TWI536303B - Find the contact method and system for the person you want to contact with - Google Patents

Description

Finding methods and systems for contacting people by recommending contacts

The invention relates to a tracing method and a system; in particular, a method and system for finding a person to be contacted by a recommended contact person, integrating communication and scheduling data as a source, receiving and converting data through data The module collects relevant information of the contact object and integrates it into the data database, and then provides a recommended contact list and contact information through the recommended method of the data behavior model.

Using the GPS system to find the tracking device for people and vehicles in the pre-patent case (publication number: 201107777, publication date: 2011/03/01), the fixed environment tracing system and method using ultra-wideband technology in the patent case (publication number: 200536282, publication date: 2005/11/01), in the pre-patent case relative positioning type tracing method and its device (publication number: 200602660, publication date: 2006/01/16), currently applied for patents, are By positioning or special devices to find people by location, no patents have been based on the integration of communication materials and scheduling materials to find people. The invention allows the user to integrate the communication data and the scheduling data as a data source, and with the method and system model of the invention, the person to be found can be efficiently found.

In these predecessors, additional equipment is required to make it necessary. Users can contact. By means of a special device to find a person in a positional manner, the invention invents the integration of communication data and scheduling data as a data source, and after the analysis of the system, a third-party assisted tracing solution can be recommended, so that the user can efficiently You can find the objects you want to contact. These former cases use the location to find people. Although you know the location of the contact person, you can't contact the other party. You also need to find a way to reach the location. The invention can be accessed by a third party. A solution to assist people in finding people, so that users can find the objects to contact more efficiently.

It can be seen that there are still many shortcomings in the above-mentioned methods of use, which is not a good design, but needs to be improved.

In view of the shortcomings derived from the above-mentioned conventional methods, the inventor of the present invention has improved and innovated, and after years of painstaking research, he finally succeeded in researching and developing this invention.

The present invention proposes a method and system for searching for a person to be contacted by recommending a contact person, and establishing a behavior model by using related information such as a contact record, a calendar, a communication software, etc. of the contact object, and the system recommends through a behavior model. The module can give the recommended contact list and contact information, so that the user can effectively find the person who can contact the other party to meet the needs of the contact person. The training module is also provided to allow the user to feedback the recommendation result and adjust the behavior. The model recommends modules to make subsequent recommendations more effective.

The object of the present invention is to provide a recommended contact list when a user urgently needs to contact the other party but cannot contact the contact person, and the contact person or friend can be contacted according to the recommended order, and the contact person can be efficiently contacted. get in touch.

The present invention is a tracing system for finding a contact object by recommending a contact person, which at least includes a data receiving and converting module, a data database, a behavior model recommendation module, and a training learning module. The data receiving and converting module receives the user's data and converts the required format, the data database, receives and transmits the data, stores the contact communication data, the communication records, the travel information, the communication software status, and the use. Behavior model parameters, behavior model intermediate calculation scores and recommendation results; behavior model recommendation module, receiving data data and using behavior model parameters to establish corresponding recommendation modules, and intermediate operation scores and recommendation results will receive and transmit the data database, and The training learning module receives and transmits the data database and the behavior model recommendation module, and recommends module result analysis and adjustment model parameter values for the behavior model.

The data receiving and converting module transmits and receives the data of the user and returns the data data to the data database, and the data data inventory takes the data data and transmits the data to the behavior model recommendation module and the training learning Module.

The technical features provided by the present invention have the following advantages when compared with other conventional technologies:

1. When the contact object that the user wants to contact cannot be directly contacted, the present invention provides a method for collecting contact information from the data receiving and conversion module by integrating communication and scheduling data, and collecting the information into the data database. Subsequent recommendation methods of the data behavior model, giving the recommended contact list and contact information, allowing the user to contact the colleague or friend of the target object in the recommended order, and to feedback and adjust the recommendation mechanism through the training learning module to achieve effective and rapid Contact the contact person.

2. The invention provides a data receiving and converting module, which can receive the telephone number of the contact person. Related information such as materials, communication records, trip data, instant messaging software status, etc., and converted to the defined format required by the system.

3. The present invention provides a data database for storing, integrating, and updating information converted by the data receiving and conversion module, and providing the same to the behavior model recommendation module.

4. The present invention provides a behavior model recommendation module, which integrates and integrates contacts' contact records, trip data, instant messaging software status, etc. from the data database, and provides corresponding recommendation modules established by behavior model parameters. Recommended contact list.

