System and Method for Dynamically Generating A Content Correlated Service Based Mobile Social Network

• US 20160140671A1
• Filed: 11/17/2014
• Published: 05/19/2016
• Est. Priority Date: 11/17/2014
• Status: Abandoned Application

• Current Assignee: Jin Hong
• Original Assignee: Jin Hong
• Inventors: Hong, Jin
• Application Number:
  US14/543,855
• Publication Number:
  US 20160140671A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

A system and method of dynamically generating a content correlated service based mobile social network includes the steps of connecting users through automatic correlation and association of at least one of the common service characteristics and business classifications of the contents, based on sharing and matching of a set of favorite attributes of the contents and preference criteria of users, without the sharing of personal private and sensitive information. The system and method includes automatic self discovery of favorite businesses and services from the user'"'"'s own preferences and those of the matching users in the user'"'"'s internal and external social connections, and the online searching, ranking, notification and utilization of a list of recommended favorite businesses and services in the desired local proximity by the user. The system and method further includes the self generation, uploading, and update of the detailed records of the businesses and services that are readily accessible in such that the users and consumers can share their life experiences or personal preferences, and to establish mutual social connections based on their common interest to the local businesses and services.

Claims

1. In a mobile computing system including a server and a database of registered users connected through Internet or wireless communication means, a method dynamically generating a mobile social network, based on characteristics and classifications of businesses and related services, users'"'"' personal preferences, priorities and their uploaded records in the server database with regard to their specific interest and feedback about the relevant businesses and services, and automatically managing, correlating, selecting, ranking and displaying the necessary contents of interest to users in time sensitive and location aware manners, the method comprising the steps of:

Displaying to the registered viewing user the personal favorite contents of businesses and services at the time and location of viewing, obtained from the computer system database, based on the user'"'"'s history of uploaded records and past preferences of those favorite contents, and other available nearby businesses and services within the desired proximity of the user;

Retrieving from the computer system database, the favorite contents of nearby businesses and services of other users who are linked together with the viewing user in this mobile social network through the sharing of certain common interest to some other businesses and services, and ranking the nearby businesses and services in relation to the preferences and location of the viewing user, based on the matching and weighting to a collection of service characteristics, business classifications, personal criteria, favorite attributes, among the viewing user, the users linked with the viewing user, and all the nearby businesses and services within the desired proximity of the viewing user, displaying accordingly to the viewing user a recommended ranking list of the favorite contents of businesses and services for the user to choose from pending on the privacy and preference settings of the viewing user;

Allowing the viewing user to take actions to generate more favorite contents of businesses and services of personal interest, which is made of any form of photos, notes, messages, voice records, video clips, and a combination of some of them, through the use of available capabilities from smart phones or other computing devices, and to upload and download his or her own favorite records to or from the server database respectively;

Providing means for the viewing user to indicate or to add certain favorite characteristics, classifications and attributes to the user favorite records each time when they are generated, with time stamps, location indicators, personal preferences, security settings, sharing options, and additional notes and criteria that are not already built in the computer system, or not in the profile settings of the user or the businesses and services. Such an indication to the businesses and services is achieved either through the active selection of the user, or the automatic correlation by the computer system by means of matching the favorite records with the location of the user, and the registered profiles of the user, the business, and the related services;

Providing means for the viewing user to upload such user generated favorite records, their characteristics and classifications onto the computer server and database through the Internet or wireless communication means;

Storing the user'"'"'s newly generated favorite records in the computer server and database in such that the records become trackable, sortable, retrievable, viewable, and shareable through the recorded characteristics, classifications, attributes and criteria, not only by the users, but also by the contents they contain;

Correlating the viewing user'"'"'s records with those similar records of other users in the computer server database, calculating and determining a matching list of possible linkages with priority ranking between the viewing user and some other users, based on their preference settings, security profile settings, contents of favorite records uploaded onto the server database, the favorite characteristics, classifications and attributes indicated in their records, the active status of the relevant users, and displaying such matching list of ranking users to the viewing user, with consideration to additional display and sharing options and restrictions set by the viewing user and the matching users;

