KR102231562B1 - Operation method of a server for generating meeting information to collect the usage logs smartphone, create an event meeting, share and distribute - Google Patents

Abstract

The present invention relates to a method of operating a meeting information generation server for generating, sharing, and distributing meeting events by collecting usage logs of a smartphone, and more particularly, by collecting logs generated while using various applications of a smartphone. To create, share, and distribute meeting events by collecting smartphone usage logs to generate event data related to meetings of smartphone users and nearby acquaintances, and to generate and post or distribute meeting information through the generated event data. It relates to the operation method of the meeting information generation server.
The method of operating a meeting information generation server for generating, sharing, and distributing meeting events by collecting the usage log of the smart phone of the present invention includes the first step of receiving logs generated from one or more applications of the smart phone and the transmitted log. A second step of sorting chronologically according to each smartphone, classifying according to log type, and a third step of analyzing each classified log and extracting event information from the analyzed log, and the extracted event A fourth step of extracting predicted information of any one or more of a meeting place, a meeting time, or a participant from the information, and generating meeting information using the extracted expected information, and using the generated meeting information to the smart phone corresponding to the attendee It is technically meaningful to include the fifth step of distributing as a product.

Description

Operation method of a server for generating meeting information to collect the usage logs smartphone, create an event meeting, share and distribute }

The present invention relates to a method of operating a meeting information generation server for generating, sharing, and distributing meeting events by collecting usage logs of a smartphone, and more particularly, by collecting logs generated while using various applications of a smartphone. To create, share, and distribute meeting events by collecting smartphone usage logs to generate event data related to meetings of smartphone users and nearby acquaintances, and to generate and post or distribute meeting information through the generated event data. It relates to how to operate the meeting information generation server.

In the Internet community, users create and create blogs to share their daily lives. Blogs provide subjective descriptions of places visited by users, as well as various information.

Accordingly, blog is an abbreviation for weblog, which is a combination of web and log, and the method of operating personal homepages in the past has been greatly improved, making it easier to write posts with little effort. Became.

However, since a blog requires a user to directly edit images and write posts, a user who writes a large number of blogs or a user who has many meetings has a problem that it takes a lot of time to write a blog.

Accordingly, recently, it is possible to create a blog using a blog system that creates a blog as an operation.

In the prior art, Korean Patent Application Publication No. 10-2009-0000112 (2009.01.07),'a portable terminal with a blog function and its blog writing method', the user's moving route is identified and By receiving and storing location information from GPS satellites, and searching for location information and area information corresponding to the location information, a blog is created using the searched location name and area information.

In the prior art, according to a location-based event, it is determined that a specific event has occurred in a place where a user stays for a predetermined time or longer and writes a blog about it, but there is a problem that the information included in the blog is merely local information or geographical name information.

In addition, if the location information is not easily identified, there is a problem that a blog is not generated at all.

In addition, even if a blog is created based on location information, since the content of the blog must be created by the user, there is a problem in that the blog is created depending on the user's memory, so that the exact content cannot be included.

The present invention conceived to solve the problems of the prior art as described above, when using a smartphone, by collecting usage logs occurring in a number of applications, analyzing the collected usage logs and extracting meeting events, the extracted Its purpose is to generate meeting information using events.

In addition, the present invention extracts an event according to the use of a smartphone and uses it to generate a usage log for generating meeting information, including call logs, text messages (SMS & MMS), photo taking, schedule information, location information, e-mail, and messenger. , There are other purposes for extracting from SNS, etc.

In addition, the present invention recognizes that a meeting with nearby acquaintances has been performed according to the matching log by comparing the matching log with the use log of nearby acquaintances using the extracted usage log, and through this, There is another purpose.

In addition, the present invention generates meeting information by extracting meeting information using various usage logs of a smartphone, extracting the meeting place, time, meeting attendees, contents, etc., so that a blog, etc. can be created without any input from the user. There is another purpose to make it possible.

In addition, in the present invention, in generating meeting information by analyzing the usage log, when the final weight corresponds to the upper group by adding a weight to each usage log, the meeting information is automatically generated, and the final weight is the middle group In the case of, meeting information is generated when user approval is input, and when the final weight corresponds to a subgroup, there is another purpose of not generating meeting information.