5. The present invention provides a training learning module, and after the user feedbacks the result, adjusts the behavior model recommendation mechanism to make the subsequent recommendation more effective.

110‧‧‧Data receiving and conversion module

120‧‧‧Data Database

130‧‧‧ Behavioral Model Recommendation Module

140‧‧‧Teaching learning module

S210~S260‧‧‧ Process steps

310‧‧‧IM software recommendation module

320‧‧‧ calendar recommendation module

330‧‧‧Travel recommendation module

340‧‧‧Working recommendation module

350‧‧‧General recommendation module

S301~S303‧‧‧ Behavioral model recommendation module process steps

141‧‧‧Recommended results and parameter reading unit

142‧‧‧Evaluation and analysis unit

143‧‧‧Parameter adjustment unit

S311~S318‧‧‧Immediate communication software recommendation module process steps

S321~S326‧‧‧ calendar process steps recommended by the module

Process steps for S331~S336‧‧‧ travel recommendation module

S341~S348‧‧‧ Process steps for recommending the module to work

S351~S356‧‧‧General recommended module process steps

101‧‧‧Contact contact sample

102‧‧‧Examples of communication records

103‧‧‧ Example of itinerary

104‧‧‧ instant messaging software status data example

111‧‧‧Contact Information

112‧‧‧Communication records

113‧‧‧Travel information

114‧‧‧IM software status data

121‧‧‧Database data examples

11‧‧‧IM communication contact information

12‧‧‧Mobile phone contact information

13‧‧‧APP contact information

14‧‧‧Email Contact Phone Information

15‧‧‧Manual input of contact telephone information

21‧‧‧IM communication link record

22‧‧‧Mobile Communications Record

23‧‧‧APP Link Record

24‧‧‧Email communication record

31‧‧‧ calendar information

32‧‧‧Dimensional System Information

3‧‧‧Users

S201~S207‧‧‧ Process steps of the embodiment

Please refer to the detailed description of the present invention and the accompanying drawings, and the technical contents of the present invention and its effects can be further understood; the related drawings are:

FIG. 1 is a schematic diagram of a tracing system for finding a contact person by a recommended contact person according to the present invention.

Figure 2 is a flow chart of the method for searching for a person to be contacted by a recommended contact person according to the present invention.

FIG. 3A is a schematic diagram of a behavior model recommendation module of the present invention for finding a person-seeking method and system by a recommended contact person.

FIG. 3B is a flow chart of the behavior model recommendation module of the present invention for finding a person to be contacted by a recommended contact person and a system.

Figure 4 is a tracing system of the present invention for finding a contact person by referring to a contact person Schematic diagram of the unified training module.

Figure 5 is a flow chart of the instant messaging software recommendation module of the present invention for finding a person to be contacted by a recommended contact person.

Figure 6 is a flow chart of the calendar recommendation module of the present invention for finding a person to be contacted by a recommended contact person.

Figure 7 is a flow chart of the travel recommendation module of the present invention for finding a person to be contacted by a recommended contact person.

Figure 8 is a flow chart of the above-mentioned recommendation module of the above-mentioned method for finding the person to be contacted by the recommended contact person by the recommended contact person.

Figure 9 is a flow chart of the general recommendation module of the present invention for finding a method of searching for a contact object by a recommended contact person.

Figure 10 is a schematic diagram showing the data input of the tracing system of the present invention by the recommended contact person to find the object to be contacted.

Figure 11 is a schematic diagram of the contact information of the tracing system of the present invention by the recommended contact person to find the contact person.

Figure 12 is a schematic diagram of the contact information of the contact person of the tracing system of the present invention by the recommended contact person.

Figure 13 is a schematic diagram of the travel information of the tracing system of the present invention by the recommended contact person to find the contact person.

Figure 14 is a schematic diagram of the tuning learning module of the tracing system of the present invention by the recommended contact person to find the contact person.

Figure 15A is a diagram showing an embodiment of a tracing system and method for finding a contact object by a recommended contact person according to the present invention.

15B is a flow chart of an embodiment of a tracing system and method for finding a contact object by a recommended contact person according to the present invention.

