CN114372533A - Hybrid table arrangement data processing method and device for matching activities - Google Patents

Hybrid table arrangement data processing method and device for matching activities Download PDF

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CN114372533A
CN114372533A CN202210032255.0A CN202210032255A CN114372533A CN 114372533 A CN114372533 A CN 114372533A CN 202210032255 A CN202210032255 A CN 202210032255A CN 114372533 A CN114372533 A CN 114372533A
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matching pair
pair data
matching
participant
data sets
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张琴
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Bank of China Ltd
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Bank of China Ltd
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    • G06F18/22Matching criteria, e.g. proximity measures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
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Abstract

The invention discloses a mixed table arrangement data processing method and device for matching activities, and relates to the technical field of big data, wherein the method comprises the following steps: acquiring a plurality of matching pair data of the table to be arranged, wherein each matching pair data of the table to be arranged comprises first party data, second party data and matching degree of the first party data and the second party data; classifying the matching pair data of the plurality of tables to be arranged to obtain a plurality of types of matching pair data sets, wherein the plurality of types of matching pair data sets comprise matching pair data sets with different participant types, the participant types are the same, the matching pair data sets are guest parties, and the participant types are the same, and the matching pair data sets are host parties; and performing table arrangement analysis on the data set of the matching pairs of multiple types according to the table arrangement priority and the table arrangement turn information to generate a table arrangement result. The invention can break the limitation of the types of the enterprise clients, fully match various enterprises, avoid the waste of resources and cost, improve the efficiency and the success rate of matching activities and improve the user experience.

Description

Hybrid table arrangement data processing method and device for matching activities
Technical Field
The invention relates to the technical field of big data, in particular to a data processing method and device for a mixed arrangement table for matching activities.
Background
This section is intended to provide a background or context to the embodiments of the invention that are recited in the claims. The description herein is not admitted to be prior art by inclusion in this section.
The medium and small-sized enterprise matching activities are to develop one-to-one interviews for medium and small-sized enterprises which are organized with intentions in the form of large-scale matching interviews to help the medium and small-sized enterprises to realize supply and demand matching of markets, technologies and funds. Before the matching activity, the activity organization party can analyze the information of the participating enterprises registered in the activity and arrange a plurality of enterprises with potential cooperation on a negotiation table (namely, arranging the table) so that the enterprises can quickly find suitable partners and the activity effect is improved. However, the traditional table arrangement algorithm is only limited to table arrangement of the guest side and the host side, the types of enterprises of both the table arrangement sides are limited, potential cooperation opportunities of enterprises of the same type are ignored, waste of resources and cost is caused, the efficiency and success rate of matching activities are reduced, and user experience is poor.
Disclosure of Invention
The embodiment of the invention provides a mixed table arrangement data processing method for matching activities, which is used for breaking the limitation of enterprise customer types, fully matching various enterprises, avoiding the waste of resources and cost, improving the efficiency and success rate of the matching activities and improving the user experience, and comprises the following steps:
acquiring a plurality of matching pair data of the table to be arranged, wherein each matching pair data of the table to be arranged comprises first party data, second party data and matching degree of the first party data and the second party data;
classifying the matching pair data of the plurality of tables to be arranged to obtain a plurality of types of matching pair data sets, wherein the plurality of types of matching pair data sets comprise matching pair data sets with different participant types, matching pair data sets with the same participant type and being guest parties, and matching pair data sets with the same participant type and being host parties;
and performing table arrangement analysis on the data set of the matching pairs of multiple types according to the table arrangement priority and the table arrangement turn information to generate a table arrangement result.
The embodiment of the invention also provides a mixed table arrangement data processing device for matching activities, which is used for breaking the limitation of the types of enterprise clients, fully matching various enterprises, avoiding the waste of resources and cost, improving the efficiency and success rate of the matching activities and improving the user experience, and comprises the following steps:
the data acquisition module is used for acquiring a plurality of matching pair data of the tables to be arranged, and each matching pair data of the tables to be arranged comprises first party data, second party data and matching degree of the first party data and the second party data;
the data classification module is used for classifying the matching pair data of the plurality of tables to be arranged to obtain a plurality of types of matching pair data sets, wherein the plurality of types of matching pair data sets comprise matching pair data sets with different participant types, matching pair data sets with the same participant type and guest parties and matching pair data sets with the same participant type and host parties;
and the table arrangement module is used for carrying out table arrangement analysis on the data set according to the table arrangement priority and the table arrangement turn information and generating table arrangement results.
The embodiment of the invention also provides computer equipment which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor executes the computer program to realize the mixed table arranging data processing method for matching activities.
The embodiment of the invention also provides a computer-readable storage medium, which stores a computer program, and the computer program is executed by a processor to realize the hybrid platoon data processing method for matching activities.
An embodiment of the present invention further provides a computer program product, where the computer program product includes a computer program, and when the computer program is executed by a processor, the method for processing mixed table arrangement data for matching activities is implemented.
