SOCIAL NETWORKING EVENT PLANNING

• US 20150248651A1
• Filed: 02/25/2015
• Published: 09/03/2015
• Est. Priority Date: 02/28/2014
• Status: Abandoned Application

• Current Assignee: Christine E. Akutagawa, Lucas Myslinski
• Original Assignee: Christine E. Akutagawa, Lucas Myslinski
• Inventors: Myslinski, Lucas J., Akutagawa, Christine E.
• Application Number:
  US14/631,279
• Publication Number:
  US 20150248651A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/2465 Query processing support for facilitating data mining operations in structured databases
• CPC Class Codes: G06Q 10/1095 Meeting or appointment
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: H04L 51/214 using selective forwarding
• CPC Class Codes: H04L 51/222 using geographical location information, e.g. messages transmitted or received in proximity of a certain spot or area
• CPC Class Codes: H04L 51/52 for supporting social networking services
• CPC Class Codes: H04L 65/403 Arrangements for multi-party communication, e.g. for conferences data switching systems for conference H04L12/18; arrangements for connecting several subscribers to a common circuit, i.e. affording conference facilities H04M3/56; television conferencing systems H04N7/15

Abstract

Event planning using social networking enables an efficient implementation of planning an event, as well as minimizing network traffic and optimizing other technological aspects of life. Additional information acquired by sensors and other technology is able to improve the quality of the event planning. Social network information as well as the additional information is able to be used to select aspects of the event such as time, location, and/or many other aspects of the event.

Claims

1. A system comprising:

a. a watch including a body fluid sensor configured for sensing one or more body fluids used to generate body fluid analysis information; and

b. a mobile phone configured for;

i. communicating with the watch;

ii. determining information in common between a plurality of contacts of a social networking system;

iii. analyzing additional information including a current location of at least one contact of the plurality of contacts of the social networking system, traffic conditions for the at least one contact of the plurality of contacts of the social networking system, the body fluid analysis information for the at least one contact of the plurality of contacts of the social networking system, and recent meals of the at least one contact of the plurality of contacts of the social networking system; and

iv. providing an event recommendation by computing recommendation scores based on the information in common and the additional information.

2. The system of claim 1 wherein the recent meals of the plurality of contacts are determined using a smart home appliance including a camera device and a weighing device, further wherein the smart home appliance identifies a food item based on an image acquired using the camera device and the weighing device, and cuisines of the recent meals are not recommended unless a pattern of preferring a same cuisine is determined.

3. The system of claim 1 wherein analyzing the additional information comprises determining if a group coupon offered to a group of users has been purchased by the at least one contact of the plurality of contacts and increasing a recommendation score of an event associated with the purchased group coupon.

4. The system of claim 1 wherein analyzing the additional information comprises determining a type of event based on keywords detected in a communication between the plurality of contacts and determining a relationship of the plurality of contacts.

5. The system of claim 1 wherein analyzing the additional information comprises analyzing separate event planning of contacts of the plurality of contacts including determining if a potential conflict exists between the plurality of contacts.

6. The system of claim 1 wherein analyzing the additional information comprises utilizing timestamps of events to determine which information is most relevant such that the information that is less recent based on the timestamps is considered less relevant resulting in fewer points added to a recommendation score for an event, and the information that is more recent based on the timestamps is considered more relevant resulting in more points added to the recommendation score for the event.

7. The system of claim 1 wherein analyzing the additional information comprises analyzing images to determine a product of interest to the at least one contact of the plurality of contacts of the social networking system, wherein the product of interest is determined by comparing the images or parts of the images with source information to determine the product of interest in the images, and adding points to a recommendation score of an event associated with the product of interest.

8. The system of claim 1 wherein analyzing the additional information comprises determining preferences in real-time of the at least one contact of the plurality of contacts of the social networking system from brain wave information acquired using a brain wave analysis device including a brain wave sensor and a presentation system, wherein the brain wave sensor acquires the brain waves while the presentation system provides the at least one contact of the plurality of contacts of the social networking system with one or more images.

9. The system of claim 1 wherein the body fluid analysis information is generated in real-time using the watch.

10. The system of claim 1 wherein analyzing the additional information comprises determining an activity pattern of the at least one contact of the plurality of contacts of the social networking system, wherein the activity pattern includes a relationship between an activity and food.

11. The system of claim 1 wherein analyzing the additional information comprises analyzing a to-do list of the at least one contact of the plurality of contacts of the social networking system to determine if items on the to-do list are located near an event to recommend, and increasing the recommendation score of the event based on the to-do list.

12. The system of claim 1 wherein analyzing the additional information includes analyzing an adventure rating, wherein the adventure rating is determined based on likes and dislikes of the at least one contact of the plurality of contacts of the social networking system, wherein the adventure rating increases as a difference between a number of likes and a number of dislikes increases, with the number of likes being greater than the number of dislikes.

13. The system of claim 1 wherein providing the event recommendation by computing the recommendation scores comprises utilizing points for items including likes, dislikes, traffic, wait times, recent meals, and group coupons to compute the event recommendation, wherein the items are each weighted.

14. The system of claim 1 wherein providing the event recommendation utilizes a process of elimination by eliminating events that have a recommendation score below a first threshold, then increasing the first threshold to a second threshold and eliminating the events that have the recommendation score below the second threshold, and repeating the process until a specified number of events remain.

15. The system of claim 1 wherein providing the event recommendation includes providing a detailed event recommendation including an event and specifics items related to the event including menu recommendations.

16. The system of claim 1 wherein providing the event recommendation comprises determining a percentage of likelihood of attending an event and providing a color-coded percentage of likelihood of attending the event for each of the contacts, and calculating and providing alternative events with a higher likelihood of attending success, further wherein if a contact of the plurality of contacts cancels, then recalculating the event recommendation.

17. The system of claim 1 further comprising providing the plurality of contacts with generic information about an event and enabling each contact of the plurality of contacts to accept or reject a possible invitation to the event.

18. The system of claim 1 further comprising providing a list of contacts to select for an event wherein the list of contacts is determined based on the information in common and the additional information, further wherein a percentage of likelihood of attending the event is displayed for each contact.

19. A method comprising:

a. determining, with a mobile phone, information in common between a plurality of contacts, wherein the plurality of contacts include a potential employee and a potential employer;

b. analyzing, with the mobile phone, additional information including information related to employees at the potential employer, wherein analyzing includes comparing the information related to the employees with information related to the potential employee; and

c. providing, on a watch device configured to communicate with the mobile phone, a job recommendation based on the information in common and the additional information.

20. A mobile phone comprising:

a. a memory for storing an application for automatically performing the following steps;

i. monitoring and processing a communication between a plurality of contacts of a social networking system;

ii. determining an identity of each contact of the plurality of contacts;

iii. determining information in common between the plurality of contacts;

iv. analyzing additional information;

v. calculating probabilities of attending a first event for each contact of the plurality of contacts based on the information in common and the additional information;

vi. providing an event recommendation based on the information in common and the additional information, wherein the recommendation is recalculated if one or more of the contacts declines;

vii. placing a reservation based on the event recommendation;

viii. suggesting products for purchase after attending a first event; and

ix. suggesting a second event based on a second event recommendation based on event information from the first event; and

b. a processor for processing the application.