CN114691977A - Activity information recommendation method, device, storage medium and apparatus - Google Patents

Activity information recommendation method, device, storage medium and apparatus Download PDF

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CN114691977A
CN114691977A CN202011643501.3A CN202011643501A CN114691977A CN 114691977 A CN114691977 A CN 114691977A CN 202011643501 A CN202011643501 A CN 202011643501A CN 114691977 A CN114691977 A CN 114691977A
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information
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林安轩
张绍瑞
刘庆军
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Beijing Hongxiang Technical Service Co Ltd
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    • G06Q10/109—Time management, e.g. calendars, reminders, meetings or time accounting
    • G06Q10/1093—Calendar-based scheduling for persons or groups

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Abstract

The invention discloses an activity information recommendation method, equipment, a storage medium and a device, wherein the method comprises the following steps: extracting the activity entry information, obtaining the starting positions and the starting times of a plurality of entry users, determining a user center area according to the starting positions, determining a recommended activity field according to the user center area, determining recommended activity time according to the starting times, and generating recommended activity information according to the recommended activity field and the recommended activity time; compared with the existing mode of manually determining the activity information, the method and the device for determining the activity information determine the recommended activity field through the departure position of each entry user, determine the recommended activity time according to the departure time of each entry user, and generate the recommended activity information according to the recommended activity field and the recommended activity time, so that the recommended activity information can be automatically generated, the defect that the activity information cannot be rapidly determined in the prior art is overcome, and the activity organization efficiency can be improved.

Description

Activity information recommendation method, device, storage medium and apparatus
Technical Field
The present invention relates to the field of internet technologies, and in particular, to a method, an apparatus, a storage medium, and a device for recommending activity information.
Background
At present, when a plurality of people live in different places of a city to meet, activity organizers generally inquire activity intentions of users in sequence, then manually count activity entry information of the users, manually mark departure positions of the users on a map based on the activity entry information, roughly estimate central point positions among the users, manually search meeting places near the central point positions, and finally determine meeting places and meeting time which are convenient for everyone through a voting tool.
However, in the above manner, starting positions of different users need to be manually marked on a map based on event entry information, then center point positions among the users are roughly estimated, and then a meeting place is manually searched near the center point position, so that event information cannot be quickly determined, and further, event organization efficiency is low.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention mainly aims to provide an activity information recommendation method, equipment, a storage medium and a device, and aims to solve the technical problem that activity information cannot be determined quickly in the prior art.
In order to achieve the above object, the present invention provides an activity information recommendation method, including the steps of:
obtaining activity entry information, extracting the activity entry information, and obtaining departure positions and departure times of a plurality of entry users;
determining a user center area according to the starting position of each entry user, and determining a recommended activity field according to the user center area;
determining recommended activity time according to the departure time of each entry user, and generating recommended activity information according to the recommended activity field and the recommended activity time;
and determining an entry client according to the activity entry information, and sending the recommended activity information to the entry client.
Furthermore, to achieve the above object, the present invention also proposes an activity information recommendation apparatus comprising a memory, a processor and an activity information recommendation program stored on the memory and executable on the processor, the activity information recommendation program being configured to implement the steps of the activity information recommendation method as described above.
Furthermore, to achieve the above object, the present invention also provides a storage medium having an activity information recommendation program stored thereon, which when executed by a processor implements the steps of the activity information recommendation method as described above.
Further, to achieve the above object, the present invention also provides an activity information recommendation apparatus including: the device comprises an extraction module, a determination module, a generation module and a sending module;
the extraction module is used for acquiring activity entry information, extracting the activity entry information and acquiring the departure positions and the departure times of a plurality of entry users;
the determining module is used for determining a user center area according to the starting position of each entry user and determining a recommended activity field according to the user center area;
the generation module is used for determining recommended activity time according to the departure time of each entry user and generating recommended activity information according to the recommended activity field and the recommended activity time;
and the sending module is used for determining an entry client according to the activity entry information and sending the recommended activity information to the entry client.
In the invention, activity entry information is obtained and extracted, the starting positions and the starting times of a plurality of entry users are obtained, a user center area is determined according to the starting positions of the entry users, a recommended activity field is determined according to the user center area, recommended activity time is determined according to the starting time of the entry users, and the recommended activity information is generated according to the recommended activity field and the recommended activity time; compared with the existing method for manually determining the activity information, the method and the device for determining the activity information determine the recommended activity field through the starting position of each entry user, determine the recommended activity time according to the starting time of each entry user, and generate the recommended activity information according to the recommended activity field and the recommended activity time, so that the recommended activity information can be automatically generated, the defect that the activity information cannot be rapidly determined in the prior art is overcome, and the activity organization efficiency can be improved.
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Fig. 1 is a schematic structural diagram of an activity information recommendation device of a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a method for recommending activity information according to a first embodiment of the present invention;
FIG. 3 is a schematic diagram of a circle being constructed to determine a user center area according to an embodiment of the activity information recommendation method of the present invention;
FIG. 4 is a schematic diagram of recommending activity information according to an embodiment of an activity information recommending method of the present invention;
FIG. 5 is a flowchart illustrating a second embodiment of a method for recommending activity information according to the present invention;
FIG. 6 is a flowchart illustrating a method for recommending activity information according to a third embodiment of the present invention;
fig. 7 is a schematic diagram of determining a user center area by establishing a coordinate system according to an embodiment of the activity information recommendation method of the present invention;
fig. 8 is a block diagram illustrating a first embodiment of an activity information recommendation apparatus according to the present invention.