In addition, another object of the present invention is to generate meeting information based on matching usage logs by integrating and analyzing the usage logs of one or more smartphones in which usage logs of one or more smartphones are transmitted to the server.

The above object of the present invention is a method of operating a meeting information generation server for generating, sharing, and distributing meeting events by collecting a usage log of a smart phone, the first step of receiving logs generated from one or more smart phone applications And a second step of sorting the transmitted logs chronologically according to each smartphone and classifying them according to the log type, and a third step of analyzing each of the classified logs and extracting event information from the analyzed logs. And a fourth step of extracting any one or more predicted information of a meeting place, a meeting time, or a participant from the extracted event information, and generating meeting information using the extracted predicted information, and sending the generated meeting information to the participant. It is achieved by a method of operating a meeting information generation server for generating, sharing, and distributing meeting events by collecting a usage log of a smart phone comprising the fifth step of distributing to the corresponding smart phone.

In order to solve the problems of the prior art as described above, the method of operating a meeting information generation server for collecting, sharing, and distributing meeting events by collecting the usage log of the smart phone is, in using a smart phone, in a number of applications. It is possible to automatically generate meeting information using the extracted event by collecting the usage log that occurs and extracting the meeting event by analyzing the collected usage log.

In addition, the present invention collects logs from call records, text messages (SMS & MMS), photo taking, schedule information, location information, email, messenger, SNS, etc. There is another effect that can generate meeting information without this.

In addition, the present invention recognizes that a meeting with nearby acquaintances has been performed according to the matching log by comparing the matching log with the use log of nearby acquaintances using the extracted usage log, and gathers the corresponding meeting created through this. There is another effect that you can share with your attendees.

In addition, the present invention generates meeting information by extracting meeting information using various usage logs of a smartphone, extracting the meeting place, time, meeting attendees, contents, etc., so that a blog, etc. can be created without any input from the user. There is another effect that can be.

In addition, in the present invention, in generating meeting information by analyzing the usage log, when the final weight corresponds to the upper group by adding a weight to each usage log, the meeting information is automatically generated, and the final weight is the middle group In the case of, meeting information is generated when the user's approval is entered, and meeting information is not generated when the final weight is a subgroup, another effect that can efficiently generate meeting information is achieved. have.

In addition, the present invention has another effect of self-analyzing a usage log of a smartphone through an application of a smartphone, generating meeting information according to the analyzed content, and sharing it with other users.

In addition, the present invention collects one or more smartphone usage logs from the server, analyzes the usage logs with the same identity and generates meeting information, so that meeting participants can be more easily extracted and thus more accurate meeting information can be generated. There is another effect that can be.

1 is a configuration diagram showing a meeting information generation server for generating meeting information according to the present invention;
2 is a flow chart showing a method for generating a meeting event in a meeting information generation server according to the present invention;
3 is a detailed flowchart showing a method of analyzing a log according to the first embodiment in the method for generating a meeting event of the present invention;
4 is a detailed flowchart showing a method of analyzing a log according to a second embodiment in the method for generating a meeting event of the present invention;
5 is an exemplary view showing the types of logs generated in an application of a smartphone according to an embodiment of the present invention;
6 is an exemplary diagram showing generation of meeting information based on location according to an embodiment of the present invention.

The terms or words used in the specification and claims should not be construed as being limited to their usual or dictionary meanings, and the inventor may appropriately define the concept of terms in order to describe his own invention in the best way. It should be interpreted as a meaning and concept consistent with the technical idea of the present invention based on the principle that there is.

Accordingly, the embodiments described in the present specification and the configurations shown in the drawings are only the most preferred embodiment of the present invention, and do not represent all the technical spirit of the present invention. It should be understood that there may be equivalents and variations.

Hereinafter, preferred embodiments of the present invention will be described in detail.

FIG. 1 is a configuration diagram showing a meeting information generation server for generating meeting information according to the present invention, and FIG. 2 is a flowchart illustrating a method for generating a meeting event in a meeting information generation server according to the present invention. 3 is a detailed flowchart showing a method of analyzing a log according to the first embodiment in the method for generating a meeting event of the present invention. FIG. 4 is a flowchart illustrating a method for analyzing a log according to the second embodiment in the method for generating a meeting event of the present invention. It is a detailed flow chart to show the method.