Providing means for the viewing user to initiate an invitation to the selected matching and ranking users to join a specific content correlated social circle, either existing or newly created by the viewing user, where the favorite records, viewpoints and further information about the contents of the businesses and services are shared, exchanged, discussed and further expanded;

Providing means for the receiving user of the invitation to join a content correlated circle to take proper actions, to either accept, forward, ignore, reject the invitation, or report to the system as an issue to be addressed, and to allow the initiating and accepting users to be connected in the specific social circles once accepted, so that each user can further explore other user'"'"'s favorite contents of businesses and services through the shared and open preference linkages;

Providing means for the viewing user to review his or her own active statistical status in the specific circle about the relevant contents of the businesses and services, as well as the status of a ranking list of other users visible to the viewing user in the circle, in such that the viewing user can further initiate request to join other circles of interest through the other ranking users, which needs to be accepted by the other user or the owner of the circle before joining, unless the joining of such circles is made open to the public by the owning user;

Providing means for the viewing user to automatically discover other matching users with shared interest in some characteristics, classifications, attributes, criteria to some businesses and services, so that the the viewing user can build up his or her own social network circles, either internally in the computer system, or externally through the mutual connections with the matching users, to form a content correlated favorite focused communities of his or her interest, without the compromise of personal private and sensitive information;

Providing means for the viewing user to automatically discover a ranking list of recommendation of favorite businesses and services under the same business category of user'"'"'s interest, within the desired proximity of the viewing user, which matches with the user'"'"'s preference settings and the historical indications of user'"'"'s preference in the uploaded favorite records;

Providing means for the viewing user to automatically discover a ranking list of recommendation of favorite businesses and services under one business category of user'"'"'s selection, within the desired proximity of the viewing user, based on the preference settings and the historical indiction of the preferences in the uploaded favorite records under another different business category by the user, and based also on the preferences and favorite records under the same business category of the viewing user'"'"'s selection from the user'"'"'s circles of social connections, which effectively allows the viewing user to automatically discover favorite businesses and services within the location of his interest in one business category, based on favorite business and services in another business category, whether through his or her own favorite records or the favorite records of his or her social circles;

2. The method according to claim 1, wherein the business category comprises of different “

Business Groups”

by users'"'"' choice. The businesses and services under various “

Business Groups”

can be offered by registered companies, and can also be offered and owned by private individuals who are marketing, exchanging or selling his or her products and services to other users in the circles.

3. The method according to claim 1, wherein the content of the user favorite records of any business and service comprises a business name, a service item, a title of the record, a descriptive message, a photo image of the item, a time stamp of the record, a location identification, a category used to indicate the reason the business and service is the favorite of the user which further consists of various distinct service characteristics, business classifications, favorite attributes and personal criteria either pre-defined by the computer system, or selected and added by the user. In addition to those items listed above, the content can further comprise a voice record, a video clip, and a link to its web site or other social networking sites of the business and related service.

4. The method according to claim 1, wherein the service characteristics, business classifications, favorite attributes, and personal criteria by the computer system and the users comprise different choices in different business categories. For each business category, the computer system defines on one side a general list of such items for users to choose from in the mobile application, and also provides on the other side a capability for users to create and add new items to the computer system, for their own interest, which can be made available to the public of all users by the computer system if such items become popular among many users.

5. The method according to claim 1, wherein the uploaded user records to the server database is stored with the indication of the user favorite characteristics, classifications, attributes, and criteria either determined by the user at the time of generating and uploading these records, or by the computer system automatically based on the user'"'"'s past preferences and the preference profiles of the business and services.