The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It is understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

Hereinafter, the present invention will be further described with reference to the accompanying drawings:

Please refer to FIG. 1. FIG. 1 is a schematic diagram of a tracing system for finding a contact object by a recommended contact person according to the present invention. As shown in FIG. 1, the data receiving and converting module 110, the data database 120, the behavior model recommendation module 130, and the training learning module 140 are included. Please refer to FIG. 10, which is a schematic diagram of data input of a tracing system for finding a contact object by a recommended contact person according to the present invention. As shown in FIG. 10, the data receiving and converting module 110 can receive the contact telephone data 111, the communication record data 112, the itinerary data 113, and the instant messaging software status data 114, and convert the required format to the data repository 120. . The data repository 120 can store contact communication data, various communication records, itinerary data, communication software status, usage behavior model parameters, behavior model intermediate operation scores, and recommendation results. The behavior model recommendation module 130 can take contact information, various communication records, itinerary information, and the state of the instant messaging software. The data is used together with the behavior model parameters to establish a corresponding recommendation module, and the intermediate operation scores and recommendation results are stored in the data repository 120. The training learning module 140 can recommend module result analysis for the behavior model and adjust the model parameter values for the results.

Please refer to FIG. 2, which is a flow chart of the method for searching for a person to be contacted by a recommended contact person according to the present invention. As shown in Figure 2, the process of the method can include:

S210 Enter the contact person, communication record, itinerary, instant messaging software status data.

S220 then saves the data conversion format to the database.

After S230, new, modified contacts, communication records, itineraries, and instant messaging software status data are executed according to the frequency set by each data source.

S220 then saves the new data conversion format to the database.

S240. When the user has a requirement to execute, the behavior model recommendation module recommends the list.

The S250 user gives back the recommendation results.

S260 finally analyzes and adjusts the learning response to the user.

As shown in FIG. 1 , in S210, the original data is transmitted to the data receiving and converting module 110, and in S220, the data receiving and converting module 110 converts the data to the data database 120, and S230 is updated data. S240 uses the behavior model recommendation module 130 to recommend the list, S250 stores the user feedback result to the data repository 120, and S260 uses the tuning learning module 140.

Please refer to Figures 3A and 3B. Figure 3A is a diagram of the present invention. A schematic diagram of the behavioral model recommendation module of the tracing method and system to be contacted by the recommended contact person. FIG. 3B is a flow chart of the behavior model recommendation module of the present invention for finding a person to be contacted by a recommended contact person and a system. As shown in FIG. 3A and FIG. 3B, wherein the step may include:

S301: The behavior model recommendation module 130 first determines whether the instant messaging software status of the object to be found is online: if it is online, the instant messaging software recommendation module 310 is first, and then goes down to the online status flow process; S302 if not On the line, it is judged whether the calendar has a itinerary: if there is a trip, it first goes to the calendar recommendation module 320.

S303 goes down to no travel process; if there is no travel, check the status of the service system: if the status is a business trip, go to the travel recommendation module 330, and then go down to the status of the work process; if the status is work, go to work recommendation module 340, then end the recommendation process; if the status is off work, go to the general recommendation module 350 to end the recommendation process.

The recommended contacts obtained according to the process are in the order of recommendation, the first contact is the first recommendation, and so on. Among them, the contact person does not repeat the recommendation, and the priority is given in the previous order. If the contact person obtained later has been obtained before, it is skipped. For example, suppose that the instant messaging software status of the object you are looking for is online, there is no calendar travel, and the status of the shift is working.

In actual operation, according to the module flow, S301 first determines whether the instant messaging software status is online, and the contact person obtained from the instant messaging software recommendation module 310 is online (1) Cheng Qingqing 0937123***(2) Li Daren 0933456 *** (3) Xie Anzhen 0952455 ***, then S302 determines whether the calendar has a trip, because there is no itinerary, continue to S303 to check the status of the system, the status of the shift is to work, so from the recommendation module 340 The contact person obtained is (1) Zhu Xiaoqi 0982867*** (2) Li Daren 0933456*** (3) Liang Bobi 0917271*** (4) Huang Feihong 0929100*** (5) Xie Anzhen 0952455*** (6) Lin Zhiying 0910110*** However, because Li Daren and Xie Anzhen have already obtained the previous instant messaging software recommendation module 310, they have skipped the list. The final list and information recommended by this module is: The contact you are looking for is Microsoft Lync. List of recommended contacts for contact (1) Cheng Youqing 0937123*** (2) Li Daren 0933456*** (3) Xie Anzhen 0952455*** (4) Zhu Xiaoqi 0982867*** (5) Liang Bobi 09172271*** (6) Huang Feihong 0929100*** (7) Lin Zhiying 0910110***.