As shown in FIGS. 1 to 4, various applications (not shown) installed in the smartphone 100 may generate logs while executing various application programs, or may not generate separate logs. For the types of applications installed in the smartphone 100 and the types of logs that can be generated accordingly, refer to FIG. 4.

5 is an exemplary view showing the types of logs generated by an application of a smartphone according to an embodiment of the present invention. As shown in Figure 4, representative applications installed on the smartphone may include phone calls, SMS, cameras, schedule management, email, messenger, SNS, black box, navigation, etc., and other contacts, schedules, locations, videos Applications for the like can also be additionally included and used.

Therefore, when a phone call, which is a representative application of a smartphone, is performed, a log such as location or location, log collection time, call target, contact group, etc., is directly generated, or if not, the log is generated by a separate log generator 110. May be generated, and the SMS may generate a log such as a location or place, a log collection time, a meeting time, a target person, and a contact group.

In addition, the camera generates logs such as location or place, shooting time, etc., in schedule management, logs such as location or place, meeting time, and target person are generated or extracted from the contents, and in email, the location or place, meeting time, target person, etc. Logs such as contact groups can be created or extracted from the contents.

In this case, since GPS location information is included in a photograph or video taken by an application using a camera such as a camera or a black box, it is preferable to include the GPS location information in a log generated by the camera. Moreover, when analyzing multiple logs generated by the camera, logs of related locations can be grouped and analyzed according to the GPS location information included in the log, and if meeting information is generated through the log, the smartphone will take a picture. The resulting photo is transmitted to the meeting information generation server 200, and meeting information generated by the meeting information generation server 200 may include a photo taken by a camera.

In addition, in the messenger, logs such as location or place, log collection time, meeting time, target person, contact group, etc. may be generated or extracted, and in SNS, logs such as location or place, meeting time, target person, etc. may be generated or extracted.

At this time, when a log is generated in the application of the smartphone 100, the log generation unit 110 collects the generated log, and in the case of an application in which a separate log is not generated, the log generation unit 110 is used for the corresponding application. By judging that this is being executed, the necessary log can be generated.

For example, an application such as'telephone call' or'SMS' stores the time at which a phone call or SMS is received or sent, but the log generator 110 is used for the corresponding'telephone call' or'SMS' as necessary. It is possible to create a log of the location where the light is received or sent. The location log at this time is preferably generated by activating a GPS receiver (not shown) provided in the smartphone 100.

Accordingly, when one or more smartphones (100, 300) transmits the log generated or extracted by the log generation unit 110 to the meeting information generation server 200, the log collection unit 210 in the meeting information generation server 200 Collects the transmitted log (S110). In this case, it is preferable to collect logs generated by one or more applications shown in FIG. 5, but if necessary, an application is added in the smartphone 100 and a log is generated in the corresponding application or a separate log is generated. It can be created in the unit 110.

The log collection unit 210 in the meeting information generation server 200 sorts the collected logs chronologically according to the log generation time, and sorts and stores the logs sorted chronologically according to log groups (S120). At this time, the collected log is at least one of log creation time, log collection time, log collection number, target person, place, location, meeting time, and contact group, and is classified into each group and collected.

Thereafter, the meeting information generation unit 220 in the meeting information generation server 200 collects in the log collection unit 210, arranges them in chronological order, and analyzes the stored logs classified according to log groups for each log group (S130). ).

Analysis of the log may be performed as shown in FIG. 3 by extracting any one or more of log collection time, subject, place, location, meeting time, and contact group from the collected log.

That is, if it is determined that one or more of the locations or locations of the smartphone 100 to be analyzed among the logs classified in step S120 stay in the same place for more than the first threshold time, the location is extracted and set as a meeting candidate. Do (S131).

The first threshold time is a time set in advance by the meeting information generation server 200. For example, when a user stays at a specific location for 30 minutes or more, it may be determined that a meeting has occurred at the corresponding location. In this case, the first threshold time may be set to 30 minutes.

That is, when analyzing the location or location information included in each log arranged in chronological order, when a log that started to be generated at the same location or location is generated at the same location or location even after the first critical time, the location or location By judging that the meeting was held at the place, it is set as a candidate for the meeting.