The implementation, functional features and advantages of the present invention will be further described with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of an activity information recommendation device of a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 1, the activity information recommending apparatus may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), and the optional user interface 1003 may further include a standard wired interface and a wireless interface, and the wired interface for the user interface 1003 may be a USB interface in the present invention. The network interface 1004 may optionally include a standard wired interface, a WIreless interface (e.g., a WIreless-FIdelity (WI-FI) interface). The Memory 1005 may be a Random Access Memory (RAM) Memory or a Non-volatile Memory (NVM), such as a disk Memory. The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the configuration shown in FIG. 1 does not constitute a limitation of the activity information recommender and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in FIG. 1, memory 1005, identified as one type of computer storage medium, may include an operating system, a network communication module, a user interface module, and an activity information recommender.
In the activity information recommendation device shown in fig. 1, the network interface 1004 is mainly used for connecting to a background server and performing data communication with the background server; the user interface 1003 is mainly used for connecting user equipment; the activity information recommendation device calls the activity information recommendation program stored in the memory 1005 through the processor 1001 and executes the activity information recommendation method provided by the embodiment of the present invention.
Based on the hardware structure, the embodiment of the activity information recommendation method is provided.
Referring to fig. 2, fig. 2 is a flowchart illustrating a method for recommending activity information according to a first embodiment of the present invention, and the method for recommending activity information according to the first embodiment of the present invention is provided.
In a first embodiment, the activity information recommendation method includes the steps of:
step S10: the method comprises the steps of obtaining activity entry information, extracting the activity entry information, and obtaining departure positions and departure times of a plurality of entry users.
It should be understood that the execution subject of this embodiment is the activity information recommendation device, where the activity information recommendation device may be an electronic device such as a computer or a server, or may also be another device that can implement the same or similar functions.
It should be noted that the activity entry information may be information uploaded by the entry client, where the activity entry information may include information such as a departure location, a departure time, and the number of entries, which is not limited in this embodiment.
It should be understood that the entry user may input the activity entry information through the activity entry link issued by the organization user, which is not limited in this embodiment.
It can be understood that extracting the activity entry information to obtain the departure positions and the departure times of the plurality of entry users may be extracting identifiers of the activity entry information to obtain information identifiers, and determining the entry users and the departure positions and the departure times corresponding to the entry users according to the information identifiers. The information identifier may be an identifier used to indicate a type of information, which is not limited in this embodiment.
Step S20: and determining a user center area according to the starting position of each entry user, and determining a recommended activity field according to the user center area.
It should be noted that the user center area may be an area with approximately the same distance from each entry user, which is not limited in this embodiment.
It should be understood that the determination of the user center area according to the departure position of each entry user may be that a plurality of outer entry users are determined according to the departure position of each entry user, a target circle passing through the departure position of each outer entry user is constructed, and the circle center area corresponding to the target circle is taken as the user center area.
In a particular implementation, for ease of understanding, reference is made to FIG. 3. Fig. 3 is a schematic diagram of a circle being constructed to determine a user center area. In fig. 3, when the departure position of each entry user is A, B, C, D, the outer entry users are determined as C and D, a target circle passing through C and D is constructed, and a circle center area E corresponding to the target circle is used as the user center area.
The event venue may be a restaurant, a movie theater, stadium information, a backroom escape venue, and the like, which is not limited in this embodiment.
It is understood that determining the recommended activity site according to the user center area may be finding a candidate activity site corresponding to the target activity area. The event venue may be a restaurant, a movie theater, stadium information, a backroom escape venue, and the like, which is not limited in this embodiment.
Step S30: and determining recommended activity time according to the departure time of each entry user, and generating recommended activity information according to the recommended activity field and the recommended activity time.
It should be understood that the determining of the recommended activity time according to the departure time of each entry user may be generating a departure time set according to the departure time of each entry user, counting the occurrence times of each departure time in the departure time set, sorting the departure time according to the occurrence times, and determining the recommended activity time according to the sorting result.
The departure time set may be a set for storing the departure times of the respective entry users, which is not limited in this embodiment.
It is to be understood that the generating of the recommended activity information according to the recommended activity site and the recommended activity time may be aggregating the recommended activity site and the recommended activity time to obtain the recommended activity information.
Step S40: and determining an entry client according to the activity entry information, and sending the recommended activity information to the entry client.
It should be understood that determining an entry client based on the active entry information may be extracting information from the active entry information, obtaining a client identifier, and determining an entry client based on the client identifier.
In a particular implementation, for ease of understanding, reference is made to FIG. 4. Fig. 4 is a schematic diagram of recommended activity information. In fig. 4, the area a is a recommended event time, and the area B is a recommended event field.
Further, in order to improve the adaptability of the recommended activity information, the determining an entry client according to the activity entry information and sending the recommended activity information to the entry client includes:
acquiring client information of the registration client, and determining an information display template according to the client information; and writing the recommended activity information into the information display template to obtain activity display information, and sending the activity display information to each registration client.