Please refer to FIG. 4, which is a schematic diagram of the tuning learning module of the tracing system for finding a contact person by the recommended contact person according to the present invention. As shown in FIG. 4, the training learning module 140 further includes a recommendation result and parameter reading unit 141, an evaluation analyzing unit 142, and a parameter adjusting unit 143. The recommendation result and parameter reading unit 141 can read the behavior model recommendation module result and the behavior model parameter values. The evaluation analysis unit 142 can analyze the recommendation results. The parameter adjustment unit 143 can adjust the parameters of the behavior model for the analysis result.

Please refer to FIG. 3A, FIG. 3B and FIG. 5 . FIG. 5 is a flow chart of the instant messaging software recommendation module of the present invention for finding a person to be contacted by a recommended contact person. As shown in FIG. 3A, FIG. 3B, and FIG. 5, the steps may include:

S311 The instant messaging software recommendation module 310 first determines whether the instant messaging software to be contacted has a contact person: S312 If yes, continue to determine that at least one of the contacts has contact information; if not, the process ends. Judging at least one of all contacts When a contact person has contact information: S313 If yes, continue to judge that at least one contact is online and the contact has contact information; S316 otherwise determines whether there is at least one contact on the line. If there is at least one contact with the status of the online contact and the contact person has the contact information: S314 If yes, obtain the contact information of the last contact with the status of the contact information, and get a1 person at most, and end the process; S315 Then, the last contact contact information with contact information is obtained, and up to a2 people are obtained, and the process is terminated.

S316: If there is at least one contact on the line: S317 If yes, the status is the last contact display name and account number on the line, and the maximum number of a3 persons is obtained, and the process is ended; if not, the contact person who obtains the last contact is obtained. Display the name and account number, up to a4 people, and end this process.

In this embodiment, it is assumed that the object to be found has an instant messaging software contact and there are many contact information, but the contact status of all contact information is not online. According to the module process, S311 first determines whether the instant messaging software of the object to be found has a contact person. S312 continues to judge that at least one of the contacts has contact information, and because there are multiple contacts, the contact information is available. Continue to judge that at least one of the statuses of S313 is an online contact person and the contact person has contact information. Since the contact status of the contact information is not online, S315 goes to the last contact contact information flow with the contact information. The final contact person is in order (1) Cheng Qingqing 0937123*** (2) Li Daren 0933456***(3) Xie Anzhen 0952455***. .

Please refer to FIG. 6. FIG. 6 is a flow chart of the calendar recommendation module of the present invention for finding a person to be contacted by a recommended contact person. As shown in FIG. 6, the executable steps of the calendar recommendation module 320 include:

S321 First check if there is a trip today.

S322 If yes, determine if there is a label with whom to go; if not, end the process: S323 Determines if S322 has a label with whom, if any, if there is a peer contact information.

S325 If not, get today's itinerary and end this process.

S324 When judging whether there is a contact information of the colleague S323: If yes, obtain the contact information of the companion, and obtain a maximum of a5 people, and end this process.

S326 If not, whoever I am going with today, end this process.

In the embodiment, it is assumed that the object to be found has a business trip to the head office today, but the calendar does not indicate who to walk with. According to the module process, S321 first checks whether the object to be found has a trip today. If there is a trip, it continues to S322 to determine whether there is a label with whom, because there is no label with whom, so S325 obtains today's itinerary, obtains information as The contact person traveled to the head office today for a business trip.

Please refer to FIG. 7. FIG. 7 is a flow chart of the travel recommendation module of the present invention for finding a person to be contacted by a recommended contact person. As shown in FIG. 7, the process steps of the travel recommendation module 330 may include:

S331 First check if there is a business trip or visit customer in the record.

S333 If yes, determine if there is a contact information for a business trip.

S332 If not, check if the email communication record has contact information for a business trip colleague or customer. S332 Check if the email communication record has contact information of a business trip colleague or customer: If yes, determine if there is a travel contact information S333, if not, end the process. S334 determines whether there is a contact information for a business trip partner: if there is a travel contact information S334, and at most a6 people, the remaining process is still executed.

S335 If not, determine if there is any customer contact information. When judging whether there is a customer contact information S335: S336 If yes, visit the customer contact information, and get up to a7 people to complete the process; if not, end the process.