Thereafter, when a candidate for a meeting is set using the log of the smartphone 100 to be analyzed, it is transmitted from another smartphone (300-1, 300-2, ..., 300-n, hereinafter referred to as 300). From the extracted logs, another smartphone 300 having a matching log is extracted by performing contact with the corresponding analysis target smartphone 100 within the second threshold time range, and the analysis target smart phone 300 among the extracted other smartphones 300 Any one or more logs of the location or location of the meeting candidate extracted from the log of the phone 100 and the other smart phone 300 matching within the critical radius are extracted (S132).

That is, when a meeting candidate is set among the logs of the analysis target smartphone 100, it is highly likely that at least one of the other smart phones 300 that made contact with the analysis target smartphone 100 attended the meeting. Another smartphone 300 that has been in contact with the analysis target smartphone 100 is extracted. However, it is also possible to extract all other smartphones 300 that have been in contact with the analysis target smartphone 100, but since the analysis range can be greatly expanded, the analysis target smartphone 100 is contacted within the second critical time range. The other smartphone 300 is extracted.

At this time, the second critical time is a time from the end of the first critical time to a predetermined time before as the analysis target smartphone 100 sets the meeting candidate according to the first critical time, and is analyzed within the second critical time. The target smartphone 100 and the other smartphone 300 that has made contact is extracted.

Accordingly, in step S133, when the analysis target smartphone 100 and the other smartphone 300, which were interconnected through contact within the second threshold time, are extracted, the meeting candidates and the meeting candidates among the extracted logs of the other smartphone 300 are extracted. The log located within the critical radius is extracted.

Thereafter, from the logs generated through various applications from the other smartphone 300 and transmitted to the meeting information generation server 200, a log generated at a location or place corresponding to the meeting candidate is extracted, and the log corresponding to the extracted log is extracted. Other smartphones are selected (S133).

Therefore, during the second critical time period, it communicates with the target smartphone 100 to be analyzed, extracts the other smartphone 300 that was co-located within the critical radius of the meeting candidate, and transmits it from the extracted corresponding smartphone 300 By analyzing the generated log, event information matching the meeting is extracted (S134).

Meanwhile, steps S132 to S134 may be performed in the reverse order as shown in FIG. 4 as needed. That is, when a meeting candidate is set in step S231, the first threshold time of extracting the meeting candidate from the logs generated by various applications from the other smartphone 300 and transmitted to the meeting information generation server 200 is deducted from the end time. 2 It extracts the log that was in contact with the analysis target smartphone 100 within the critical time range (S232).

That is, the second critical time is a time from the end of the first critical time to a predetermined time before, as the meeting candidate site is set according to the first critical time through log analysis of the smartphone 100 to be analyzed. Another smartphone 300 is extracted using a log of contacting the smartphone 100 to be analyzed within a critical time (S233).

That is, if a meeting candidate is set among the logs of the smartphone 100 to be analyzed, users of other smartphones who contacted within the second threshold time range prior to the meeting time are likely to attend the meeting together, so It is to extract the smartphone. At this time, it is also possible to extract all other smartphones 300 that have been in contact with the smartphone to be analyzed 100, but the scope of analysis may be greatly expanded, so that the smartphone to be analyzed 100 is contacted within the second critical time range. The other smartphone 300 is extracted.

Accordingly, in step S233, when the analysis target smartphone 100 and the other smartphone 300 that were interconnected through contact within the second threshold time are extracted, the extracted other smartphone 300 is located at the meeting candidate site. , Since the contact was made with the analysis target smartphone 100 before the time at which the meeting candidate is located, there is a high possibility that the participants are attending the meeting together.

Therefore, during the second critical time period, the analysis target smartphone 100 was in contact with each other, extracting the other smartphone 300 that was co-located within the critical radius of the meeting candidate, and transmitted from the extracted corresponding smartphone 300 By analyzing the log, event information matching the meeting is extracted (S234).

An embodiment from step S131 to step S133 may be described as follows using FIG. 6. 6 is an exemplary diagram showing generation of meeting information based on location according to an embodiment of the present invention. As shown in Figure 6, in the log of the analysis target smartphone 100 is transmitted to the meeting information generation server 200 and analyzed, the analysis target smartphone 100 is a plurality of When a contact is made, the meeting information generation unit 220 of the meeting information generation server 200 analyzes the log generated and transmitted according to the contact, and the analysis target smartphone 100 is placed at the location of the corresponding'Myeong-dong' at 7 pm. It can be confirmed that it stayed longer than the first threshold time at the time.