In the first embodiment, activity entry information is obtained and extracted, the departure positions and the departure times of a plurality of entry users are obtained, a user center area is determined according to the departure positions of the entry users, a recommended activity field is determined according to the user center area, recommended activity time is determined according to the departure times of the entry users, and recommended activity information is generated according to the recommended activity field and the recommended activity time; compared with the existing mode of manually determining activity information, in the embodiment, the recommended activity field is determined according to the departure position of each entry user, the recommended activity time is determined according to the departure time of each entry user, and the recommended activity information is generated according to the recommended activity field and the recommended activity time, so that the recommended activity information can be automatically generated, the defect that the activity information cannot be quickly determined in the prior art is overcome, and the activity organization efficiency can be improved.
Referring to fig. 5, fig. 5 is a flowchart illustrating a second embodiment of the activity information recommendation method according to the present invention, and the second embodiment of the activity information recommendation method according to the present invention is proposed based on the first embodiment shown in fig. 2.
In the second embodiment, the step S20 includes:
step S201: and determining a user center area according to the starting position of each entry user, and searching a candidate activity field corresponding to the user center area.
It should be noted that the user center area may be an area with approximately equal distances from each entry user, which is not limited in this embodiment.
It should be understood that the determination of the user center area according to the departure position of each entry user may be that a plurality of outer entry users are determined according to the departure position of each entry user, a target circle passing through the departure position of each outer entry user is constructed, and the circle center area corresponding to the target circle is taken as the user center area.
The event venue may be a restaurant, a movie theater, stadium information, a backroom escape venue, and the like, which is not limited in this embodiment.
Further, in order to improve the reliability of the target activity area, the determining a user center area according to the departure position of each entry user and searching for a candidate activity site corresponding to the user center area includes:
searching map information corresponding to the starting position of each entry user, establishing a target coordinate system according to the map information, determining a starting point coordinate according to the target coordinate system and the starting position, determining a user central area according to the starting point coordinate, determining a target activity area according to the user central area, and determining a candidate activity site according to the target activity area.
Step S202: and screening the candidate activity fields according to the activity registration information to obtain a recommended activity field.
It should be understood that the candidate event field is screened according to the event entry information, and the recommended event field is obtained by matching the event entry information with the candidate event field information to obtain a matching result, and screening the candidate event field according to the matching result to obtain the recommended event field.
Further, in order to make the recommended activity field better fit with the activity requirement of the user, the screening of the candidate activity field according to the activity entry information to obtain the recommended activity field includes:
the screening of the candidate activity sites according to the activity entry information to obtain the recommended activity site may be determining user preference information according to the activity entry information, searching site attribute information corresponding to the candidate activity site, generating preference scores of the candidate activity sites according to the user preference information and the site attribute information, sorting the candidate activity sites according to the preference scores, and screening the candidate activity sites according to a sorting result to obtain the recommended activity site.
In the second embodiment, a user center area is determined according to the departure position of each entry user, a candidate activity site corresponding to the user center area is searched, the candidate activity sites are screened according to the activity entry information, a recommended activity site is obtained, and therefore the recommended activity site can be generated quickly.
In the second embodiment, the step S30 includes:
step S301: and generating a departure time set according to the departure time of each entry user, and counting the occurrence times of each departure time in the departure time set.
The departure time set may be a set for storing the departure times of the respective entry users, which is not limited in this embodiment.
Step S302: and sequencing the departure time according to the occurrence times, and determining the recommended activity time according to the sequencing result.
It should be understood that the sorting of the departure times according to the number of occurrences may be sorting the departure times from large to small to obtain a sorting result.
It is understood that the determining of the recommended activity time according to the sorting result may be to take a preset number of departure times at the top of the sorting result as the recommended activity time. The preset number may be preset by a user or preset by a manager of the server, which is not limited in this embodiment.
Step S303: and generating recommended activity information according to the recommended activity field and the recommended activity time.
It should be understood that generating the recommended-activity information according to the recommended-activity field and the recommended-activity time may be aggregating the recommended-activity field and the recommended-activity time to obtain the recommended-activity information.
In the second embodiment, a departure time set is generated according to the departure time of each registered user, the number of occurrences of each departure time in the departure time set is counted, the departure times are sorted according to the number of occurrences, recommended activity time is determined according to a sorting result, and recommended activity information is generated according to the recommended activity field and the recommended activity time, so that the generation efficiency of the recommended activity information can be improved.
In the second embodiment, the step S40 includes:
step S401: and acquiring client information of the registration client, and determining an information display template according to the client information.
The client information may be client model information, and the like, which is not limited in this embodiment.
It should be understood that the determining of the information presentation template according to the client information may be searching an information presentation template corresponding to the client information in a preset template library. The preset template library comprises a corresponding relation between the client information and the information display template, and the corresponding relation between the client information and the information display template can be preset by a manager of the server.
Step S402: and writing the recommended activity information into the information display template to obtain activity display information, and sending the activity display information to each registration client.
It should be understood that, the step of writing the recommended activity information into the information display template to obtain the activity display information may be writing the recommended activity information into each module of the information display template to obtain the activity display information.
In the second embodiment, by acquiring the client information of the entry client, determining an information display template according to the client information, writing the recommended activity information into the information display template, acquiring the activity display information, and sending the activity display information to each entry client, the recommended activity information matched with the entry client can be generated, so that the equipment adaptability of the recommended activity information is improved.