6. The method according to claim 1, wherein the users comprise of at least two major groups. One group consists of general consumers who are the end users of the mobile application for their own interest and convenience to explore the businesses and related services of their favors, while the other group consists of the business owners who register with the computer system for the businesses and services they own, describe and market in the computer system their businesses and services, classify their businesses and services into categories, define their businesses'"'"' general preferences, specific focus, and detailed specialties, generate and upload to the server database the commercial records for their businesses'"'"' service items, using the same format of user records which is defined according to claim 3. The business owners can login into their respective business accounts, edit and modify any information and photos contained in the records, such as service item price, service item photo, special coupon, specific seasonal or occasional a notice to their customers through Internet means. Those edits, modifications, promotions, coupons, new or updated service items, sales and marketing presentations, can be made open to users in real time if the private settings of the business profile permit such transparency. If the owners of their businesses and services register also with the computer system as general end users to explore other businesses and services of their own favors and conveniences, those accounts registered by them are treated by the computer system as normal individual user accounts which are not different from those of other users as end consumers.

7. The method according to claim 1, wherein the user records inside server database comprise of two different domains, one data domain for consumers and another data domain for businesses. These two domains of data further comprise user favorite records and business service items, respectively, while each record is further categorized by various service characteristics, business classifications, favorite attributes and personal criteria under different business groups, different businesses, different services, and different times and locations, which are represented by the specific database table designs and structures.

8. The method according to claim 1, wherein the user favorite records are searched, sorted, compared and ranked such that a common link between two users is established internally inside the server database, if a shared interest in any one of characteristics, classifications, attributes, and criteria is found between the two users for the same business and service. The ranking of the matching between two users is determined and weighted by both the number of internal links established between them and by the number of the shared interest in each link. Each user has a ranking list of matching users based on the internal social links inside the computer database system. The internal social links among all the users form the framework of an internal mobile social network that is only visible to the computer systems, not to the linked users. This forms the basis of user matching by common favorite to certain businesses and services, through the automatic and dynamic correlation of the uploaded information and pre-defined profiles and settings.

9. The method according to claim 8, wherein the computer system allows the user to initiate social connection requests to other users with whom the user has established internal links inside the computer system. Pending on the privacy settings of the receiving user and his or her response to the user'"'"'s connection request, the computer system puts the internal links into different status to indicate the acceptance, rejection or on-hold of the connection request by the receiving user. Once accepted, the internal links between the two users become the external links and visible to both users so that the two users become connected in the content correlated and favorite focused social network. Each user can view the other user'"'"'s other favorites under the same business category.

10. The method according to claim 8, wherein the computer system utilizes the users from the ranking matching list for the viewing user, and searches for the favorite businesses and services by these users in the server database based on their uploaded records, within the desired proximity of the viewing user, and makes a list of ranking recommendations to the viewing user for favorite businesses and services under the same business category as indicated in the established internal links. This forms the basis for self discovery of favorite businesses and services under the same business category group.

11. The method according to claim 9, wherein the computer system utilizes the users from the external social links of the viewing user under one business category as indicated in the established internal links, and searches for the favorite businesses and services by these users in the server database based on their uploaded records, within the desired proximity of the viewing user, and makes a list of ranking recommendations to the viewing user for favorite businesses and services, under a different business category as selected by the viewing user. In this case, the viewing user may not need to have any known preferences and records in this new business category. The ranking recommendation list may mainly come from the known favorite businesses and services of these ranking matching users in the viewing user'"'"'s internal and external social links in the other business category where the viewing user has some shared common interests with his or her circles of links.

12. The method according to claim 6, wherein the business and service records in the server database uploaded by the business owners are open and visible to all general purpose end users. Each consumer can search for the businesses, the service items, the related records, the business classifications, the business preferences, the detailed specialities, in order to find out whether the relevant business and service is of his or her own interest, matching some of his or her preferences and favorite service attributes, or personal criteria. Each business owner can update any time the business information and the service records, which is then made visible to all end users by the computer system.

