interaction; andautomatically transmitting, by the computing device, a representation of the modification design, wherein the representation, when received, automatically changes a content element of the network location according to the modification design, wherein altering the content element increases the value corresponding to the particular tracked interaction. 12. The method of claim 11, further comprising: generating, by the computing device, an ordering process configured to create an ordered list of interactions that are associated with the selected particular tracked interaction using archived interaction data. 13. The method of claim 12, wherein: the modification design includes altering the content elements of the network location using the ordered list of interactions. 14. The method of claim 11, wherein: tracking interactions further includes tracking activities of an identified network device connected to the network location, andstoring, in a relational database, information associating the tracked activities with the identified network device. 15. The method of claim 11, further comprising: determining an interest of a network device in the one or more content elements of the network location, wherein determining the interest is based on a trend of archived interaction data. 16. A computer-program product tangibly embodied in a non-transitory machine-readable storage medium, and including instructions configured to cause one or more processors to perform operations comprising: receiving one or more log-activity packets containing activity data, wherein the activity data represents one or more interactions with one or more content elements associated with a network location, and wherein an interaction has a corresponding value;analyzing the one or more log-activity packets to track one or more interactions with the network location over a period of time;calculating one or more values corresponding to the one or more tracked interactions;receiving input corresponding to a selection of a particular tracked interaction, wherein the selection identifies a particular tracked interaction having a corresponding value to be increased;generating a modification design, wherein the modification design represents a change to the one or more content elements associated with the network location, wherein the modification design is generated based on the particular tracked interaction, and wherein the modification design is configured to improve the value corresponding to the particular tracked interaction; andautomatically transmitting a representation of the modification design, wherein the representation, when received, automatically changes a content element of the network location according to the modification design, wherein altering the content element increases the value corresponding to the particular tracked interaction. 17. The computer-program product of claim 16, wherein the operations further include: generating an ordering process configured to create an ordered list of interactions that are associated with the selected particular tracked interaction using archived interaction data. 18. The computer-program product of claim 17, wherein: the modification design includes altering the content elements of the network location using the ordered list of interactions. 19. The computer-program product of claim 16, wherein: tracking interactions further includes tracking activities of an identified network device connected to the network location, andstoring, in a relational database, information associating the tracked activities with the identified network device. 20. The computer-program product of claim 16, wherein the operations further include: determining an interest of a network device in the one or more content elements of the network location, wherein determining the interest is based on a trend of archived interaction data.
해당 특허가 속한 카테고리에서 활용도가 높은 상위 5개 콘텐츠를 보여줍니다.
더보기 버튼을 클릭하시면 더 많은 관련자료를 살펴볼 수 있습니다.
IPC | Description |
---|---|
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 |
|
---|---|
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 |
|
메일정보 |
|
안내 |
총 건의 자료가 검색되었습니다. 다운받으실 자료의 인덱스를 입력하세요. (1-10,000) 검색결과의 순서대로 최대 10,000건 까지 다운로드가 가능합니다. 데이타가 많을 경우 속도가 느려질 수 있습니다.(최대 2~3분 소요) 다운로드 파일은 UTF-8 형태로 저장됩니다. ~ |
Copyright KISTI. All Rights Reserved.
AI-Helper는 오픈소스 모델을 사용합니다. 사용하고 있는 오픈소스 모델과 라이센스는 아래에서 확인할 수 있습니다.
AI-Helper uses Open Source Models. You can find the source code of these open source models, along with applicable license information below. (helpdesk@kisti.re.kr)
OpenAI의 API Key를 브라우저에 등록하여야 ChatGPT 모델을 사용할 수 있습니다.
등록키는 삭제 버튼을 누르거나, PDF 창을 닫으면 삭제됩니다.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.