Referring to fig. 6, fig. 6 is a flowchart illustrating a third embodiment of the activity information recommendation method according to the present invention, and the third embodiment of the activity information recommendation method according to the present invention is proposed based on the second embodiment shown in fig. 5.
In the third embodiment, the step S201 includes:
step S2011: and searching map information corresponding to the starting position of each entry user, and establishing a target coordinate system according to the map information.
It is understood that, the searching for the map information corresponding to the departure location of each entry user may be searching for the map information corresponding to the departure location in a preset map library. The preset map library includes a corresponding relationship between the departure position and map information, the corresponding relationship between the departure position and the map information may be preset by a manager of the server, and the map information may include map coordinate system information.
It should be understood that establishing the target coordinate system based on the map information may be determining the map coordinate system based on the map coordinate system information and having the map coordinate system as the target coordinate system.
Further, in order to improve the reliability of the target coordinate system, the step S2011 includes:
determining a current city map according to the starting position of each entry user, and searching a map center point corresponding to the current city map;
and taking the map central point as a coordinate origin, and establishing a target coordinate system according to the coordinate origin.
It can be understood that the determination of the current city map according to the departure position of each entry user may be a determination of a city where the user is located according to the departure position of each entry user, and a search of a current statement map corresponding to the city where the user is located.
It should be understood that, finding the map center point corresponding to the current city map may be finding the map center point corresponding to the current city map in a preset map library. The preset map library includes a corresponding relationship between the current city map and the map center point, and the corresponding relationship between the current city map and the map center point may be preset by a manager of the server, for example, the manager of the server may preset the map center point corresponding to the beijing map as the Imperial palace, which is not limited in this embodiment.
Step S2012: and determining a starting point coordinate according to the target coordinate system and the starting position, and determining a user center area according to the starting point coordinate.
It should be understood that, determining the user center area according to the departure point coordinates may be to use an area corresponding to the departure point coordinates closest to the center point of the map as the user center area, which is not limited in this example.
Further, in order to ensure the accuracy of the user center area, step S2012 includes:
determining a starting point coordinate according to the target coordinate system and the starting position, and acquiring a longitudinal coordinate value and a horizontal coordinate value of the starting point coordinate;
acquiring the number of the registration users, and determining the average value of the ordinate according to the number of the registration users and the ordinate value;
determining an abscissa average value according to the number of the registered users and the abscissa value;
and determining the coordinates of the central point of the user according to the mean value of the vertical coordinates and the mean value of the horizontal coordinates, and determining the central area of the user according to the coordinates of the central point of the user.
In a specific implementation, for ease of understanding, reference is made to fig. 7, where fig. 7 is a schematic diagram illustrating the establishment of a coordinate system to determine the user center area. In fig. 7, a target coordinate system is established with the map center point O as the origin of coordinates, and the departure point coordinate corresponding to the departure position A, B, C, D of each entry user is a (x)A,yA)、B(xB,yB)、C(xC,yC)、D(xD,yD) The number of registered users is 4, and the coordinates of the center point of the user can be as follows: e ((x)A+xB+xC+xD)/4,(yA+yB+yC+yD)/4). The area corresponding to the user center point coordinate may be a user center area, which is not limited in this embodiment.
Further, it is considered that in practical applications, there are cases where the departure point of some users is near the business district and the departure point of some users is near the industrial district. At this time, if the coordinates of the center point of the user are determined directly according to the average value of the ordinate and the average value of the abscissa, and the center area of the user is determined according to the coordinates of the center point of the user, there may be a case where the center area of the user falls in the industrial area, resulting in too few surrounding business circles. To overcome this drawback, the determining a user center point coordinate according to the mean ordinate and the mean abscissa and determining a user center area according to the user center point coordinate includes:
acquiring user attribute information of each entry user, and determining a user weight value of each entry user according to the user attribute information;
correcting the mean ordinate and the mean abscissa according to the user weight to obtain a target mean ordinate and a target mean abscissa;
and determining the coordinates of the central point of the user according to the target mean ordinate and the target mean abscissa, and determining the central area of the user according to the coordinates of the central point of the user.
It should be noted that the user attribute information may be a departure location attribute of the user, where the departure location attribute may be a business attribute, an industrial attribute, and the like, and this embodiment does not limit this.
It should be understood that, determining the user weight value of each entry user according to the user attribute information may be to look up a user weight value corresponding to the user attribute information in a preset weight value table. The preset weight value table includes a corresponding relationship between the user attribute information and the user weight value, and the corresponding relationship between the user attribute information and the user weight value may be preset by a manager of the server.
It can be understood that, the mean ordinate and the mean abscissa are corrected according to the user weight value to obtain the target mean ordinate and the target mean abscissa, which may be obtained by multiplying the user weight value by the mean ordinate to obtain the target mean ordinate, and multiplying the user weight value by the mean abscissa to obtain the target mean abscissa, which is not limited in this embodiment.
Step S2013: and determining a target activity area according to the user center area, and determining a candidate activity field according to the target activity area.
It should be understood that, determining the target activity area according to the user center area may be to obtain an area attribute of the user center area, and when the area attribute of the center area is business attribute information, the user center area is taken as the target activity area, where the area attribute may include a business circle attribute, a park attribute, a factory attribute, and the like, which is not limited in this embodiment.
It is to be understood that determining the candidate event venue based on the target event zone may be finding a candidate event venue corresponding to the target event zone. The event venue may be a restaurant, a movie theater, stadium information, a backroom escape venue, and the like, which is not limited in this embodiment.