In the embodiment of the invention, a plurality of matching pair data of the table to be arranged are obtained, and each matching pair data of the table to be arranged comprises first party data, second party data and the matching degree of the first party data and the second party data; classifying the matching pair data of the plurality of tables to be arranged to obtain a plurality of types of matching pair data sets, wherein the plurality of types of matching pair data sets comprise matching pair data sets with different participant types, matching pair data sets with the same participant type and being guest parties, and matching pair data sets with the same participant type and being host parties; and performing table arrangement analysis on the data set of the matching pairs of multiple types according to the table arrangement priority and the table arrangement turn information to generate a table arrangement result. Compared with the technical scheme that the matching of the guest side and the host side is limited in the prior art, the method and the system classify data through matching of the to-be-arranged tables, and carry out table arrangement analysis on the set according to the table arrangement priority and the table arrangement turn information and the matching of a plurality of types, so that the limitation of the table arrangement process on the types of clients of enterprises is broken, various enterprises can be fully matched, the waste of resources and cost is avoided, the efficiency and the success rate of matching activities are improved, and the user experience is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts. In the drawings:
FIG. 1 is a flow chart of a hybrid platoon data processing method for matching activities provided in an embodiment of the present invention;
FIG. 2 is a flow chart of another hybrid platoon data processing method for matching activities provided in an embodiment of the present invention;
FIG. 3 is a flow chart of yet another hybrid platoon data processing method for matching activities provided in an embodiment of the present invention;
FIG. 4 is a schematic diagram of a hybrid platoon data processing device for matching activities provided in an embodiment of the invention;
FIG. 5 is a schematic diagram of another hybrid platoon data processing device for matching activities provided in an embodiment of the present invention;
fig. 6 is a schematic diagram of another hybrid rowtable data processing device for matching activities provided in the embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the embodiments of the present invention are further described in detail below with reference to the accompanying drawings. The exemplary embodiments and descriptions of the present invention are provided to explain the present invention, but not to limit the present invention.
In the description of the present specification, the terms "comprising," "including," "having," "containing," and the like are used in an open-ended fashion, i.e., to mean including, but not limited to. Reference to the description of the terms "one embodiment," "a particular embodiment," "some embodiments," "for example," etc., means that a particular feature, structure, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. The sequence of steps involved in the embodiments is for illustrative purposes to illustrate the implementation of the present application, and the sequence of steps is not limited and can be adjusted as needed.
Interpretation of terms:
the global medium and small enterprise matching service system comprises: the system is an innovative and unique online service system for helping small and medium-sized enterprises in the world to realize transformation upgrading, expansion development and cracking financing problems. The global matching service system for small and medium-sized enterprises helps the Chinese and foreign enterprises to realize the supply and demand matching of markets, technologies and funds by establishing a demand information base of investment and trade of the global small and medium-sized enterprises, enables the Chinese and foreign parties to initially communicate through remote videos, and organizes the interested Chinese and foreign enterprises to develop one-to-one mutual interview in the form of large-scale matching interviews.
Arranging tables: the negotiation table is arranged for two potentially interested enterprises, where "negotiation table" is also understood to be a negotiation opportunity, an offline activity being a real table and an online activity being a video room. An activity is generally divided into a plurality of rounds, the number of tables in each round is customizable, and the number of the tables in a round is numbered from 1 to n in sequence on the assumption that the number of the tables in a round is n.
Research shows that the traditional table arrangement algorithm is only limited to table arrangement of a guest side and a host side, the types of enterprises of both table arrangement sides are limited, and potential cooperation opportunities of enterprises of the same type are ignored, so that in order to fully match various enterprises, avoid waste of resources and cost and improve the efficiency and success rate of matching activities, the embodiment of the invention provides a mixed table arrangement data processing method and device for matching activities.
As shown in fig. 1, a flowchart of a hybrid platoon data processing method for matching activities provided by an embodiment of the present invention is applied to a small and medium enterprise matching service system in the world, and the method includes the following steps:
step 101, obtaining a plurality of matching pair data of the table to be arranged, wherein each matching pair data of the table to be arranged comprises first party data, second party data and matching degree of the first party data and the second party data;
step 102, classifying the matching pair data of a plurality of tables to be arranged to obtain a plurality of types of matching pair data sets, wherein the plurality of types of matching pair data sets comprise matching pair data sets with different participant types, matching pair data sets with the same participant type and guest parties, and matching pair data sets with the same participant type and host parties;
and 103, performing table arrangement analysis on the data sets of the matching pairs of multiple types according to the table arrangement priority and the table arrangement turn information to generate table arrangement results.
In the embodiment of the invention, a plurality of matching pair data of the table to be arranged are obtained, and each matching pair data of the table to be arranged comprises first party data, second party data and the matching degree of the first party data and the second party data; classifying the matching pair data of the plurality of tables to be arranged to obtain a plurality of types of matching pair data sets, wherein the plurality of types of matching pair data sets comprise matching pair data sets with different participant types, matching pair data sets with the same participant type and being guest parties, and matching pair data sets with the same participant type and being host parties; and performing table arrangement analysis on the data set of the matching pairs of multiple types according to the table arrangement priority and the table arrangement turn information to generate a table arrangement result. Compared with the technical scheme that the matching of the guest side and the host side is limited in the prior art, the method and the system classify data through matching of the to-be-arranged tables, and carry out table arrangement analysis on the set according to the table arrangement priority and the table arrangement turn information and the matching of a plurality of types, so that the limitation of the table arrangement process on the types of clients of enterprises is broken, various enterprises can be fully matched, the waste of resources and cost is avoided, the efficiency and the success rate of matching activities are improved, and the user experience is improved.
In the step 101, a plurality of matching pair data of tables to be ranked uploaded by a user are obtained. Each piece of matching pair data of the to-be-arranged table comprises first participant data, second participant data and the matching degree of the first participant data and the second participant data.
The first party data comprises the type, name and number of the first party; the second party data includes a type, name, and number of the second party.