The meeting information generation unit 220 sets'Myeong-dong', which is a location or place that has stayed longer than the first critical time, as a meeting candidate, and sets a second critical time from 7:00 pm, which is the time when the analysis target smartphone 100 stays at the meeting candidate. Within the analysis target smart phone 100 and the other smart phone 300, which has been mutually contacted, etc., are extracted using the received log.

At this time, the extracted other smartphone 300 includes the smartphone 100 to be analyzed within the second threshold time, and other smartphones A and SMS, email, SNS, phone calls, etc., which performed applications such as SMS, phone calls, and photos. Another smartphone B that ran the application may be extracted.

However, while another smartphone A contacts the analysis target smartphone 100 within the second threshold time, the location of the log generated is near'Myeongdong', while the other smartphone B is the analysis target smart phone within the second threshold time. When the location of the log generated while making contact with the phone 100 appears as'Busan', the meeting information generation unit 220 is used for the user of the smartphone 100 to be analyzed and the user of the other smartphone A to be'Myeongdong'. It can be determined that the probability of meeting is high, but as it is determined that the user of the other smartphone B is located in'Busan', the user of the smartphone 100 to be analyzed and the user of the other smartphone B have a low probability of meeting each other. According to the determination, the log transmitted from the other smartphone A and the log transmitted from the analysis target smartphone 100 are analyzed to extract the expected meeting information.

Eventually, the meeting candidate location where the analysis target smartphone 100 was located and the other smartphone 300 located within the critical radius were extracted, and the expected meeting information through the logs transmitted from the smartphones 100 and 300 located within the critical radius. Is to extract.

Thereafter, a weight is assigned to each analyzed log according to the extracted event information (S135, S235). The weight classifies the analyzed logs into upper group, middle group, and lower group, respectively, and the total number of logs is greater than or equal to the threshold value, and any one or more of the meeting place, meeting time, or target audience is explicitly extracted from the analyzed log. If so, the weights are classified into the upper group.

In addition, if the total number of logs is greater than or equal to the threshold value and any one or more of the collection time, number of log collections, location, or contact group is extracted from the analyzed log, the weight is assigned to the median group, and each log is analyzed in log analysis. When the sum of the numbers is greater than or equal to the threshold, the weight is assigned to the subgroup.

Meanwhile, the weight assigned to each log is classified into an upper group, a middle group, or a lower group, and may be further classified into a detailed group of each group, if necessary.

In assigning a weight to the log in step S135, when the analyzed log matches the past meeting information stored in the meeting information generation server 200, the weight of the log is given as a higher group.

For example, among the logs that occurred on a specific day in the past, meeting information is generated by transmitting a log generated through communication with'acquaintance A'and'acquaintance B'through calls and SNS to the meeting information generation server 200 If so, the weight of the currently collected log is assigned to the upper group as the log that has been communicated with the current'acquaintance A'and'acquaintance B'through phone calls and SNS matches the log that created the past meeting information. .

The item that compares the match between the log that generated past meeting information and the currently collected log is an item that is more than a set number among items such as the threshold range of log creation time, target person, location, location, log group, or log contents, and If it is determined that more than the number of items are matched, the weight of the currently collected log is assigned to the upper group.

Thereafter, predicted meeting information such as a meeting place and a participant is extracted from each weighted log (S150). That is, a log corresponding to a specific meeting is extracted from the logs to which each weight is assigned, and meeting prediction information is extracted from the extracted log. The expected meeting information includes the location or location of the meeting, the meeting time, and the attendees, and each expected meeting information is extracted including the weight.

After extracting the expected meeting information to generate meeting information, the expected meeting information is classified into a matching probability group (S160). The matching probability group is classified into an upper group, a middle group, and a lower group, and a weighted average value of the extracted meeting prediction information is used as a classification criterion.

That is, after calculating the weighted average value of each log included in the meeting prediction information, when the weight is included in any one of an upper group, a middle group, or a lower group, the meeting prediction information is classified into a corresponding matching probability group.

