Information provision over a network based on a user's profile
원문보기
IPC분류정보
국가/구분
United States(US) Patent
등록
국제특허분류(IPC7판)
G06F-015/16
G07G-001/00
G07G-001/14
출원번호
US-0782933
(2001-02-14)
발명자
/ 주소
Raghunandan,Hulikunta Prahlad
출원인 / 주소
International Business Machines Corporation
대리인 / 주소
Schmeiser, Olsen &
인용정보
피인용 횟수 :
51인용 특허 :
14
초록▼
A method, apparatus and product for providing information via a public network, such as the Internet, is disclosed. A user is firstly identified, and profile data is acquired based on that person's usage history. Information, obtained via a public network, is provided to the user based on the profil
A method, apparatus and product for providing information via a public network, such as the Internet, is disclosed. A user is firstly identified, and profile data is acquired based on that person's usage history. Information, obtained via a public network, is provided to the user based on the profile. The user can either be identified specifically, or as a member of one or more demographic groups. In relation to the latter, attributes in the user profile may include the user's age group, education and occupation/profession. The user profile may optionally include a weighting for each topic of interest. If the user is identified specifically, advertising to be displayed on the Internet may be matched with the current user's profile so that the advertising provided might appeal directly to the user. If the user is identified as a member of a demographic, web sites that match the demographic can be served.
대표청구항▼
I claim: 1. A method for providing information via a public network to a user, the method comprising the steps of: identifying the user; acquiring data from each site searched or visited by the user during each session of a plurality of sessions via the public network, said acquired data comprising
I claim: 1. A method for providing information via a public network to a user, the method comprising the steps of: identifying the user; acquiring data from each site searched or visited by the user during each session of a plurality of sessions via the public network, said acquired data comprising content of each site searched or visited during each said session; for each said site searched or visited for each said session: parsing the acquired data to identify session attributes for each site searched or visited and associating a session weight with each said session attribute of each site searched or visited, wherein the session attributes for each site searched or visited are derived from keywords consisting of section headings and bolded words in the acquired data of each site searched or visited, and wherein each session weight of each site searched or visited is derived from the time spent by the user in each site searched or visited or from a frequency of visits by the user to each site searched or visited; specifying user profile attributes for the user; providing a mapping that associates each session attribute with a corresponding user profile attribute; for each user profile attribute: determining a user profile weight derived from session weights associated with session attributes corresponding to the user set profile attribute in accordance with said mapping; generating a user profile pertaining to the user, said user profile including one or more attribute records, each attribute record of said one or more attribute records comprising: a user profile attribute of said user profile attributes, the user profile weight associated with the user profile attribute, and the session weights associated with the user profile attribute; and providing information obtained via the network to said user based on said user profile. 2. The method of claim 1, wherein said step of identifying said user includes one or more of the steps of: acquiring fingerprints of the user; acquiring a retinal pattern of the user; and acquiring a voice pattern of the user. 3. The method of claim 1, wherein said providing information step comprises directing advertising to the user based on the user profile. 4. The method of claim 1, further comprising recording said keywords. 5. The method of claim 4, wherein said recording said keywords comprises storing said keywords in a cache. 6. The method of claim 1, wherein said user profile attributes are selected from the group consisting of economic stratum, age group, sex, educational background, occupation, religious background, personal technical interests, and combinations thereof. 7. The method of claim 1, wherein said user profile attributes comprise personal special interests. 8. The method of claim 1, wherein said user profile is continuously updated with usage of the public network by the user. 9. The method of claim 1, wherein said step of identifying said user includes identifying a demographic grouping to which said user belongs, wherein said identifying said demographic grouping includes capturing a video image of a portion of the body of said user, and wherein said portion of the body of said user includes the head of the user. 10. A server system for providing information via a public network to a user, comprising: means for identifying the user; means for acquiring data from each site searched or visited by the user during each session of a plurality of sessions via the public network, said acquired data comprising content of each site searched or visited during each said session; for each said site searched or visited for each said session: means for parsing the acquired data to identify session attributes for each site searched or visited and associating a session weight with each said session attribute of each site searched or visited, wherein the session attributes for each site searched or visited are derived from keywords consisting of section headings and bolded words in the acquired data of each site searched or visited, and wherein each session weight of each site searched or visited is derived from the time spent by the user in each site searched or visited or from