The types of the participants can be host parties or guest parties; for example, each negotiation may involve two types of enterprises, namely, chinese enterprises and foreign enterprises. A Chinese enterprise may be a sponsor, which may be sourced from multiple provinces in China; alternatively, the foreign enterprise may be a host, which may originate from multiple foreign countries. For another example, where a Chinese enterprise is a host, then a foreign enterprise is a guest, which may originate from multiple foreign countries. Alternatively, where the foreign enterprise is the host, then the Chinese enterprise is the guest, which may be sourced from multiple provinces in China.
In addition, the matching pair data of the to-be-arranged table can be based on relevant information of industry products and the like of the participating enterprises, the global small and medium-sized enterprise matching service system can calculate a matching degree for any two participating enterprises in a plurality of participating enterprises participating in the same matching activity to generate matching pair data, the higher the matching degree is, the higher the association degree is between the two enterprises, and the two enterprises in the matching pair data can be a host party or a guest party.
The matching degree can be calculated according to the supply and demand requirements between the two parties and the overlapping rate of the products and industries of the two parties, the supply and demand matching is achieved, and the higher the overlapping rate of the products and the industries of the two parties is, the higher the matching degree between the parties is. The degree of matching may be expressed in the form of a score, or may be expressed in other forms.
For example, a certain data of matching pairs of tables to be ranked can be expressed as (enterprise a, enterprise B, degree of matching).
In the step 102, the data is classified according to the matching of the plurality of tables to be arranged acquired in the step 101.
In the embodiment of the present application, as shown in fig. 2, before classifying data by matching a plurality of tables to be arranged, the method further includes:
step 201, the data of the matching pairs of the plurality of tables to be arranged are checked, and effective matching pair data in the data of the matching pairs of the plurality of tables to be arranged are screened.
In specific implementation, the format, the validity and the validity of each data field of each matching pair data of each table to be arranged need to be checked, matching pair data of the table to be arranged with illegal data and invalid data are eliminated, or data with wrong format is modified, and finally valid matching pair data are screened out from a plurality of matching pair data of the table to be arranged.
Therefore, the data matching verification of the plurality of tables to be arranged can ensure the legality and validity of the data, so that the data matching processing of the tables to be arranged in the subsequent steps is facilitated.
In step 102, the valid matching pair data determined in step 201 may be classified to obtain a plurality of types of matching pair data sets.
In an embodiment of the present invention, the step 102 may specifically include:
according to the type of a first participant and the type of a second participant in each matching pair data to be arranged, dividing the matching pair data to be arranged into matching pair data sets with different types of participants, matching pair data sets with the same types of the participants and being guest parties, and matching pair data sets with the same types of the participants and being host parties.
In specific implementation, the types of the participants can be guest parties or host parties; the data can be classified according to the matching pair data of the party type data in each matching pair data.
Dividing the matched pair data to be arranged, of which the type of the first participant is a guest party and the type of the second participant is a host party or the type of the first participant is a host party and the type of the second participant is a guest party, into one type, and adding a matched pair data set with different types of the participant parties;
dividing the matched pair data of the table to be ranked, of which the types of the first party and the second party are both guest parties, into one type, and adding a matched pair data set which is the same in type of the first party and the second party and is a guest party;
the table to be arranged matching pair data of which the types of the first participating party and the second participating party are both host parties are divided into one type, and a matching pair data set which is the same in type of the participating parties and is the host party is added.
Therefore, the data are classified according to the matching of the participant to be arranged tables, the data can be arranged according to the matching of the participant to be arranged tables of different types, and the limitation of the table arrangement process on the types of the clients of the enterprises is broken, so that various enterprises can be fully matched, and the waste of resources and cost is avoided.
In step 103, a table arrangement analysis may be performed on the data set according to the table arrangement priority and the table arrangement round information to generate a table arrangement result.
The table ranking priority may be a priority rule customized by the system, for example, table ranking analysis is performed according to the priority order of matching pair data sets with different participant types, matching pair data sets with the same participant type and being guest parties, and matching pair data sets with the same participant type and being host parties; or the user can also customize the table-arranging priority according to different scene requirements.
The round information of the arranged tables may include a round time period of each round and a plurality of table position information corresponding to the round time period. For example, the round of the matching activity is set to be 5 rounds, the time length of each round is 1 hour, the table position information of each round is 10 table positions, and the round time periods of the 5 rounds are respectively 8:00-9:00, 10:00-11:00, 13:00-14:00, 15:00-16:00 and 17:00-18: 00.
It should be noted that the table position information of each round may also be set as different table position information, for example, 8:00-9:00, 10:00-11:00, 13:00-14:00 all correspond to 10 table positions, 15:00-16:00, 17:00-18:00 may be set as 8 table positions.
And performing table arrangement analysis on the multiple types of matching pair data sets according to the priority sequence of the matching pair data sets with different participant types, the same participant type, the same guest party and the same participant type and the same host party, wherein the multiple types of matching pair data sets can correspond to multiple table arrangement rules.
In an embodiment of the present invention, as shown in fig. 3, the step 103 may specifically include:
step 301, performing a table arrangement analysis on the matching pair data sets with different participant types according to the table arrangement priority and the table arrangement round information to generate table arrangement results corresponding to the matching pair data sets with different participant types and the empty table information of each round.