At this time, if the matching probability group classified according to the weighted average value of each log included in the meeting prediction information is the upper group, the group information is generated using the extracted meeting prediction information, and the classified matching probability group is the median group. In this case, the extracted meeting prediction information is transmitted to and displayed on a smartphone, and as the meeting information generation server 200 receives an input signal input by the user through the smart phone, the meeting information is generated using the corresponding meeting prediction information.

In addition, when the classified matching probability group is a subgroup, the meeting prediction information is deleted and the meeting information is not generated. At this time, the deletion of the expected meeting information can be deleted immediately or stored and deleted after a certain period of time.

That is, if the matching probability group is the upper group, the probability of meeting is high because the meeting prediction information is composed of relatively accurate information, so the meeting information is immediately generated using the meeting prediction information, but if the matching probability group is the middle group Since the accuracy of the expected meeting information may be somewhat insufficient, meeting information is generated after receiving confirmation from the user whether meeting information is generated.

On the other hand, if the matching probability group is a subgroup, it is difficult to determine that the meeting has occurred through the meeting prediction information because it is determined that the accuracy of the meeting prediction information is insufficient. Therefore, the extracted meeting prediction information is not generated. It is desirable to delete it.

Therefore, according to each matching probability group, meeting information is immediately generated using the corresponding meeting prediction information, or meeting information is generated after the user's confirmation, or meeting information is not generated (S170).

According to step S170, the meeting information is immediately generated using the meeting expected information, or, if meeting information is generated after the user's confirmation, the meeting information is analyzed by the smartphone 100 to be analyzed and other smart devices determined to be participants in the meeting. It is distributed to the phone 300 (S180).

Alternatively, in step S180, the meeting information generation server 200 does not distribute the meeting information to the matching smartphones 100 and 300, and the meeting information generation server 200 directly corresponds to the generated meeting information, the user's application, SNS , Blogs, etc. can be posted directly.

On the other hand, when the meeting information generation server 200 directly posts the generated meeting information, it is preferable to post so that it can receive approval from each user to access applications, SNS, blogs, and the like.

The meeting information generated by the meeting information generation unit 220 of the meeting information generation server 200 is transmitted to the smartphones 100 and 300 of the users who have transmitted each related log, and to each smart phone 100 and 300 The provided meeting information management unit 140 receives the meeting information.

Meanwhile, the meeting information received from each of the smart phones 100 and 300 is posted through the meeting information management unit 140 provided in the corresponding smart phones 100 and 300 (S190).

The meeting information posting of the meeting information management unit 140 in step S190 generates meeting information in an application, SNS, blog, etc. of a smartphone, and is posted after receiving approval from the user to access the application, SNS, blog, etc. to post the meeting information. It is desirable to do it. Access authorization can be received from the user once the first time or each time each meeting information is posted.

Meanwhile, the meeting information generated in step S170 includes text, but may further include any one or more of a photo or a video if necessary. At this time, the included photo or video is determined that the photo or video was taken from the meeting information when the log of the photo or video was used for the generation of the meeting information among the logs collected to generate the meeting information. A photo or video may be requested through a smartphone that has transmitted the log, and any one or more of the photo or video received in response to the request may be included in the meeting information and posted. However, if any one or more of the photos or videos is not received from the smartphone, the meeting information is posted except for the photos or videos.

When a plurality of photos are posted, the photos included in the meeting can be displayed in the meeting information as they are arranged in a time series, and if necessary, a plurality of photos will be displayed in the form of motion pictures on one screen. I can.

In addition, when a log of a black box is included among logs collected to generate the corresponding meeting information, any one or more of a photo or video corresponding to the log may be transmitted from the black box and included in the meeting information posting. At this time, if any one or more of a photo or video is transmitted, the photo of the corresponding black box can be separately created as a drive course to the place included in the meeting information and included in the meeting information posting, and the photo is transmitted from the black box. In this case, it is desirable to display the corresponding picture in the form of a motion picture as well.

Meanwhile, any one or more of a photo or video included in the meeting information is shared with the participants included in the meeting information. That is, when meeting information is posted on an application, SNS, blog, etc., attendees can view any one or more of the photos or videos included in the meeting information, and if necessary, any of the photos or videos posted in the meeting information. You can download more than one.