13. The method according to claim 6, wherein the business and service records uploaded by the business owners in the server database comprise the information about the price of the service items, which are made visible by the computer system, either to all users or to the users paying for the service items. The option is set by the business owner in his or her business profile and security settings and utilized by the computer system.

14. The method according to claim 6, wherein the business and service records uploaded by the business owners in the server database are connected directly and automatically by the computer system to the online service capabilities related to the relevant businesses and services. Those capabilities comprise of one or some combinations of the following items, namely, the online ordering capability which allows the consumers to order directly online from the computer system for the business service items and to pay for them directly, the online reservation capability which allows the consumers to make reservations to the business service items online, the online coupon capability which allows the consumers to view and utilize the available coupons online directly for the business service items, and also other online service capabilities. All of these online service capabilities are the integral part of the content correlated and service focused dynamic social mobile network in the current computer system, enabling businesses and services to have full control of their online offerings in real time, and consumers to have full visibility and capability to review and utilize those services offered by businesses.

15. The method according to claim 11, further comprising the steps of:

Obtaining one business group category A with the viewing user'"'"'s input and selection;

Under this business group category A, obtaining the viewing user'"'"'s profile, preference setting, user'"'"'s favorite table, user'"'"'s favorite records, user'"'"'s internal and external social connections, and calculating the user'"'"'s ranking list of matching users, as in claim 8;

Obtaining another business group category B based on the user'"'"'s input and selection, obtaining a new list of nearby businesses and services under this business group B;

Under the business group category B, comparing the viewing user'"'"'s profile and preference setting, user'"'"'s favorite table and user'"'"'s favorite records, discovering some of the nearby businesses and services that match with the viewing user'"'"'s favorite setting or uploaded history, and assigning weighting functions to the favorite businesses and services based on the number of the matches and frequency of the matched occurrences in the uploaded user favorite records, as in claim 10;

Under the business group category B, going through the list of the ranking matching users of the viewing user through his or her internal and external social connections, discovering the favorite nearby businesses and services by those ranking matching users, and assigning weighting functions to the favorite businesses and services based on the number of the matches and frequency of the matched occurrences in their uploaded user favorite records, as well as the number of the established links between the viewing user and the other user in the viewing user'"'"'s ranking matching list.

Comparing and ranking the list of nearby businesses and services obtained from the viewing user'"'"'s own preferences and uploaded records, with the list obtained from the preferences and uploaded records of other users who are in the ranking matching list of the viewing user;

Displaying the combined ranking list of nearby favorite businesses and services under the business group category B as the ranking recommendation list to the viewing user based on the viewing user'"'"'s initial preferred selection under the business group category A. This enables the viewing user to discover favorite businesses and services under one business group category B, based on the known favorite businesses and services by those users in the viewing user'"'"'s ranking matching list, who share some internal and external social connections in the current computer system with the viewing user, due to their shared interests in some favorite businesses and services under another business group A, which are discovered through the automatic correlation of the contents uploaded to the server database by the viewing user and other users.

16. The method according to claim 9, wherein the external links that connect two users together comprise only the relevant information about the businesses and services, the favorite characteristics, the business classifications, the favorite attributes, the personal criteria, the timestamp, the locations, and the uploaded contents about the relevant businesses and services by the two users if permitted by their respective owners to be open to each other, or to all users in the same shared communities. No personal private and sensitive information, and no other information the owner deems to be important and needs to be protected, are shared or disclosed to each other in such external social network. The social network is built on top of the shared common interest in certain businesses and services among those users who may not know, or need not know, each other in real life for any particular reasons. It is not built to share private and personal sensitive information.

17. The method according to claim 15, wherein the favorite businesses and services of each user discovered through personal preferences or preferences of the other matching users under the same business category or different categories, are organized and categorized in the server database by “

Personal Groups” and

“

Business Groups”

, and further by service characteristics and favorite attributes.