In this embodiment, it is assumed that the object record to be searched for is not recorded with a traveling colleague or a visiting client, but in the email communication record, there is a record of a business trip colleague for Zhu Xiaoqi and a record visiting customer for Liang Bobi 09172271*** And the database has Zhu Xiaoqi contact information for 0982867***. According to the module process, S331 first checks whether there is a traveling coworker or visiting customer in the difference log, and finds that there is no travel coworker and customer information recorded in the distress record, then go to S332 to check whether the e-mail contact record has a business trip colleague or The customer's contact information found that there was a business trip colleague for Zhu Xiaoqi and a record visit customer for Liang Bobi 09172271***, then S333 judged whether there was a contact information for a business trip, check the database and found that Zhu Xiaoqi contact information is 0982867*** Get the contact information of Zhu Xiaoqi, and then S335 to determine whether there is any contact information for the customer. Because there is customer information, the information obtained by Liang Bobi 0917271*** is obtained. (1) Zhu Xiaoqi 0982867*** (2) Liang Bobby 09172721***.

Please refer to FIG. 8. FIG. 8 is a flow chart of the above-mentioned recommendation module of the above-mentioned method for finding the person to be contacted by the recommended contact person by the recommended contact person. As number 8 As shown in the figure, the process steps of the work recommendation module 340 may include:

S341 Check if the communication record is in contact with others within 1 minute: S342 If yes, continue to judge whether there is contact information of the person concerned; S345 If not, skip to the process of obtaining the contact information of the most frequent contact colleagues. S342: If there is contact person contact information: S343 If yes, obtain contact information for the contact person, up to a8 person; S344 If not, then contact with whom; if there is no contact person contact information, go to the next process.

S345 Then, get the contact information of the most frequently contacted colleagues, get up to a9 people, S346 and get the contact information of the upper level, get up to a10 people, S347 and then get the last call contact information, get up to a11 people, S348 finally get the most Frequent contact person contact information, up to a12 people.

In this embodiment, it is assumed that the object communication record to be found is not in contact with others today. According to this module process, S341 first checks whether there is any contact with other people within 1 minute of the communication record. Because the objects you are looking for are not in contact with others, S345 has obtained the contact information of the most frequent contacts in the past: (1) Cheng Youqing 0937123 *** (2) Zhu Xiaoqi 0982867***, S346 then go to the next level of supervisor contact information: Li Daren 0933456***, S347 and then get the last call contact information: (1) Liang Bobi 0917271*** (2) Huang Feihong 0929100***, S348 then obtain the contact information of the most frequent contacts: (1) Xie Anzhen 0952455*** (2) Lin Zhiying 0910110***, the last contact and information of this module For (1) Zhu Xiaoqi 0982867*** (2) Li Daren 0933456*** (3) Liang Bobi 0917271*** (4) Huang Feihong 0929100*** (5) Xie Anzhen 0952455*** (6) Lin Zhiying 0910110***.

Please refer to FIG. 8 and FIG. 9. FIG. 9 is a flow chart of the general recommendation module of the present invention for finding a method of searching for a contact object by a recommended contact person. As shown in FIG. 8 and FIG. 9 , the process steps of the general recommendation module 350 may include:

S351 First check the communication record for contact with others within 2 minutes: S352 If yes, judge whether there is contact person contact information; S355 If not, skip to the process of obtaining the last call contact information. S352: If there is contact person contact information: S353 If yes, get contact information of the contact person, up to a13 person; S354 If no, then contact with whom; if there is no contact person contact information, go to the next process.

S355 Next, obtain the last contact information of the telephone contact, and get up to a14 people. S356 will get the contact information of the most frequent contacts, and up to a15 people will be obtained. This module flow is similar to the work recommendation module 340 and will not be exemplified.

Among them, the parameters a1~a15, n1 and n2 described above can be set by themselves, or the upper limit of the number of people can be set. In the above mentioned, the most frequently contacted contact information is obtained in S345, the most frequently contacted contact information is obtained in S348 or the most frequently contacted contact information is obtained in S356. The most common contact is calculated by the following formula:

Calculate the contact coefficient with each contact. The higher the coefficient, the more frequently you communicate, and the highest indicates the most frequent contact.

Ski=Wi×Xki (Equation 1)

Tk=ΣSki (Equation 2)

Ski: the communication coefficient of the kth person's communication method i

Wi: Communication method i weight

Xki: The communication method of the kth person i communication times

Tk: total contact coefficient of the kth person

Assume the default value:

Voice communication weight presets are 10

Mobile phone newsletter weight is preset to 2

Other message class weight presets are 0.5

In S345, I got the most frequently contacted colleagues. I checked the contact list of the contact person and assumed that there are 3 contact colleagues in total: the first contact Cheng Qingqing, the mobile phone contact 5 times, the instant messaging software message 20 times, the hand briefing newsletter 5 times , Cheng Chengqing has a contact coefficient of 70, including (1) mobile phone contact coefficient 10*5 (2) instant messaging software message contact coefficient 0.5*20 (3) hand brief message contact coefficient 2*5; second contact Xie Anzhen, Instant messaging software voice 1 time, instant messaging software message 30 times, Xie Anzhen contact coefficient is 25, including (1) instant messaging software voice coefficient 10 * 1 (2) instant messaging software message contact coefficient 0.5 * 30; third Contact person Zhu Xiaoqi, App voice 1 time, instant messaging software message 80 times, email communication record 10 times, then Zhu Xiaoqi contact coefficient is 55, including (1) App voice contact coefficient 10*1 (1) instant messaging software message contact coefficient 0.5 *80(2) Email message contact coefficient 0.5*10; Assume that a9 is 2 in S345, and the most frequently contacted colleagues according to the result of the size of the contact coefficient are: (1) Cheng Youqing 0937123*** (2) Zhu Xiaoqi 0982867***.

In the above formula 1, the weight value is limited: one hour interval, Max (Ski) ≦ Max (Wi) (Equation 3) The k-th person's various communication methods in the one-hour interval i. The maximum value of the contact coefficient Ski cannot exceed the maximum weight of all communication methods. In the value of Wi hour, it means that the first time of the communication method is one hour later.

In this embodiment, it is assumed that the time to contact the object and Zhu Xiaoqi's first instant messaging software message is 9:10, although the contact information and the Zhu Xiaoqi instant messaging software message between the 9:10 and 10:10 are up to 50 times, but During this time, the instant messaging software coefficient can only be counted as 10, because the maximum weight of all communication methods is voice communication, and the voice communication weight is 10.

Please refer to FIG. 10, which is a schematic diagram of data input of a tracing system for finding a contact object by a recommended contact person according to the present invention. As shown in FIG. 10, the data receiving and converting module 110 can receive the contact telephone data 111, the communication record data 112, the itinerary data 113, and the instant messaging software status data 114, and convert the data into the data format library 120. The illustration includes a contact telephone data sample 101, a communication record data example 102, a trip data example 103, and an instant messaging software status data example 104.

Please refer to FIG. 11. FIG. 11 is a schematic diagram of the contact information of the tracing system of the present invention by the recommended contact person. As shown in Figure 11, the contact information of the contact person 111 may include instant messaging software contact telephone information 11, mobile phone contact information 12, APP contact telephone information 13, email contact telephone information 14, and manual input contact. Telephone information 15.

Please refer to FIG. 12, which is a schematic diagram of the contact information of the tracing system of the present invention by the recommended contact person. As shown in FIG. 12, the source of the communication record 112 may include an instant messaging software connection record 21, a mobile phone communication record 22, an APP communication record 23, and an email communication record 24. The instant messaging software communication record 21 includes an IM and a call record; wherein the mobile phone communication record 22 includes a short message and a telephone communication record; wherein the APP communication record 23 includes IM, voice, and video communication records.

Please refer to FIG. 13, which is a schematic diagram of the travel information of the tracing system of the present invention by the recommended contact person. As shown in FIG. 13, the source of the trip information 113 may include calendar data 31 and the weather system data 32. The calendar data 31 includes the company calendar and the external calendar; wherein the system data 32 includes the commute time, the travel time, and the business trip.

Please refer to FIG. 8 , FIG. 9 and FIG. 14 . FIG. 14 is a schematic diagram of the tuning learning module of the tracing system of the present invention by the recommended contact person. As shown in FIG. 8 , FIG. 9 and FIG. 14 , the training learning module 140 first retrieves the result of the user feedback, the previous recommendation result and the model parameter from the data database by the recommendation result and parameter reading unit 141 . The 120 is taken out, and then the data is evaluated via the evaluation analysis unit 142 to determine whether parameter adjustment is required. The evaluation analysis unit 142 determines that if the person found by the last user feedback is recommended by S345, S348 or S356, analyzes and analyzes whether the maximum value of the Tk of the person is the second largest value of Ski. More than double, if yes, perform parameter adjustment, if not, no adjustment is needed. If parameter adjustment is to be made, the parameter adjustment unit 143 is responsible for adding 0.1 to the Wi weight of the maximum Ski value and storing the adjustment result back to the data repository 120.