Further, in order to ensure that the candidate event venue can match the event entry information of the user, the step S2013 includes:
determining a target activity area according to the user center area, and acquiring activity site information of the target activity area;
determining activity project information according to the activity registration information, and matching the activity site information with the activity project information to obtain a matching result;
and when the matching result is successful, determining a candidate activity site according to the matching result and the activity site information.
The activity item information may be activity type information, wherein the activity type information may be at least one of dinner gathering, movie watching, badminton playing, table game, KTV, and escape from a secret room; the event venue information may be restaurant information, movie theater information, stadium information, information of a backroom escape venue, and the like, which is not limited in this embodiment.
It should be understood that, the obtaining of the venue information of the target event zone may be to look up venue information corresponding to the target event zone in a preset zone information table. The preset area information table includes a corresponding relationship between the target activity area and the activity site information, and the corresponding relationship between the target activity area and the activity site information may be pre-entered by a manager of the server.
In a specific implementation, for example, the matching between the event venue information and the event project information is performed, and the matching result may be obtained when the event venue information is a movie theater and the event project information is a movie watching, and the event venue information and the event project information are successfully matched.
It is to be understood that determining the candidate event venue according to the matching result and the event venue information may be to use an event venue corresponding to the event venue information that is successfully matched as the candidate event venue.
Further, in order to avoid the difficulty in user travel, the step of determining the candidate event venue according to the matching result and the event venue information when the matching result is a successful matching includes:
when the matching result is that the matching is successful, determining user travel information according to the activity registration information;
acquiring regional traffic information of the target activity region, and generating a traffic score of the target activity region according to the user travel information and the regional traffic information;
and when the traffic score is larger than a preset score, determining a candidate activity site according to the matching result and the activity site information.
It should be noted that the user travel information may be information such as a user travel mode; the regional traffic information may be bus station, subway station, and parking lot information, which is not limited in this embodiment.
It should be understood that, the traffic score of the user central area is generated according to the user travel information and the area traffic information, when the registered user selects driving for traveling and the target activity area is close to the parking lot, a higher traffic score can be generated.
It should be noted that the preset score may be preset by a manager of the server, which is not limited in this embodiment.
It is understood that when the traffic score is less than or equal to the preset score, the target activity area may be adjusted until the traffic score of the target activity area is greater than the preset score.
Further, in order to generate a candidate event venue when matching fails, the determining, according to the event entry information, event item information, matching the event venue information with the event item information, and obtaining a matching result further includes:
and when the matching result is matching failure, adjusting the target activity area, and returning to the step of acquiring the activity site information of the target activity area until the matching result is matching success.
It should be understood that the target activity area may be adjusted by finding a business attribute area within a preset range from a central point of the user central area, and using the found business attribute area as the target activity area, for example, using a business circle within 5km of the user central area as the target activity area.
It can be understood that when the business attribute region is not found, the preset range is expanded to continue the search until the business attribute region is found.
In the third embodiment, the reliability of the target activity area can be improved by searching the map information corresponding to the departure position of each entry user, establishing a target coordinate system according to the map information, determining the departure coordinate according to the target coordinate system and the departure position, determining the user center area according to the departure coordinate, determining the target activity area according to the user center area, and determining the candidate activity site according to the target activity area.
In a third embodiment, the step S202 includes:
step S2021: and determining user preference information according to the event registration information, and searching site attribute information corresponding to the candidate event site.
It should be noted that the user preference information may be information such as a user's preference of a cuisine and a user consumption standard; the site attribute information may be site characteristic information, site consumption standards, and the like, which is not limited in this embodiment.
It should be understood that, the step of searching for the site attribute information corresponding to the candidate event site may be to search for the site attribute information corresponding to the candidate event site in a preset site information base. The preset site information base includes a corresponding relationship between the candidate event site and the site attribute information, and the corresponding relationship between the candidate event site and the site attribute information may be pre-entered by a manager of the server.
Step S2022: and generating the preference score of the candidate activity site according to the user preference information and the site attribute information, and sequencing the candidate activity site according to the preference score.
It can be understood that, the generation of the favorite score of the candidate event venue according to the user favorite information and the venue attribute information may be to match the user favorite information with the venue attribute information to obtain a matching degree, and generate the favorite score of the candidate event venue according to the matching degree. Wherein the higher the degree of match, the greater the preference score.
It should be appreciated that ranking the candidate event venues according to the preference score may rank the candidate event venues from large to small according to the preference score.
Step S2023: and screening the candidate activity fields according to the sorting result to obtain a recommended activity field.
It should be understood that the candidate event venues are screened according to the sorting result, and a preset number of candidate event venues which are sorted in the front can be used as the recommended event venues. The preset number may be preset by a user or preset by a manager of the server, which is not limited in this embodiment.
Further, in practical applications, there may be a case where a candidate event floor has been reserved, resulting in the user being unable to use it. To overcome this drawback, said step S2023 includes:
acquiring activity reservation information of the candidate activity site, and generating site idle information according to the activity reservation information and the activity registration information;
and screening the candidate activity sites according to the site idle information and the sorting result to obtain a recommended activity site.
The event reservation information may be ticket reservation information of a movie theater, reservation information of a KTV, and reservation information of a restaurant, which is not limited in this embodiment.