Moreover, any one or more of the photos or videos may be any one or more of the photos or videos of the past meeting information stored in the meeting information generation server 200 according to a signal that the smartphone user selects and transmits to the meeting information generation server 200. Together with the album, it can be distributed on a smartphone or posted on a smartphone.

Any one or more of the photos or videos posted in the form of an album may be sorted by the shooting date, the shooting location, or any one or more of the attendees, and the shooting location, which is one of the sorting items, is a GPS location included in the photo or video, or a GPS location. It may be classified according to an administrative area determined using or a tourist destination determined using a GPS location.

For example, if'Gyeongbokgung' corresponding to the shooting location among meeting information posted in the past including the generated meeting information is set as the sorting item,'Gyeongbokgung' in any one or more of the photos or videos included in the meeting information You can extract photos or videos containing GPS locations corresponding to and distribute them to your smartphone or post them on your smartphone.

Or, when'Jeju Island' is set as the sorting item, a smartphone is extracted from the GPS location corresponding to'Jeju Island' from any one or more of the pictures or videos included in the meeting information or pictures or videos taken in Jeju Island, an administrative district. It can be distributed as or posted on a smartphone.

Meeting information includes profile information such as names, addresses, phone numbers, and emails of participants, and is set to be posted or provided to each participant. However, it is preferable that the posting or provision of the profile is performed according to the user's settings.

After the meeting information is generated and posted, when a phone call is received from any one of the participants of the meeting information, the meeting information with the participant who is the caller of the phone call is displayed on the smartphone screen.

The present invention has been shown and described with a preferred embodiment as described above, but is not limited to the above-described embodiment, and within the scope of the spirit of the present invention to those of ordinary skill in the art. Various changes and modifications will be possible.

100: smartphone 110: log generator
140: meeting information management unit 200: meeting information generation server
210: log collection unit 220: meeting information generation unit
300: external smartphone

Claims (18)

