SYSTEM, COMPUTER PROGRAM PRODUCT AND COMPUTER-IMPLEMENTED METHOD FOR SHARING ACADEMIC USER PROFILES AND RANKING ACADEMIC USERS
A system for sharing academic articles and credential information for a plurality of academic users is described herein. Embodiments of the system, computer program product and computer-implemented method perform a process for gathering data related to the academic user and a process for determining a reputation ranking for the academic user by executing the steps of: creating a user profile for the academic user from attribute information gathered from a user profile prompt, enabling the user profile from the academic user to be viewed by academic and non-academic users to provide a rank selection for the user profile for the academic user according to at least one of research quality, credentials, research articles, and user activity, and determining a reputation ranking for the user profile from the rank selection of the other academic users.
The following invention relates generally to a system for sharing user profiles, and more specifically to a system for searching and sharing user profiles for a plurality of users, such as academic users, e.g., professors, researchers, research clinicians, scientists, etc, and ranking the users for contribution quality and reputation.
BACKGROUND OF THE INVENTIONCurrently, there are several social networking sites that allow users to post profiles and content to an online forum, e.g., art work, writing, clippings, photos, etc. However, most of these websites are available for the general public to join, making it difficult to locate relevant user profiles and information, screen service providers and others from the network, and control quality of the postings. Some sites have sought to alleviate the screening and location issues by establishing groups within the social networking site and restricting access for complaints about users that contact people outside their group without prior contact. These methods generally fail in an academic context, however, because a general user may join a group to search for researchers to pose a question to, e.g., an academic researching a new cancer drug, making the site burdensome to researchers in the field. Some sites also attempt to restrict profile searching to people who have similar educational backgrounds, professional backgrounds etc., but such searches may not locate academics in similar research fields from different institutions.
Conventional social networking sites also have issues when it comes to evaluating the quality of profiles and user content. Some sites attempt to alleviate the quality issue by allowing site users to provide positive or negative feedback regarding a particular user, e.g., to “like”, to up vote, or to post comments related to the content or user. Unfortunately, this method of user evaluation has serious drawbacks for academic content. For example, there is no way to measure the quality of the user feedback for a particular user, so if content is highly technical or has a limited audience, the feedback may not be an accurate indicator of content quality, or worse, it may be offensive.
A need exists for a method and system that solves the issues identified above.
SUMMARY OF THE INVENTIONOne embodiment of the invention is a system for sharing academic user profiles, research articles and credential information for a plurality of academic users. The system comprises a computer having a tangible, non-transitory computer memory, with the non-transitory memory having stored thereon a plurality of computer instructions to perform a process for gathering data related to an academic user and a process for determining a reputation ranking for the academic user. The computer instructions in such an exemplary embodiment execute the steps of creating a user profile for the academic user from attribute information gathered from a user profile prompt displayed on a user computer associated with the academic user, enabling the user profile from the academic user to be viewed by other academic users and a plurality of non-academic users and selected for ranking by other academic users on other user computers associated with the other academic users, enabling the other academic users to provide a rank selection for the user profile for the academic user according to at least one of research quality, credentials, research articles, and user activity, and determining a reputation ranking for the user profile from the rank selections.
Another embodiment of the invention is a computer program product comprised of a series of instructions executable on a computer for performing a process for gathering data related to the academic user and a process for determining a reputation ranking from the academic user. In some embodiments, the computer program product executes the steps of: creating a user profile for the academic user from attribute information gathered from a user profile prompt displayed on a computer display associated with the academic user, enabling the user profile from the academic user to be viewed and selected by other academic users, enabling the other academic user to provide a rank selection for the user profile for the academic user according to at least one of reputation ranking, academic credentials, publication volume, and user activity, and determining a reputation ranking for the user profile from the rank selection of the rank selection.
Another embodiment of the invention is a computer-implemented method comprised of a series of instructions that cause a computer to perform a process for gathering data related to a plurality of academic users and a process for determining a reputation ranking for an academic user. In some embodiments, the method includes the steps of: creating a user profile for the academic user from attribute information gathered from a user profile prompt displayed on a user computer associated with the academic user, enabling the user profile from the academic user to be viewed by other academic users and a plurality of non-academic users and selected for ranking by other academic users on other user computers associated with the other academic users, enabling the other academic users to provide a rank selection for the user profile for the academic user according to at least one of research quality, credentials, research articles, and user activity, and determining a reputation ranking for the user profile from the rank selections.