It should be understood that the generation of the site free information according to the event reservation information and the event entry information may be determining the arrival time of the user according to the event entry information, judging whether the candidate event site is free within the arrival time of the user according to the event preset information, and taking the site free as the site free information when the candidate event site is free.
It can be understood that the candidate event venues are screened according to the vacant site information and the sorting result, and the candidate event venues with the preset number of vacant venues can be used as the recommended event venues with the highest sorting order. The preset number may be preset by a user or preset by a manager of the server, which is not limited in this embodiment.
In a third embodiment, the user preference information is determined according to the event registration information, the site attribute information corresponding to the candidate event site is searched, the preference score of the candidate event site is generated according to the user preference information and the site attribute information, the candidate event site is sorted according to the preference score, and the candidate event site is screened according to the sorting result to obtain the recommended event site, so that the recommended event site is more suitable for the event requirement of the user, and the user experience is improved.
Furthermore, an embodiment of the present invention further provides a storage medium, where an activity information recommendation program is stored, and the activity information recommendation program, when executed by a processor, implements the steps of the activity information recommendation method described above.
In addition, referring to fig. 8, an embodiment of the present invention further provides an activity information recommendation apparatus, including: the device comprises an extraction module 10, a determination module 20, a generation module 30 and a sending module 40;
the extraction module 10 is configured to obtain activity entry information, extract the activity entry information, and obtain departure positions and departure times of a plurality of entry users.
The determining module 20 is configured to determine a user center area according to the departure position of each entry user, and determine a recommended activity field according to the user center area.
The generating module 30 is configured to determine recommended activity time according to departure time of each entry user, and generate recommended activity information according to the recommended activity site and the recommended activity time.
And the sending module 40 is configured to determine an entry client according to the activity entry information, and send the recommended activity information to the entry client.
In the embodiment, activity entry information is acquired and extracted, departure positions and departure times of a plurality of entry users are acquired, a user center area is determined according to the departure positions of the entry users, a recommended activity field is determined according to the user center area, recommended activity time is determined according to the departure times of the entry users, and the recommended activity information is generated according to the recommended activity field and the recommended activity time; compared with the existing mode of manually determining the activity information, in the embodiment, the recommended activity site is determined according to the departure position of each entry user, the recommended activity time is determined according to the departure time of each entry user, and the recommended activity information is generated according to the recommended activity site and the recommended activity time, so that the recommended activity information can be automatically generated, the defect that the activity information cannot be quickly determined in the prior art is overcome, and the activity organization efficiency can be improved.
Other embodiments or specific implementation manners of the activity information recommendation device of the present invention may refer to the above method embodiments, and are not described herein again.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The use of the words first, second, third, etc. do not denote any order, but rather the words first, second, third, etc. are to be interpreted as names.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention or portions thereof that contribute to the prior art may be embodied in the form of a software product, where the computer software product is stored in a storage medium (e.g., a Read Only Memory (ROM)/Random Access Memory (RAM), a magnetic disk, an optical disk), and includes several instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
The invention discloses A1 and an activity information recommendation method, which comprises the following steps:
obtaining activity entry information, extracting the activity entry information, and obtaining departure positions and departure times of a plurality of entry users;
determining a user center area according to the starting position of each entry user, and determining a recommended activity field according to the user center area;
determining recommended activity time according to the departure time of each entry user, and generating recommended activity information according to the recommended activity field and the recommended activity time;
and determining an entry client according to the activity entry information, and sending the recommended activity information to the entry client.
A2, the method for recommending activity information as in a1, wherein the step of determining a user center area according to the departure position of each entry user and determining a recommended activity site according to the user center area specifically includes:
determining a user center area according to the starting position of each entry user, and searching a candidate activity field corresponding to the user center area;
and screening the candidate activity fields according to the activity registration information to obtain a recommended activity field.
A3, the activity information recommendation method as in a2, wherein the step of determining a user center area according to the departure position of each entry user and searching for a candidate activity site corresponding to the user center area specifically includes:
searching map information corresponding to the starting position of each entry user, and establishing a target coordinate system according to the map information;
determining a starting point coordinate according to the target coordinate system and the starting position, and determining a user center area according to the starting point coordinate;
and determining a target activity area according to the user center area, and determining a candidate activity field according to the target activity area.
A4, the activity information recommendation method as in A3, wherein the step of determining the coordinates of the departure point according to the target coordinate system and the departure position and determining the central area of the user according to the coordinates of the departure point specifically includes:
determining a starting point coordinate according to the target coordinate system and the starting position, and acquiring a longitudinal coordinate value and a horizontal coordinate value of the starting point coordinate;
acquiring the number of the registration users, and determining the average value of the ordinate according to the number of the registration users and the ordinate value;
determining an abscissa average value according to the number of the registered users and the abscissa value;
and determining the coordinates of a central point of the user according to the mean value of the ordinate and the mean value of the abscissa, and determining the central area of the user according to the coordinates of the central point of the user.
A5, the activity information recommendation method as in a4, wherein the step of determining the coordinates of the center point of the user according to the mean values of the ordinate and the mean values of the abscissa, and determining the center area of the user according to the coordinates of the center point of the user specifically comprises:
acquiring user attribute information of each entry user, and determining a user weight value of each entry user according to the user attribute information;
correcting the mean ordinate and the mean abscissa according to the user weight to obtain a target mean ordinate and a target mean abscissa;
and determining the coordinates of a user center point according to the target ordinate average value and the target abscissa average value, and determining a user center area according to the coordinates of the user center point.