Here, this step is to arrange tables for data sets of matching pairs with different types of participants, and specifically, the step 301 may include:
configuring table position information for a first participant in matching pair data to be arranged aiming at matching pair data sets with different participant types;
according to the sequence from high matching degree to low matching degree, sorting second parties corresponding to the first parties to obtain a first sorting result;
according to the first sequencing result, matching turn time periods for the second party in the first sequencing result, and determining turn time periods corresponding to the matching pair data of the table to be sequenced;
generating table arrangement results corresponding to matching pair data sets with different participant types and empty table information of each turn, wherein the table position information in the table arrangement results corresponding to the matching pair data sets with different participant types is the table position information of a first participant, and the turn time period in the table arrangement results corresponding to the matching pair data sets with different participant types is the turn time period corresponding to a second participant.
In specific implementation, it may be considered that the type of the first participant of each to-be-ranked table matching pair data in the "guest-host" matching pair data set (i.e., matching pair data sets with different participant types) is "guest", and the type of the second participant is "host". According to the table position information in the first round of table arrangement information (namely, the table arrangement information can be understood as the table arrangement round with the earliest starting time in the table arrangement round information), and based on the logic that each party participates in the same round only for one time, the table position information is configured for each guest party (namely, the first party), wherein the table position information can be a fixed table position number, namely, the fixed table position number can be configured for the matching of the table to be arranged on the data of the guest party, and a plurality of rounds of negotiation are carried out on a certain guest party, so that the guest party can carry out the negotiation on the corresponding fixed table position number without exchanging the table back and forth during each round of negotiation, the condition that the guest party exchanges the table back and forth is avoided, and the user experience is improved.
In specific implementation, after a fixed desk number is configured for a guest party (namely, a first participating party), matching a to-be-ranked desk corresponding to each guest party with a host party (namely, a second participating party) in the data, and ranking the to-be-ranked desk matching with the host party in the data according to the sequence from high matching degree to low matching degree of the host party and the guest party to obtain a first ranking result; then, according to the first sequencing result, the table time period (namely the round time period) is matched for the host, and the round time period corresponding to the matching pair data of the table to be sequenced is determined. That is to say, under the condition that the "guest party" has multiple rounds of negotiations, based on the principle that the matching of the to-be-scheduled table with a high matching degree is performed on the data preferentially, the matching is preferentially performed in the time period (i.e. round time period) of performing the table-serving with the "host party" with the highest matching degree with the "guest party", so that the matching of the to-be-scheduled table with a high matching degree is performed on the data preferentially, and the success rate and the efficiency of the negotiations can be improved.
In specific implementation, the fixed table position number of the guest party is used as the table position information of the matching pair data of the corresponding table to be arranged, the table time period of the host party is used as the turn time period of the matching pair data of the corresponding table to be arranged, and then the table arrangement result corresponding to the matching pair data set with different participant types is generated. The table arrangement result comprises first party data, second party data, turn time periods and table position information.
During specific implementation, the empty table information of each round needs to be counted, so that subsequent table arrangement analysis is facilitated, and resource waste is avoided. Since each table information should correspond to 2 parties, in a certain turn, when the number of parties matched with the table information is less than 2 parties, the table information can be considered as an empty table in the turn.
Step 302, according to the table arrangement results corresponding to the matching pair data sets with different participant types and the empty table information of each round, performing table arrangement analysis on the matching pair data sets with the same participant type and serving as guests to generate table arrangement results corresponding to the matching pair data sets with the same participant type and serving as guests, and updating the empty table information of each round.
Here, the step is to rank the data sets by matching the participants with the same type and being guests, and specifically, the step 302 may include:
determining table position information of a participant in the matching pair data sets with the same participant type and a guest according to table arrangement results corresponding to matching pair data sets with different participant types, wherein the table position information of the participant in the matching pair data sets with the same participant type and a guest is table position information corresponding to a first participant overlapped with the first participant in the matching pair data sets with different participant types;
according to the empty table information of each round, counting the number of times of empty tables corresponding to the table position information of the participants in the matching pair data set, wherein the participants are the same in type and are guests;
sorting the number of times of empty tables corresponding to the table position information of the participants in the data set according to a sequence from low to high to obtain a second sorting result, wherein the types of the participants are the same and are guest parties;
matching round time periods and table position information for matching pair data to be arranged in the matching pair data set of the participants with the same type and the guests according to the second sequencing result and the empty table information of each round;
and generating a table arrangement result which is the same in participant type and corresponds to the matching pair data set of the guest party, and updating the empty table information of each turn.
In specific implementation, it may be determined that a "guest" in a "guest-guest" matching pair data set (i.e., a matching pair data set with the same participant type and being a guest) overlaps with a "guest" in a "guest-host" matching pair data set. Then, the table position number of the overlapped "guest party" in the "guest party-guest party" matching pair data set can be determined according to the fixed table position number of the "guest party" in the "guest party-host party" matching pair data set.
In specific implementation, after the table number of the overlapped guest party in the data set of the matching pair of guest party and guest party is determined, counting the number of times of the empty table corresponding to the table number of the overlapped guest party according to the empty table information of each turn, and sequencing the number of times of the empty table corresponding to the table number of the overlapped guest party according to the sequence from low to high to obtain a second sequencing result; and matching the data set matching turn time period and the table position information for the 'guest party-guest party' matching pair according to the second sequencing result and the table position number overlapping the 'guest party' based on the logic that each participant only performs one-time table-taking in the same turn. That is to say, the table position number with the low fixed table position number empty rate in the two guest parties in the matching pair data of the table to be arranged is preferentially selected as the table position information of the matching pair data of the table to be arranged, then, the round time period corresponding to the table position information when the table is empty is determined as the round time period of the matching pair data of the table to be arranged, and then, the table arranging result corresponding to the matching pair data set with the same participant type and being the guest party is generated, and the empty table information of each round is updated.