In this embodiment, it is assumed that the user feedback is finally contacted by Zhu Xiaoqi to contact the object to be contacted. Then, the communication coefficient of all communication methods of Zhu Xiaoqi is analyzed. The maximum contact coefficient is the instant messaging software message contact coefficient, and the value is 40. The second contact factor is the App voice contact coefficient, which is 10, because Zhu Xiaoqi's instant messaging software message contact coefficient value is more than 3 times the App voice contact coefficient value, so the instant messaging software message weight is increased by 0.1, and the instant messaging software message weight is It becomes 0.6. .

Please refer to FIG. 15A and FIG. 15B. FIG. 15A is a diagram showing an embodiment of a tracing system and method for finding a contact object by a recommended contact person according to the present invention. 15B is a flow chart of an embodiment of a tracing system and method for finding a contact object by a recommended contact person according to the present invention. As shown in FIG. 15A and FIG. 15B, when the user 3 requests the recommended contact person to search for a person, the behavior model recommendation module 130 obtains the relevant data and parameter values from the data database 120, and the behavior model recommendation module 130 calculates. After the analysis, the contact person is sent back to the user, and the user finds the contact object to feedback the result, and the behavior model recommendation module 130 saves the user feedback result to the data database 120, and the training learning module 140 The data database 120 reads the data, the parameters and the user feedback result, and the training learning module 140 analyzes whether the result needs to be adjusted. If the parameter needs to be adjusted, the adjustment result is saved back to the data database 120.

The process steps in this embodiment may include:

The S201 user requests the contact person to search for a person through the behavior model recommendation module 130.

S202 obtains related data and parameter values according to the data database 120.

S203 The data database 120 transmits the recommended contact back to the user 3 through the behavior model recommendation module 130.

S204 The user 3 returns the feedback result to the behavior model recommendation module 130.

S205 The behavior model recommendation module 130 stores the feedback result of the user 3 in the data repository 120.

The S206 training learning module 140 reads data, parameters, and user feedback results.

S207 If the adjustment training module 140 is adjusted, the adjustment result is returned to the data database 120.

The method for searching for a person to find a contact person by the recommended contact person and the system can provide a recommended contact list and contact information through the behavior model recommendation module, and periodically update and adjust the feedback result through the tuning teaching module to allow the user to It can effectively find the person who can contact the other party to meet the needs of the contact person. It also provides the training module, allowing the user to feedback the recommendation result and adjust the behavior model recommendation module to make the follow-up recommendation more effective.

The detailed description of the present invention is intended to be illustrative of a preferred embodiment of the invention, and is not intended to limit the scope of the invention. The patent scope of this case.

To sum up, this case is not only innovative in terms of technical thinking, but also has many of the above-mentioned functions that are not in the traditional methods of the past. It has fully complied with the statutory invention patent requirements of novelty and progressiveness, and applied for it according to law. Approved this invention patent application, in order to invent invention, to the sense of virtue.

S210~S260‧‧‧ Process steps

Claims (12)