A6, the method for recommending activity information as in A3, wherein the step of determining a target activity area according to the user center area and determining a candidate activity site according to the target activity area specifically includes:
determining a target activity area according to the user center area, and acquiring activity site information of the target activity area;
determining activity project information according to the activity registration information, and matching the activity site information with the activity project information to obtain a matching result;
and when the matching result is successful, determining a candidate activity site according to the matching result and the activity site information.
A7, the activity information recommendation method as in a6, wherein when the matching result is a successful match, the step of determining a candidate activity site according to the matching result and the activity site information specifically includes:
when the matching result is that the matching is successful, determining user travel information according to the activity registration information;
acquiring regional traffic information of the target activity region, and generating a traffic score of the target activity region according to the user travel information and the regional traffic information;
and when the traffic score is larger than a preset score, determining a candidate activity site according to the matching result and the activity site information.
A8, the activity information recommendation method of A6, further comprising after the step of determining activity item information according to the activity entry information, matching the activity venue information with the activity item information, and obtaining a matching result;
and when the matching result is matching failure, adjusting the target activity area, and returning to the step of acquiring the activity item information of the target activity area until the matching result is matching success.
A9, the activity information recommendation method according to A3, wherein the step of searching for the map information corresponding to the departure location and establishing the target coordinate system according to the map information specifically includes:
determining a current city map according to the starting position of each entry user, and searching a map center point corresponding to the current city map;
and taking the map central point as a coordinate origin, and establishing a target coordinate system according to the coordinate origin.
A10, the activity information recommendation method as in a2, wherein the step of screening the candidate activity sites according to the activity entry information to obtain recommended activity sites specifically includes:
determining user preference information according to the event registration information, and searching site attribute information corresponding to the candidate event site;
generating preference scores of the candidate activity sites according to the user preference information and the site attribute information, and sequencing the candidate activity sites according to the preference scores;
and screening the candidate activity fields according to the sorting result to obtain a recommended activity field.
A11, the activity information recommendation method as in a10, wherein the step of screening the candidate activity sites according to the sorting result to obtain recommended activity sites specifically includes:
acquiring activity reservation information of the candidate activity site, and generating site idle information according to the activity reservation information and the activity registration information;
and screening the candidate activity sites according to the site idle information and the sorting result to obtain a recommended activity site.
The activity information recommendation method of any one of a12 and a1-a11, wherein the step of determining a recommended activity time according to a departure time of each entry user and generating recommended activity information according to the recommended activity venue and the recommended activity time specifically includes:
generating a departure time set according to the departure time of each entry user, and counting the occurrence times of each departure time in the departure time set;
sorting the departure time according to the occurrence times, and determining recommended activity time according to a sorting result;
and generating recommended activity information according to the recommended activity field and the recommended activity time.
The activity information recommendation method according to any one of a13 and a1-a11, wherein the step of determining an entry client according to the activity entry information and sending the recommended activity information to the entry client includes:
acquiring client information of the registration client, and determining an information display template according to the client information;
and writing the recommended activity information into the information display template to obtain activity display information, and sending the activity display information to each registration client.
The invention discloses B14, an activity information recommendation device, comprising: a memory, a processor and an activity information recommender stored on the memory and operable on the processor, the activity information recommender when executed by the processor implementing the steps of the activity information recommendation method as described above.
The invention discloses C15, a storage medium having stored thereon an activity information recommendation program which when executed by a processor implements the steps of an activity information recommendation method as described above.
The invention discloses D16 and an activity information recommendation device, which comprises: the device comprises an extraction module, a determination module, a generation module and a sending module;
the extraction module is used for acquiring activity entry information, extracting the activity entry information and acquiring departure positions and departure times of a plurality of entry users;
the determining module is used for determining a user center area according to the starting position of each entry user and determining a recommended activity field according to the user center area;
the generation module is used for determining recommended activity time according to the departure time of each entry user and generating recommended activity information according to the recommended activity field and the recommended activity time;
and the sending module is used for determining an entry client according to the activity entry information and sending the recommended activity information to the entry client.
D17, the activity information recommendation device as defined in D16, the determining module further configured to determine a user center area according to the departure position of each entry user, and search for a candidate activity venue corresponding to the user center area;
the determining module is further configured to screen the candidate activity site according to the activity entry information to obtain a recommended activity site.
D18, the activity information recommendation device as defined in D17, the determining module further configured to search map information corresponding to the departure location of each entry user, and establish a target coordinate system according to the map information;
the determining module is further used for determining a starting point coordinate according to the target coordinate system and the starting position, and determining a user center area according to the starting point coordinate;
the determining module is further configured to determine a target activity area according to the user center area, and determine a candidate activity site according to the target activity area.
D19, the activity information recommendation device according to D18, the determining module further configured to determine a departure point coordinate according to the target coordinate system and the departure position, and obtain a vertical coordinate value and a horizontal coordinate value of the departure point coordinate;
the determining module is further configured to obtain the number of the entry users, and determine an average value of vertical coordinates according to the number of the entry users and the vertical coordinate value;
the determining module is further used for determining an average value of the abscissa according to the number of the registered users and the abscissa value;
the determining module is further configured to determine a user center point coordinate according to the mean ordinate and the mean abscissa, and determine a user center area according to the user center point coordinate.