a frequency of visits by the user to each site searched or visited; means for specifying user profile attributes for the user; means for providing a mapping that associates each session attribute with a corresponding user profile attribute; for each user profile attribute: means for determining a user profile weight derived from session weights associated with session attributes corresponding to the user profile attribute in accordance with said mapping; means for generating a user profile pertaining to the user, said user profile including one or more attribute records, each attribute record of said one or more attribute records comprising: a user profile attribute of said user profile attributes, the user profile weight associated with the user profile attribute, and the session weights associated with the user profile attribute; and means for providing information obtained via the network to said user based on said user profile. 11. The server system of claim 10, wherein said means for identifying includes means for identifying a demographic grouping to which said user belongs, wherein said means for identifying said demographic grouping includes means for capturing a video image of a portion of the body of said user, and wherein said portion of the body of said user includes the head of the user. 12. The server system of claim 10, further comprising means for recording said keywords. 13. The server system of claim 12, wherein said means for recording said keywords comprises means for storing said keywords in a cache. 14. The server system of claim 10, wherein said user profile attributes are selected from the group consisting of economic stratum, age group, sex, educational background, occupation, religious background, personal technical interests, and combinations thereof. 15. A computer program product comprising a computer usable medium having a computer readable program code embodied therein, said computer readable program code comprising an algorithm adapted to implement a method for providing information via a public network to a user, said method comprising the steps of: identifying the user; acquiring data from each site searched or visited by the user during each session of a plurality of sessions via the public network, said acquired data comprising content of each site searched or visited during each said session; for each said site searched or visited for each said session: parsing the acquired data to identify session attributes for each site searched or visited and associating a session weight with each said session attribute of each site searched or visited, wherein the session attributes for each site searched or visited are derived from keywords consisting of section headings and bolded words in the acquired data of each site searched or visited, and wherein each session weight of each site searched or visited is derived from the time spent by the user in each site searched or visited or from a frequency of visits by the user to each site searched or visited; specifying user profile attributes for the user; providing a mapping that associates each session attribute with a corresponding user profile attribute; for each user profile attribute: determining a user profile weight derived from session weights associated with session attributes corresponding to the user profile attribute in accordance with said mapping; generating a user profile pertaining to the user, said user profile including one or more attribute records, each attribute record of said one or more attribute records comprising: a user profile attribute of said user profile attributes, the user profile weight associated with the user profile attribute, and the session weights associated with the user profile attribute; and providing information obtained via the network to said user based on said user profile. 16. The computer program product of claim 15, said method further comprising recording said keywords. 17. The computer program product of claim 16, wherein said recording said keywords comprises storing said keywords in a cache. 18. The computer program product of claim 15, wherein said user profile attributes are selected from the group consisting of economic stratum, age group, sex, educational background, occupation, religious background, personal technical interests, and combinations thereof. 19. The computer program product of claim 15, wherein said step of identifying said user includes identifying a demographic grouping to which said user belongs, wherein said identifying said demographic grouping includes capturing a video image of a portion of the body of said user, and wherein said portion of the body of said user includes the head of the user.
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이 특허에 인용된 특허 (14)
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Herz Frederick S. M. ; Eisner Jason M. ; Ungar Lyle H. ; Marcus Mitchell P., System for generation of user profiles for a system for customized electronic identification of desirable objects.
Shkedi, Roy, Condition-based, privacy-sensitive media property selection method of directing electronic, profile-based advertisements to other internet media properties.
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Martin, Anthony; Goulden, David L.; Bennett, Dominic V.; Petersen, Roger; Paczkowski, Remigiusz K., Method and device for publishing cross-network user behavioral data.
Martin, Anthony; Goulden, David L.; Bennett, Dominic V.; Petersen, Roger; Paczkowski, Remigiusz K., Method and device for publishing cross-network user behavioral data.
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Amidon, Christopher; Evans, Gregory; Walsh, Richard; Issa, Alfredo, System and method for representing content, user presence and interaction within virtual world advertising environments.
Kasterstein, Rami; Ben-David, Amihay; Simhon, Joey Joseph, System and methods thereof for tracking and preventing execution of restricted applications.
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