So that the features and advantages of the invention may be understood in more detail, a more particular description of the invention briefly summarized above may be had by reference to the appended drawings, which form a part of this specification. It is to be noted, however, that the drawings illustrate only various embodiments of the invention and are therefore not to be considered limiting of the invention's scope as it may include other effective embodiments as well.
To address the need set forth above, according to one aspect, the invention includes a communications network interface, e.g., a web server and firewall, for interacting with a plurality of academic and non academic users, a database for storing academic user profile data, and an aggregator computer for implementing the functionality of some embodiments of the instant invention. As used herein, the term “academic user” refers to users that engage in academic and/or research activities at, e.g., universities, colleges, research institutions, companies, etc., and the term “academic user profile” refers to the profiles of such persons. The term “non-academic user”, as used herein, refers to users that are not “academic users” as described above.
More specifically, as can be seen in
As previously mentioned, the user computers 102 are connected to the aggregator computer 106 via communications network 104, which may be a single communications network or comprised of several different communications networks. As such, communications network 104 can be a public or private network, which can be e.g., any combination of the internet and intranet systems, that allow a plurality of system users to access the academic profile data. For example, communications network 104 can connect all of the system components using the internet, a local area network (“LAN”), e.g., ethernet or WI-FI, or wide area network (“WAN”), e.g., LAN to LAN via internet tunneling, or a combination thereof, and using electrical cable e.g., HomePNA or power line communication, optical fiber, and radio waves, e.g., wireless LAN, to transmit data. As one skilled in the art will appreciate, in some embodiments, user computers 102 may be networked together using a LAN for a university, home, apartment building, etc., but may be connected to the aggregator computer 104 via an internet tunneling to implement a WAN. In other instances, all of the user computers 102 and the aggregator computer 106 may connect using the internet. Still in other implementations, a user may connect to the aggregator using, e.g., wireless LAN and the internet. Moreover, the term “communications network” is not limited to a single communications network system, but may also refer to separate, individual communications networks used to connect the user computers 102 to aggregator computer 106. Accordingly, though each of the user computers 102 and aggregator computer 106 are depicted as connected to a single communications network, such as the internet, an implementation of the communications network 104 using a combination of communications networks is within the scope of the invention.
As one skilled in the art will appreciate, the communications network interfaces with aggregator computer 106, preferably via a firewall (not shown) and web server (not shown) to provide a secure access point for users 101 and to prevent users 101 from accessing the various protected databases in the system. In some embodiments, the firewall may be a network layer firewall i.e., packet filters, application level firewalls, or proxy servers. In other words, in some embodiments, a packet filter firewall can be used to block traffic from particular source IP addresses, source ports, destination IP addresses or ports, or destination service like www or FTP, though a packet filter in this instance would most likely block certain source IP addresses. In other embodiments, an application layer firewall may be used to intercept all packets traveling to or from the system, and may be used to prevent certain users, i.e., users restricted or blocked from system access, from accessing the system. Still, in other embodiments, a proxy server may act as a firewall by responding to some input packets and blocking other packets.
Returning to the figures, database 108 communicates with and uploads data to the user computers via the aggregator computer 106 and communications network 104. As such, database 108 may be, for example, one or more computers, file servers or database servers implemented as network attached storage (NAS), storage area networks (SAN), or direct access storage (DAS), or any combination thereof or of other systems, comprising, e.g., multiple hard disk drives. In some embodiments, the file servers or database servers defining the database 108 may also allow various user computers 102 to directly access, and display data stored thereon. Moreover, each of these file servers or database servers may allow users to upload data to the database. For example, an academic user may upload a photograph, a Curriculum Vitae (“CV”), academic article, and/or raw or processed research data, post blog entries, ask questions, post research updates, etc, to be stored in, e.g., separate file servers or the same file server, in a plurality of databases, tables, or fields in separate portions of the file server memory. Accordingly, as is known in the art, the computer implementing database 108 may have stored thereon database management system, e.g., a set of software programs that controls the organization, storage, management, and retrieval of data in the databases. As one skilled in the art will appreciate, in some embodiments, database 108 may be stored in the aggregator computer memory (to be discussed below). As one skilled in the art will also appreciate, though database 108 is depicted connected to, or as a part of, the aggregator computer 106, not the communications network 104, the database 108 may be, e.g., remote storage or connected to the aggregator computer 106 via a privately networked system.