D20, the activity information recommendation apparatus of D19, the determining module further configured to obtain user attribute information of each entry user, and determine a user weight value of each entry user according to the user attribute information;
the determining module is further configured to correct the ordinate average value and the abscissa average value according to the user weight, so as to obtain a target ordinate average value and a target abscissa average value;
the determining module is further configured to determine a user center point coordinate according to the target ordinate average value and the target abscissa average value, and determine a user center area according to the user center point coordinate.

Claims (10)

1. An activity information recommendation method, characterized by comprising the steps of:
obtaining activity entry information, extracting the activity entry information, and obtaining departure positions and departure times of a plurality of entry users;
determining a user center area according to the starting position of each entry user, and determining a recommended activity field according to the user center area;
determining recommended activity time according to the departure time of each entry user, and generating recommended activity information according to the recommended activity field and the recommended activity time;
and determining an entry client according to the activity entry information, and sending the recommended activity information to the entry client.
2. The activity information recommendation method according to claim 1, wherein the step of determining a user center area according to the departure position of each entry user and determining a recommended activity field according to the user center area specifically comprises:
determining a user center area according to the starting position of each entry user, and searching a candidate activity field corresponding to the user center area;
and screening the candidate activity field according to the activity registration information to obtain a recommended activity field.
3. The activity information recommendation method according to claim 2, wherein the step of determining a user center area according to the departure position of each entry user and searching for a candidate activity site corresponding to the user center area specifically comprises:
searching map information corresponding to the starting position of each entry user, and establishing a target coordinate system according to the map information;
determining a starting point coordinate according to the target coordinate system and the starting position, and determining a user center area according to the starting point coordinate;
and determining a target activity area according to the user center area, and determining a candidate activity field according to the target activity area.
4. The activity information recommendation method according to claim 3, wherein the step of determining a departure point coordinate according to the target coordinate system and the departure position, and determining a user center area according to the departure point coordinate specifically comprises:
determining a starting point coordinate according to the target coordinate system and the starting position, and acquiring a longitudinal coordinate value and a horizontal coordinate value of the starting point coordinate;
acquiring the number of the registration users, and determining the average value of the ordinate according to the number of the registration users and the ordinate value;
determining an abscissa average value according to the number of the registered users and the abscissa value;
and determining the coordinates of the central point of the user according to the mean value of the vertical coordinates and the mean value of the horizontal coordinates, and determining the central area of the user according to the coordinates of the central point of the user.
5. The method for recommending activity information of claim 4, wherein the step of determining the coordinates of the center point of the user according to the mean ordinate and the mean abscissa and determining the center area of the user according to the coordinates of the center point of the user specifically comprises:
acquiring user attribute information of each entry user, and determining a user weight value of each entry user according to the user attribute information;
correcting the mean ordinate and the mean abscissa according to the user weight to obtain a target mean ordinate and a target mean abscissa;
and determining the coordinates of the central point of the user according to the target mean ordinate and the target mean abscissa, and determining the central area of the user according to the coordinates of the central point of the user.
6. The activity information recommendation method according to claim 3, wherein the step of determining a target activity area according to the user center area and determining a candidate activity area according to the target activity area specifically comprises:
determining a target activity area according to the user center area, and acquiring activity site information of the target activity area;
determining activity project information according to the activity entry information, and matching the activity site information with the activity project information to obtain a matching result;
and when the matching result is successful, determining a candidate activity site according to the matching result and the activity site information.
7. The activity information recommendation method according to claim 6, wherein the step of determining a candidate activity site according to the matching result and the activity site information when the matching result is a successful matching specifically comprises:
when the matching result is that the matching is successful, determining user travel information according to the activity registration information;
acquiring regional traffic information of the target activity region, and generating a traffic score of the target activity region according to the user travel information and the regional traffic information;
and when the traffic score is larger than a preset score, determining a candidate activity site according to the matching result and the activity site information.
8. An activity information recommendation device characterized by comprising: memory, processor and activity information recommender stored on the memory and operable on the processor, the activity information recommender when executed by the processor implementing the steps of the activity information recommendation method according to any of claims 1 to 7.
9. A storage medium, characterized in that the storage medium has stored thereon an activity information recommendation program which, when executed by a processor, implements the steps of the activity information recommendation method according to any one of claims 1 to 7.
10. An activity information recommendation apparatus, characterized by comprising: the device comprises an extraction module, a determination module, a generation module and a sending module;
the extraction module is used for acquiring activity entry information, extracting the activity entry information and acquiring departure positions and departure times of a plurality of entry users;
the determining module is used for determining a user center area according to the starting position of each entry user and determining a recommended activity field according to the user center area;
the generation module is used for determining recommended activity time according to the departure time of each entry user and generating recommended activity information according to the recommended activity field and the recommended activity time;
and the sending module is used for determining an entry client according to the activity entry information and sending the recommended activity information to the entry client.
CN202011643501.3A 2020-12-30 2020-12-30 Activity information recommendation method, device, storage medium and apparatus Pending CN114691977A (en)

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Address before: 100020 1765, 15th floor, 17th floor, building 3, No.10, Jiuxianqiao Road, Chaoyang District, Beijing

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Country or region before: China