Therefore, the table number with low fixed table number empty rate in the two guest sides in the data is preferentially selected to be matched with the table to be arranged, the frequent table changing of the guest sides with high table arrangement rate can be avoided, and the user experience is improved.
And 303, performing table arrangement analysis on the matching pair data sets with the same participant type and serving as the host according to the updated empty table information of each turn, and generating a table arrangement result corresponding to the matching pair data sets with the same participant type and serving as the host.
Here, this step is to arrange tables for data sets for matching with the same participant type and the host, and specifically, the step 303 may include:
sorting the table-putting times of the participants in the data set from high to low according to the matching pair with the same participant type and the same host to obtain a third sorting result;
matching table position information and round time periods for matching pair data to be arranged in the matching pair data set of the participating party with the same type and serving as the host according to the third sequencing result and the updated empty table information of each round;
and generating table arrangement results which are the same in participant type and correspond to the matching pair data set of the host.
In specific implementation, the 'host-host' matching pairs of the desktop times of each 'host' in the data set can be sequenced from high to low to obtain a third sequencing result; then, according to the updated empty table information of each round and based on the logic that each participant only performs table-up once in the same round, a fixed table position number is configured for the 'host' with a large number of table-up times, and then based on the principle that the matching pair data of the table to be arranged with high matching degree preferentially performs table-up, according to the round time period corresponding to the fixed table position number, the table-arranging result corresponding to the matching pair data set with the same participant type and serving as the host is generated for the matching pair data matching round time period of the table to be arranged.
Therefore, the 'host side' with many negotiations can be prevented from changing tables for many times, and the user experience is improved.
In addition, in the embodiment of the invention, after the table arrangement analysis is performed on the data set by matching the host and the host, if the empty table information still exists, and the table arrangement matching data to be arranged of the matched table which is not on the table still exists in the data set by matching the host and the host, table arrangement can be supplemented. Specifically, based on the logic that each participant only performs one-time table-putting in the same turn, for the to-be-arranged table matching pair data which is not subjected to table-putting in the "host-host" matching pair data set, the to-be-arranged table matching pair data corresponding to the "host" which is subjected to table-putting less frequently in the "host" which is not subjected to table-putting is preferentially processed, so that the table arrangement can cover more enterprises.
Step 304, determining the table arrangement result of the table arrangement matching pair data according to the table arrangement result corresponding to the matching pair data sets with different participant types, the table arrangement result corresponding to the matching pair data set with the same participant type and being a guest party and the table arrangement result corresponding to the matching pair data set with the same participant type and being a host party, wherein the table arrangement result of the table arrangement matching pair data comprises first participant data, second participant data, turn time periods and table position information.
Like this, based on the matching of different grade type to data set, adopt the different rules of arranging the table, under the prerequisite of guaranteeing that the participant that the matching degree is high preferentially arranges the table, to the participant who participates in many rounds of negotiation in the activity of making a match in the same scene, arrange the table in order to promote the user experience of participant in the mode of fixed table position number, also cover more participants as far as simultaneously, can fully excavate the potential cooperation opportunity between the participant.
The embodiment of the invention also provides a mixed row table data processing device for matching activities, which is described in the following embodiment. Because the principle of solving the problems of the device is similar to the mixed table arrangement data processing method for the matching activities, the implementation of the device can refer to the implementation of the mixed table arrangement data processing method for the matching activities, and repeated parts are not described again.
As shown in fig. 4, a schematic diagram of a hybrid platoon data processing device for matching activities is provided for an embodiment of the present invention, where the device includes:
the data acquisition module 401 is configured to acquire a plurality of matching pair data of the to-be-arranged table, where each matching pair data of the to-be-arranged table includes first party data, second party data, and a matching degree between the first party data and the second party data;
a data classification module 402, configured to classify matching pair data of multiple tables to be arranged to obtain multiple types of matching pair data sets, where the multiple types of matching pair data sets include matching pair data sets with different participant types, matching pair data sets with the same participant type and being guests, and matching pair data sets with the same participant type and being hosts;
and the table arrangement module 403 is configured to perform table arrangement analysis on the data set according to the table arrangement priority and the table arrangement round information, and generate a table arrangement result.
In the embodiment of the invention, the first party data comprises the type, name and number of the first party; the second party data includes a type, name, and number of the second party.
In the embodiment of the present invention, as shown in fig. 5, the data verification module 501 is further included, and is specifically configured to:
and checking the matching pair data of the plurality of tables to be arranged, and determining effective matching pair data in the matching pair data of the plurality of tables to be arranged.
In this embodiment of the present invention, the data classification module 402 is specifically configured to:
according to the type of a first participant and the type of a second participant in each matching pair data to be arranged, dividing the matching pair data to be arranged into matching pair data sets with different types of participants, matching pair data sets with the same types of the participants and being guest parties, and matching pair data sets with the same types of the participants and being host parties.