An aggregator computer 106 will now be described with reference to
As can be seen, the I/O device 202 is connected to the processor 204. Processor 204 is the “brains” of the aggregator computer 106, and as such executes program product 208 and works in conjunction with the I/O device 202 to direct data to memory 206 and to send data from memory 206 to the various file servers and communications network. Processor 204 can be, e.g., any commercially available processor, or plurality of processors, adapted for use in an aggregator computer 106, e.g., Intel® Xeon® multicore processors, Intel® micro-architecture Nehalem, AMD Opteron™ multicore processors, etc. As one skilled in the art will appreciate, processor 204 may also include components that allow the aggregator computer 106 to be connected to a display [not shown] and keyboard that would allow, for example, an administrative user direct access to the processor 204 and memory 206.
Memory 206 may store the algorithms forming the computer instructions of the instant invention and data, and such memory 206 may consist of both non-volatile memory, e.g., hard disks, flash memory, optical disks, and the like, and volatile memory, e.g., SRAM, DRAM, SDRAM, etc., as required by embodiments of the instant invention. As one skilled in the art will appreciate, though memory 206 is depicted on, e.g., the motherboard, of the aggregator computer 106, memory 206 may also be a separate component or device, e.g., FLASH memory or other storage, connected to the aggregator computer 106.
As shown in
Another module, the user comment module 304, consists of a computer process to enable a plurality of academic users and non-academic users to comment on academic user profiles. For example, an academic user may be able to comment on other academic user profiles, peer papers, research activity, reputation ranking, profile or blog posts, or respond to comments posted on the academic user's profile. In some embodiments, all users, including non-academic users, may be able to comment on, e.g., academic user profiles, research activity, academic article, blog posts, reputation rankings, etc. In other embodiments, non-academic users may be restricted from commenting on the above. Still in other embodiments, academic users that are classified as students may have a separate space in the user comment module to advise other students on the quality of an academic user as a professor, advisor, etc. The user comment module 304 may also include links to “like”, up vote, link to postings on an academic user's profile or to an academic user profile, and follow an academic user profile. In some embodiments, the user comment module may also allow a user to reference postings, e.g., by providing a cut and paste function and/or a citing function to the article posted on an academic user's profile.
Returning to
An exemplary embodiment of the computer program flow for processes implementing the profile module 302, user comment module 304 and profile rank module 306 will now be discussed with reference to
Various formula may be used by the profile rank module 306 to perform the steps above. For example, the reputation rating for an academic user may be a combination of an interactive score and traffic score, where for the interactive score:
-
- N is a number of users
- T is a set of claimed types
- Ct,j,i is a value of claim type t between user i and user j
- wt is a weight of the claim type t, where ΣtεTwt=1
- c=0.1−a dumping factor
- S=5 is a smoothing factor
- Matrix:
-
- then interactive score is calculated as follows:
And, the traffic score is:
where
-
- N is a number of users
- T′ is a set of traffic contribution types (e.g. publication views)
- wt′ is a weight of the traffic type t, where ΣtεT′wt′=1
- dt is a damping of the traffic type t
- Tt,i is a number of views/downloads/etc. of the type t for user i.
Putting together the equations yields the reputation rating, as a combination of a traffic boost, and interactive score below:
Real Score:
Display Score:
scoreDISPLAYt=10√{square root over (scoreREALt)}
As one skilled in the art will appreciate, other steps may be added to those described above to implement other features of the profile rank module, e.g., an instruction to determine whether an academic user is a student user and assigning a ranking weight accordingly or providing a second ranking for teaching quality. Accordingly, though not all such instructions are described herein, all variations in implementation should be considered within the scope of the invention.