A tracing system for finding a contact object by recommending a contact person, comprising at least: a data receiving and converting module, receiving data data of the user and converting the required format; and a data database receiving and transmitting the data data, Storing contact communication data, various communication records, itinerary data, communication software status, usage behavior model parameters, behavior model intermediate calculation scores and recommendation results; a behavior model recommendation module, receiving data data and using behavior model parameters to establish corresponding The module is recommended, and the intermediate operation score and the recommendation result are received and transmitted; and a training learning module receives and transmits the data database and the behavior model recommendation module, and recommends the module result analysis for the behavior model. Adjusting the model parameter value; wherein the data receiving and converting module transmits the data data of the receiving user and returns the data data to the data database, wherein the data data inventory takes the data data and transmits the data to the behavior model recommendation mode And the training module; wherein the training module further includes A recommendation result parameter reading unit that reads the parameters of the behavioral model and behavior model recommendation module results; analyzing an evaluation unit, which receives the recommendation result parameter read parameter recommendation result of the analysis unit; and A parameter adjustment unit receives the recommendation result analysis and adjusts the parameters of the behavior model, and returns the adjustment result to the data database. The search system for finding the contact person by the recommended contact person as described in the first application of the patent scope, wherein the data of the data receiving and conversion module is contact information, travel record information, itinerary information or instant Communication software status data. For example, the referral contact person finds the tracing system to be contacted by the contact person as described in item 2 of the patent application scope, wherein the contact person contact information is the instant messaging software contact person telephone data, the mobile device contact person telephone information, and the APP contact person. Telephone information, email contact information or manual entry of contact information. The search system for finding a contact person by the recommended contact person as described in item 2 of the patent application scope, wherein the communication record data is an instant messaging software communication record, a mobile device communication record, an APP communication record or an email communication record. As described in the second paragraph of the patent application, the referee is found by the recommended contact person, and the travel information is the calendar data or the service system data. As described in claim 1, the recommended contact person finds the tracing system to be contacted by the contact person, wherein the behavior model recommendation module further includes a connected instant messaging software recommendation module, a calendar recommendation module, and a business trip. Recommended modules, work recommendation modules and general recommendation modules. A method for searching for a person to whom a contact person is to be contacted by recommending a contact, the steps of which at least include: A. The behavior model recommendation module receives the user's request to recommend the contact person to find the person; B. The behavior model recommendation module obtains the relevant data and parameter values according to the data database for analysis; C. The data database is recommended through the behavior model The module will return the recommended contact to the user; D. the user returns the feedback result to the behavior model recommendation module; E. the behavior model recommendation module stores the feedback result of the user into the data database; The training learning module reads the data, parameters and user feedback results; and G. If necessary, adjust the adjustment learning module to transfer the adjustment result back to the data database. Wherein, the authority value is calculated by the parameter, and the larger the authority value is the most common contact, and the calculation formula of the parameter is: Ski=Wi×Xki (Formula 1) Tk=Σ Ski (Formula 2) Ski : Communication factor i of the kth person's communication method Wi: Communication method i weight Xki: Communication method of the kth person i Communication number Tk: Total contact coefficient of the kth person. The method for recommending a module to be contacted by the recommended contact person as described in claim 7 of the patent application scope, wherein the step of the behavior model recommendation module further includes: A. Determine whether the instant messaging software status is online. If yes, query the recent contact information. If not, check whether the calendar has a itinerary. B. Determine whether the calendar has a itinerary. If yes, query the current itinerary of the calendar recommendation module. If not, then continue to check the status of the service system; C. Determine whether the status of the service system is out of business, if yes, query the recommender information of the travel recommendation module, D. If no, further determine whether it is the working time, if yes, according to work The recommended module looks for a recommender, and if not, it looks for a recommended contact based on the general recommendation module. The method for finding a person to be contacted by the recommended contact person as described in claim 8 of the patent application scope, wherein the step of the instant messaging software state further comprises: A. the instant messaging software recommendation module first determines the object to be found Whether the instant messaging software has a contact person; B. If yes, continue to judge that at least one of the contacts has contact information; if not, terminate the process and determine that at least one of the contacts has contact information; C. If yes, continue to determine that at least one contact is online and the contact has contact information; if not, determine if there is at least one contact on the line; D. determine that at least one contact is online And if the contact person has the contact information; if yes, the contact information of the last contact with the contact information is completed, and the process is terminated; if not, the last contact contact information with the contact information is obtained, and the process is terminated; as well as E. Determine whether at least one of the statuses is an online contact; if yes, the status is the last contact display name and account number on the line, and the process ends; if not, the contact name and account number of the last contact are obtained. The method for finding a person to be contacted by the recommended contact person as described in item 8 of the patent application scope, wherein the step of the status of the system of the duty system further comprises: A. first checking whether there is a traveling business colleague or visiting in the time record Customer; if yes, judge whether there is a contact information for a business trip; B. If no, check whether the email communication record has contact information of a business trip colleague or customer; check if the email communication record has contact information of a business trip colleague or customer If yes, determine whether there is a contact information for a business trip; C. If no, end the process; D. Determine whether there is a contact information for a business trip: if yes, obtain contact information for the business trip, if not, follow the following procedures; E. If no, judge whether there is any customer contact information; and F. If yes, obtain the customer contact information; otherwise, terminate the process. The method for finding a person to be contacted by the recommended contact person as described in claim 8 of the patent application scope, wherein the step of recommending the module to work includes: A. first checking whether the communication record is in contact with others in the near future; If yes, continue to determine whether there is a contact person's contact information; if not, skip to the process of obtaining the contact information of the most frequently contacted colleagues; B. Determine whether there is a contact person to contact the information; if yes, obtain contact contact information; No, get contact with whom; whether or not to continue the following flow Cheng; C. Next, obtain the contact information of the most frequently contacted colleagues, and then obtain the contact information of the supervisor in the previous level; and D. Obtain the contact information of the last telephone contact person and the contact information of the most frequent contacts. The method for finding a person to be contacted by the recommended contact person as described in claim 7 of the patent application scope, wherein the weight value limit is a one-time interval, and the calculation formula is Max(Ski)≦Max(Wi) (formula 3).