In the method of operating a meeting information generation server to create, share, and distribute meeting events by collecting usage logs of smartphones,
A first step of receiving a log generated from an application of one or more smartphones;
A second step of sorting the transmitted logs chronologically according to each smartphone and classifying them according to log types;
A third step of analyzing each classified log, extracting event information from the analyzed log, and applying a weight to the extracted event information;
A fourth step of extracting predicted information of at least one of a meeting place, a meeting time, or a participant from the extracted event information, and extracting the predicted information including a weight applied to the event information; And
A fifth step of generating meeting information using the extracted expected information, and distributing the generated meeting information to the smartphone corresponding to the participant,
In the fifth step, the predicted information is classified into any one of upper, middle, and lower probability groups based on the weight included in the predicted information, and if the probability group is an upper probability group as a result of the classification, the extracted The meeting information is automatically generated and distributed using expected information, and if the probability group is a median probability group, the meeting information is generated and distributed using the expected information according to an input signal of the user of the smartphone. If the probability group is a lower probability group, the predicted information is deleted and the meeting information is not generated, but the deletion of the predicted information includes a process of deleting the lower probability group after the determination or after a threshold period has elapsed. A method of operating a meeting information generation server to create, share, and distribute meeting events by collecting usage logs of smartphones, including.
The method of claim 1,
The third step
A 3-1 step of extracting a corresponding location when it is determined that at least one log of the location or location of the smartphone to be analyzed stays at the same location for more than a first threshold time from among the classified logs;
A 3-2 step of extracting another smartphone having a log matching a second threshold time within a predetermined range from a time when a log corresponding to the location extracted from the log of the smartphone to be analyzed is generated; And
3-3 process of extracting any one or more logs of the location or location matching within the critical radius with the location extracted from the log of the smartphone to be analyzed from the extracted other smartphone
A method of operating a meeting information generation server for generating, sharing, and distributing meeting events by collecting a usage log of a smartphone, characterized in that consisting of.
The method of claim 1,
The third step
A 3-1 step of extracting a corresponding location when it is determined that at least one log of the location or location of the smartphone to be analyzed stays at the same location for more than a first threshold time from among the classified logs;
A third for extracting any one or more logs from among the classified logs and matching locations or places within a critical radius with the location extracted from the log of the smartphone to be analyzed, and extracting another smartphone that generated the extracted log -2 course; And
A log matching a second threshold time within a predetermined range from the time when the log corresponding to the location extracted in the step 3-1 is generated among the logs transmitted by the other smartphone extracted in the step 3-2. 3-3 process of extracting
A method of operating a meeting information generation server for generating, sharing, and distributing meeting events by collecting a usage log of a smartphone, characterized in that consisting of.
The method according to any one of claims 2 or 3,
3-4 step of extracting event information matching a meeting from among logs transmitted from the other smartphone and the smartphone to be analyzed corresponding to the log extracted in step 3-3. How to operate a meeting information generation server to create, share, and distribute meeting events by collecting usage logs of smartphones.
delete The method of claim 1,
The application generates a meeting event by collecting a usage log of a smartphone, characterized in that at least one of a phone call, a text message, a camera, a calendar, a map, an email, a navigation system, a black box, a messenger, or an SNS (social networking service). How to operate a meeting information generation server for sharing, sharing, and distributing.
The method of claim 1,
The log is the operation of a meeting information generation server to generate, share, and distribute meeting events by collecting usage logs of a smartphone, characterized in that at least one of log creation time, target person, place, location, meeting time, or contact group Way.
The method of claim 4,
In the step 3-4, the matching is a mutual log generation time, a target person, among the log transmitted from the smartphone to be analyzed and the log transmitted from the other smartphone corresponding to the log extracted in the step 3-3. Meeting to create, share, and distribute meeting events by collecting the usage log of a smartphone, characterized in that event information is extracted from the matching log when any one or more of the place, location, meeting time, or contact group is matched How to operate the information generation server.
The method of claim 3,
The weight is given when the sum of the number of logs extracted in the step 3-3 is greater than or equal to a threshold value, characterized in that it generates meeting information for generating, sharing, and distributing meeting events by collecting usage logs of a smartphone, characterized in that How to operate the server.
The method of claim 9,
The weight is classified into an upper group, a middle group, and a lower group, and when any one or more of the analyzed place, meeting time, or target person is explicitly extracted from the log extracted in step 3-3, the weight is applied. If the log generation time, log collection number, location, or contact group analyzed from the log extracted in step 3-3 are matched and extracted, the weight is assigned to the middle group, and , When the sum of the number of logs extracted in step 3-3 is greater than or equal to the threshold value, the weight is assigned to a lower group. How to operate the meeting information generation server for.
The method of claim 10,
In assigning the weight, when the log matches the past meeting information stored in the server, the weight of the log is assigned to a higher group. How to operate the server for generating meeting information for distribution and distribution.
The method of claim 1,
The meeting information of the fifth step is a meeting for generating, sharing, and distributing meeting events by collecting a usage log of a smartphone, characterized in that it includes text, but further includes any one or more of a photo or a video How to operate the information generation server.
The method of claim 12,
Any one or more of the photos or videos may be selected from among the photographing date, location, or participant along with any one or more of the photos or videos of the past meeting information stored in the meeting information generation server according to a signal selected by the user to be input to the smartphone and transmitted. Arranged in the form of an album by any one or more and transmitted to the smartphone to be posted, the recording location is a GPS location, an administrative region, or a tourist destination, and collects the usage log of the smartphone to create and share a meeting event. How to operate the meeting information generation server for distribution.
The method of claim 1,
In the meeting information, profile information including any one or more of a name or phone number of a participant included in the meeting information can be posted on the meeting information or provided to another smartphone. How to operate a meeting information generation server to collect, create, share, and distribute meeting events
delete delete The method of claim 10,
For generating, sharing, and distributing meeting events by collecting usage logs of a smartphone, characterized in that at least one of the upper group, the middle group, or the lower group classifying the weight is classified into a plurality of detailed groups. How to operate the meeting information generation server.
The method of claim 1,
When the expected information extracted in the fourth step includes a log of a black box, any one or more of a photo or a video of the black box is included in the meeting information, and any one or more of a photo or video of the black box Is the meeting information for generating, sharing, and distributing meeting events by collecting the usage log of the smartphone, characterized in that the smartphone to be analyzed transmits a request signal as the meeting information generation server transmits a request signal to the smartphone to be analyzed. How to operate the generation server.

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