An exemplary embodiment of the computer program flow for processes implementing the user profile module 302 is described with reference to
Returning to the figures, the computer program flow for processes comprising the user communications module 304 will be described with reference to
Turning to
Returning to
As one skilled in the art will appreciate, each of the relational tables may be used to construct GUIs as described for the program product above that allow a user to interact with the computer program of the instant invention, and exemplary GUIs and their functions will be described with reference to
As one skilled in the art will further appreciate, the display pages of
Moreover, in the drawings and specification, there have been disclosed a typical preferred embodiment of the invention, and although specific terms are employed, the terms are used in a descriptive sense only and not for purposes of limitation. The invention has been described in considerable detail with specific reference to these illustrated embodiments. It will be apparent, however, that various modifications and changes can be made within the spirit and scope of the invention as described in the foregoing specification, and such modifications and changes are to be considered equivalents and part of this disclosure.
Claims
1. A method comprising:
- receiving content from a plurality of users and storing the content in a database in association with a plurality of respective user profiles;
- receiving feedback from at least some of the users on the content associated with the user profiles of other users and storing the feedback in the database in association with the respective user profiles; and
- using a processor, computing reputation rankings for the user profiles based at least in part on the feedback, weighted based on at least one of the reputation ranking, credentials, publication volume, or user activity of the respective user from whom the feedback was received.
2. The method of claim 1, wherein the users are academic users and the user profiles are academic user profiles.
3. The method of claim 1, wherein the content received from at least one of the users comprises at least one of a CV of the user, a publication authored by the user, education or research information about the user, information about an institution or organization with which the user is affiliated, or a recommendation for the user.
4. The method of claim 1, further comprising prompting the user to upload at least one of a CV of the user, a publication authored by the user, or a recommendation for the user, at least some of the content being received in response to the prompting.
5. The method of claim 1, wherein the feedback comprises at least one of a comment, a like, an up vote, a link to the content, a copy from the content, a citation to the content, or a follow.
6. The method of claim 1, wherein the feedback comprises rank selections for the other users' user profiles.
7. The method of claim 1, further comprising providing the user profiles and associated content for viewing by other users.
8. The method of claim 7, further comprising providing links, in a graphical user interface displaying the user profiles and associated content, to comment on, like, up vote, link to, copy from, cite to, or follow the content.
9. The method of claim 7, further comprising providing at least some of the feedback for viewing along with the user profiles and associated content for which the feedback was received.
10. The method of claim 7, further comprising publishing the computed reputation rankings on the respective user profiles.
11. The method of claim 1, wherein the feedback is weighted at least by the reputation rankings of the users from whom the feedback was received.
12. The method of claim 1, wherein the feedback is weighted further based on whether the respective users from whom the feedback was received are students.
13. The method of claim 12, further comprising computing teaching-quality ratings for at least some of the user profiles based on at least some of the feedback from users that are students.
14. The method of claim 1, wherein computing reputation rankings for the user profiles comprises combining an interactive score and a traffic score.
15. The method of claim 14, wherein the reputation rankings are computed based in part on a number of views or downloads.
16. A system comprising:
- a processor implementing a plurality of program modules comprising: a profile module to gather content from a plurality of users and, based thereon, create respective user profiles for viewing by other users, a user comment module to receive user feedback on at least some of the user profiles, and a profile rank module to compute reputation rankings for the user profiles based at least in part on the feedback, weighted based on at least one of the reputation ranking, credentials, publication volume, or user activity of the respective user from whom the feedback was received.
17. The system of claim 16, further comprising:
- a database storing the gathered content and the feedback received thereon in association with the respective user profiles.
18. The system of claim 16, wherein the content received from at least one of the users comprises at least one of a CV of the user, a publication authored by the user, education or research information about the user, information about an institution or organization with which the user is affiliated, or a recommendation for the user.
19. The system of claim 16, wherein the feedback comprises at least one of a comment, a like, an up vote, a link to the content, a copy from the content, a citation to the content, a follow, or a rank selection for the other user's user profile.
20. The system of claim 16, wherein the feedback is weighted at least by the reputation rankings of the users from whom the feedback was received.
Type: Application
Filed: Jul 10, 2015
Publication Date: Jan 21, 2016
Inventors: Sören Hofmayer (Goettingen), Viacheslav Zholudev (Berlin), Ijad Madisch (Berlin), Horst Fickenscher (Berlin), Michael Haeusler (Berlin), Axel Tölke (Berlin)
Application Number: 14/796,894