In the embodiment of the invention, the round information of the arranged tables comprises a round time period of each round and a plurality of table position information corresponding to the round time period;
as shown in fig. 6, the row table module 403 may include:
the first table arrangement unit 601 is configured to perform table arrangement analysis on the matching pair data sets of different participant types according to the table arrangement priority and the table arrangement round information, and generate table arrangement results corresponding to the matching pair data sets of different participant types and the empty table information of each round;
a second table arrangement unit 602, configured to perform table arrangement analysis on the matching pair data sets that are the same in participant type and are guests according to the table arrangement results corresponding to the matching pair data sets of different participant types and the empty table information of each round, generate table arrangement results corresponding to the matching pair data sets that are the same in participant type and are guests, and update the empty table information of each round;
a third table arrangement unit 603, configured to perform table arrangement analysis on the matching pair data sets that are the same as the participant type and are the hosts according to the updated empty table information of each round, and generate table arrangement results corresponding to the matching pair data sets that are the same as the participant type and are the hosts;
a table arrangement result determining unit 604, configured to determine a table arrangement result of the to-be-arranged table matching pair data according to a table arrangement result corresponding to a matching pair data set with different participant types, a table arrangement result corresponding to a matching pair data set with the same participant type and being a guest side, and a table arrangement result corresponding to a matching pair data set with the same participant type and being a host side, where the table arrangement result of the to-be-arranged table matching pair data includes first participant data, second participant data, a turn time period, and table position information.
In the embodiment of the present invention, the first row of table units 601 is specifically configured to:
configuring table position information for a first participant in matching pair data to be arranged aiming at matching pair data sets with different participant types;
according to the sequence from high matching degree to low matching degree, sorting second parties corresponding to the first parties to obtain a first sorting result;
according to the first sequencing result, matching turn time periods for the second party in the first sequencing result, and determining turn time periods corresponding to the matching pair data of the table to be sequenced;
generating table arrangement results corresponding to matching pair data sets with different participant types and empty table information of each turn, wherein the table position information in the table arrangement results corresponding to the matching pair data sets with different participant types is the table position information of a first participant, and the turn time period in the table arrangement results corresponding to the matching pair data sets with different participant types is the turn time period corresponding to a second participant.
In the embodiment of the present invention, the second row of table units 602 is specifically configured to:
determining table position information of a participant in the matching pair data sets with the same participant type and a guest according to table arrangement results corresponding to matching pair data sets with different participant types, wherein the table position information of the participant in the matching pair data sets with the same participant type and a guest is table position information corresponding to a first participant overlapped with the first participant in the matching pair data sets with different participant types;
according to the empty table information of each round, counting the number of times of empty tables corresponding to the table position information of the participants in the matching pair data set, wherein the participants are the same in type and are guests;
sorting the number of times of empty tables corresponding to the table position information of the participants in the data set according to a sequence from low to high to obtain a second sorting result, wherein the types of the participants are the same and are guest parties;
matching round time periods and table position information for matching pair data to be arranged in the matching pair data set of the participants with the same type and the guests according to the second sequencing result and the empty table information of each round;
and generating a table arrangement result which is the same in participant type and corresponds to the matching pair data set of the guest party, and updating the empty table information of each turn.
In the embodiment of the present invention, the third row of table units 603 is specifically configured to:
sorting the table-putting times of the participants in the data set from high to low according to the matching pair with the same participant type and the same host to obtain a third sorting result;
matching table position information and round time periods for matching pair data to be arranged in the matching pair data set of the participating party with the same type and serving as the host according to the third sequencing result and the updated empty table information of each round;
and generating table arrangement results which are the same in participant type and correspond to the matching pair data set of the host.
The embodiment of the invention also provides computer equipment which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor executes the computer program to realize the mixed table arranging data processing method for matching activities.
The embodiment of the invention also provides a computer-readable storage medium, which stores a computer program, and the computer program is executed by a processor to realize the hybrid platoon data processing method for matching activities.
An embodiment of the present invention further provides a computer program product, where the computer program product includes a computer program, and when the computer program is executed by a processor, the method for processing mixed table arrangement data for matching activities is implemented.
In the embodiment of the invention, a plurality of matching pair data of the table to be arranged are obtained, and each matching pair data of the table to be arranged comprises first party data, second party data and the matching degree of the first party data and the second party data; classifying the matching pair data of the plurality of tables to be arranged to obtain a plurality of types of matching pair data sets, wherein the plurality of types of matching pair data sets comprise matching pair data sets with different participant types, matching pair data sets with the same participant type and being guest parties, and matching pair data sets with the same participant type and being host parties; and performing table arrangement analysis on the data set of the matching pairs of multiple types according to the table arrangement priority and the table arrangement turn information to generate a table arrangement result. Compared with the technical scheme that the matching of the guest side and the host side is limited in the prior art, the method and the system classify data through matching of the to-be-arranged tables, and carry out table arrangement analysis on the set according to the table arrangement priority and the table arrangement turn information and the matching of a plurality of types, so that the limitation of the table arrangement process on the types of clients of enterprises is broken, various enterprises can be fully matched, the waste of resources and cost is avoided, the efficiency and the success rate of matching activities are improved, and the user experience is improved.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are only exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.

Claims (19)

1. A hybrid platoon data processing method for matching activities, comprising:
acquiring a plurality of matching pair data of the table to be arranged, wherein each matching pair data of the table to be arranged comprises first party data, second party data and matching degree of the first party data and the second party data;
classifying the matching pair data of the plurality of tables to be arranged to obtain a plurality of types of matching pair data sets, wherein the plurality of types of matching pair data sets comprise matching pair data sets with different participant types, matching pair data sets with the same participant type and being guest parties, and matching pair data sets with the same participant type and being host parties;
and performing table arrangement analysis on the data set of the matching pairs of multiple types according to the table arrangement priority and the table arrangement turn information to generate a table arrangement result.
2. The method of claim 1, wherein the first party data includes a type, name, and number of the first party; the second party data includes a type, name, and number of the second party.
3. The method of claim 1, wherein prior to classifying the data for the plurality of table matches, further comprising:
and checking the data of the matching pairs of the plurality of tables to be arranged, and screening effective matching pair data in the data of the matching pairs of the plurality of tables to be arranged.
4. The method of claim 3, wherein classifying the data of the plurality of matched pairs for table arrangement to obtain a plurality of types of matched pair data sets comprises:
according to the type of a first participant and the type of a second participant in each matching pair data to be arranged, dividing the matching pair data to be arranged into matching pair data sets with different types of participants, matching pair data sets with the same types of the participants and being guest parties, and matching pair data sets with the same types of the participants and being host parties.
5. The method of claim 1, wherein the round information comprises a round time period of each round and a plurality of table position information corresponding to the round time period;
performing a table arrangement analysis on the data set according to the table arrangement priority and the table arrangement round information to generate a table arrangement result, comprising:
according to the round information of the round of the table arrangement and the priority of the table arrangement, carrying out table arrangement analysis on the matching pair data sets with different participant types to generate table arrangement results corresponding to the matching pair data sets with different participant types and the empty table information of each round;
according to the table arrangement results corresponding to the matching pair data sets with different participant types and the empty table information of each round, carrying out table arrangement analysis on the matching pair data sets with the same participant type and being guest sides to generate table arrangement results corresponding to the matching pair data sets with the same participant type and being guest sides, and updating the empty table information of each round;
performing table arrangement analysis on the matching pair data sets with the same participant type and serving as the host according to the updated empty table information of each turn to generate table arrangement results corresponding to the matching pair data sets with the same participant type and serving as the host;
determining the table arrangement result of the table arrangement matching pair data according to the table arrangement result corresponding to the matching pair data sets with different participant types, the table arrangement result corresponding to the matching pair data set with the same participant type and being a guest party and the table arrangement result corresponding to the matching pair data set with the same participant type and being a host party, wherein the table arrangement result of the table arrangement matching pair data comprises first participant data, second participant data, a turn time period and table position information.
6. The method of claim 5, wherein performing a round-robin analysis on the data sets of matching pairs with different participant types according to the round-robin priority and round-robin information to generate round-robin results corresponding to the data sets of matching pairs with different participant types and the empty-robin information for each round includes:
configuring table position information for a first participant in matching pair data to be arranged aiming at matching pair data sets with different participant types;
according to the sequence from high matching degree to low matching degree, sorting second parties corresponding to the first parties to obtain a first sorting result;
according to the first sequencing result, matching turn time periods for the second party in the first sequencing result, and determining turn time periods corresponding to the matching pair data of the table to be sequenced;
generating table arrangement results corresponding to matching pair data sets with different participant types and empty table information of each turn, wherein the table position information in the table arrangement results corresponding to the matching pair data sets with different participant types is the table position information of a first participant, and the turn time period in the table arrangement results corresponding to the matching pair data sets with different participant types is the turn time period corresponding to a second participant.
7. The method of claim 6, wherein according to the table arrangement result corresponding to the matching pair data sets with different participant types and the empty table information of each round, performing table arrangement analysis on the matching pair data sets with the same participant type and being guest parties to generate the table arrangement result corresponding to the matching pair data sets with the same participant type and being guest parties, and updating the empty table information of each round, the method comprises:
determining table position information of a participant in the matching pair data sets with the same participant type and a guest according to table arrangement results corresponding to matching pair data sets with different participant types, wherein the table position information of the participant in the matching pair data sets with the same participant type and a guest is table position information corresponding to a first participant overlapped with the first participant in the matching pair data sets with different participant types;
according to the empty table information of each round, counting the number of times of empty tables corresponding to the table position information of the participants in the matching pair data set, wherein the participants are the same in type and are guests;
sorting the number of times of empty tables corresponding to the table position information of the participants in the data set according to a sequence from low to high to obtain a second sorting result, wherein the types of the participants are the same and are guest parties;
matching round time periods and table position information for matching pair data to be arranged in the matching pair data set of the participants with the same type and the guests according to the second sequencing result and the empty table information of each round;
and generating a table arrangement result which is the same in participant type and corresponds to the matching pair data set of the guest party, and updating the empty table information of each turn.
8. The method of claim 7, wherein performing a table ranking analysis on the data sets of matching pairs with the same participant type and being the host according to the updated table empty information of each round to generate table ranking results corresponding to the data sets of matching pairs with the same participant type and being the host, comprises:
sorting the table-putting times of the participants in the data set from high to low according to the matching pair with the same participant type and the same host to obtain a third sorting result;
matching table position information and round time periods for matching pair data to be arranged in the matching pair data set of the participating party with the same type and serving as the host according to the third sequencing result and the updated empty table information of each round;
and generating table arrangement results which are the same in participant type and correspond to the matching pair data set of the host.
9. A hybrid platoon data processing device for matchmaking activities, comprising:
the data acquisition module is used for acquiring a plurality of matching pair data of the tables to be arranged, and each matching pair data of the tables to be arranged comprises first party data, second party data and matching degree of the first party data and the second party data;
the data classification module is used for classifying the matching pair data of the plurality of tables to be arranged to obtain a plurality of types of matching pair data sets, wherein the plurality of types of matching pair data sets comprise matching pair data sets with different participant types, matching pair data sets with the same participant type and guest parties and matching pair data sets with the same participant type and host parties;
and the table arrangement module is used for carrying out table arrangement analysis on the data set according to the table arrangement priority and the table arrangement turn information and generating table arrangement results.
10. The apparatus of claim 9, wherein the first party data includes a type, name, and number of the first party; the second party data includes a type, name, and number of the second party.
11. The apparatus of claim 9, further comprising a data verification module, specifically configured to:
and checking the data of the matching pairs of the plurality of tables to be arranged, and screening effective matching pair data in the data of the matching pairs of the plurality of tables to be arranged.
12. The apparatus of claim 11, wherein the data classification module is specifically configured to:
according to the type of a first participant and the type of a second participant in each matching pair data to be arranged, dividing the matching pair data to be arranged into matching pair data sets with different types of participants, matching pair data sets with the same types of the participants and being guest parties, and matching pair data sets with the same types of the participants and being host parties.
13. The apparatus of claim 9, wherein the round information comprises a round time period of each round and a plurality of table positions corresponding to the round time period;
a gang table module comprising:
the first table arrangement unit is used for carrying out table arrangement analysis on the matching pair data sets with different participant types according to the table arrangement priority and the table arrangement round information to generate table arrangement results corresponding to the matching pair data sets with different participant types and the empty table information of each round;
the second table arrangement unit is used for carrying out table arrangement analysis on the matching pair data sets with the same participant type and guest parties according to the table arrangement results corresponding to the matching pair data sets with different participant types and the empty table information of each round, generating the table arrangement results corresponding to the matching pair data sets with the same participant type and guest parties, and updating the empty table information of each round;
the third table arrangement unit is used for carrying out table arrangement analysis on the matching pair data sets which are the same in participant type and are the hosts according to the updated empty table information of each turn, and generating table arrangement results which are the same in participant type and correspond to the matching pair data sets of the hosts;
and the table arrangement result determining unit is used for determining the table arrangement result of the table arrangement matching pair data according to the table arrangement result corresponding to the matching pair data sets with different participant types, the table arrangement result corresponding to the matching pair data set with the same participant type and being a guest party and the table arrangement result corresponding to the matching pair data set with the same participant type and being a host party, wherein the table arrangement result of the table arrangement matching pair data comprises first participant data, second participant data, turn time periods and table position information.
14. The apparatus of claim 13, wherein the first row of table units is specifically configured to:
configuring table position information for a first participant in matching pair data to be arranged aiming at matching pair data sets with different participant types;
according to the sequence from high matching degree to low matching degree, sorting second parties corresponding to the first parties to obtain a first sorting result;
according to the first sequencing result, matching turn time periods for the second party in the first sequencing result, and determining turn time periods corresponding to the matching pair data of the table to be sequenced;
generating table arrangement results corresponding to matching pair data sets with different participant types and empty table information of each turn, wherein the table position information in the table arrangement results corresponding to the matching pair data sets with different participant types is the table position information of a first participant, and the turn time period in the table arrangement results corresponding to the matching pair data sets with different participant types is the turn time period corresponding to a second participant.
15. The apparatus of claim 14, wherein the second row of table units is specifically configured to:
determining table position information of a participant in the matching pair data sets with the same participant type and a guest according to table arrangement results corresponding to matching pair data sets with different participant types, wherein the table position information of the participant in the matching pair data sets with the same participant type and a guest is table position information corresponding to a first participant overlapped with the first participant in the matching pair data sets with different participant types;
according to the empty table information of each round, counting the number of times of empty tables corresponding to the table position information of the participants in the matching pair data set, wherein the participants are the same in type and are guests;
sorting the number of times of empty tables corresponding to the table position information of the participants in the data set according to a sequence from low to high to obtain a second sorting result, wherein the types of the participants are the same and are guest parties;
matching round time periods and table position information for matching pair data to be arranged in the matching pair data set of the participants with the same type and the guests according to the second sequencing result and the empty table information of each round;
and generating a table arrangement result which is the same in participant type and corresponds to the matching pair data set of the guest party, and updating the empty table information of each turn.
16. The apparatus of claim 15, wherein the third row of table units is specifically configured to:
sorting the table-putting times of the participants in the data set from high to low according to the matching pair with the same participant type and the same host to obtain a third sorting result;
matching table position information and round time periods for matching pair data to be arranged in the matching pair data set of the participating party with the same type and serving as the host according to the third sequencing result and the updated empty table information of each round;
and generating table arrangement results which are the same in participant type and correspond to the matching pair data set of the host.
17. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of any one of claims 1 to 8 when executing the computer program.
18. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program which, when executed by a processor, implements the method of any one of claims 1 to 8.
19. A computer program product, characterized in that the computer program product comprises a computer program which, when being executed by a processor, carries out the method of any one of claims 1 to 8.
CN202210032255.0A 2022-01-12 2022-01-12 Hybrid table arrangement data processing method and device for matching activities Pending CN114372533A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114827261A (en) * 2022-04-28 2022-07-29 中国银行股份有限公司 Table arranging method, device, equipment and storage medium for cross-border matching activities

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114827261A (en) * 2022-04-28 2022-07-29 中国银行股份有限公司 Table arranging method, device, equipment and storage medium for cross-border matching activities

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