CN113554496B - Information recommendation data processing system based on travel - Google Patents
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Abstract
The invention relates to an information recommendation data processing system based on travel, which comprises a travel information database, a dynamic information database, a processor and a memory for storing computer programs, wherein the travel information database is used for storing user travel records, and the user travel records comprise user identification fields and travel fields; the dynamic information database is used for storing dynamic information records issued by users, and the dynamic information records comprise dynamic information fields, travel label fields and position label fields. The invention can accurately and quickly recommend information to each user based on the travel information.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a travel-based information recommendation data processing system.
Background
In order to provide richer voyage information for a user, solve the problems of freshness and weariness of the user, improve experience feeling, and the flight tool app has an added function of voyage information recommendation. In the existing navigation information recommendation technology, the association degree of recommendation modes and the travel information is not large, and more relevant information is not recommended for the user in combination with the travel information.
In some navigation information recommendation systems, users can only comment and approve about information issued by an official party, content cannot be issued, the information interaction degree is low, the recommended content is only divided into latest and popular types, the content seen by all the users is the same, individuation is not achieved, and the information recommendation accuracy is low. In other aviation travel information recommendation systems, although users are supported to release contents, target users are civil aviation workers, the released contents are checked, the process is relatively complex, and the information recommendation efficiency is low. Although some existing flight information recommendation systems can associate flight and airport tags when releasing content, the tags are not used when recommending, and only relevant flight and airport situations are shown. And only the authenticated staff account can see other contents of the same airport by clicking the airport tag, and the ordinary passenger user can only see contents recommended by the home page list and is not friendly. Therefore, it is known that how to accurately and quickly directionally recommend information to each user based on the travel information is an urgent technical problem to be solved.
Disclosure of Invention
The invention aims to provide an information recommendation data processing system based on travel, which can accurately and quickly recommend information for each user based on travel information.
According to an aspect of the present invention, there is provided a travel-based information recommendation data processing system, including a travel information database for storing a user travel record including a user identification field and a travel field, a dynamic information database, a processor, and a memory storing a computer program; the dynamic information database is used for storing dynamic information records issued by users, and the dynamic information records comprise dynamic information fields, travel label fields and position label fields;
when the processor executes the computer program, the following steps are implemented:
step S1, acquiring first target travel information of a target user in a preset first time period from the travel information database, acquiring candidate dynamic information of which travel labels are matched with the first target travel information from the dynamic information database, constructing a candidate dynamic information set, and judging whether the number of the candidate dynamic information is greater than a preset number threshold, if so, executing step S3, otherwise, executing step S2;
step S2, acquiring first target position information of a first target user in a preset first time period from the travel information database, acquiring candidate dynamic information with a position label matched with the first target position information from the dynamic information database, and adding the candidate dynamic information into the candidate dynamic information set;
and step S3, pushing the candidate dynamic information with the weight being positioned at the first preset M pieces in the candidate dynamic information set to the target user.
Compared with the prior art, the invention has obvious advantages and beneficial effects. By the technical scheme, the information recommendation data processing system based on the travel can achieve considerable technical progress and practicability, has industrial wide utilization value, and at least has the following advantages:
according to the invention, the journey information database and the dynamic information database are established, the user journey information is associated with the dynamic labels, the candidate dynamic information is selected based on the journey labels and the position labels with different priorities, and the target information is determined from the candidate dynamic information, so that the target information is accurately and quickly directionally recommended to each user based on the journey information, and the user experience is improved.
The foregoing description is only an overview of the technical solutions of the present invention, and in order to make the technical means of the present invention more clearly understood, the present invention may be implemented in accordance with the content of the description, and in order to make the above and other objects, features, and advantages of the present invention more clearly understood, the following preferred embodiments are described in detail with reference to the accompanying drawings.
Drawings
Fig. 1 is a schematic diagram of a system for recommending data based on travel information according to an embodiment of the present invention.
Detailed Description
To further illustrate the technical means and effects of the present invention for achieving the predetermined objects, the following detailed description will be given with reference to the accompanying drawings and preferred embodiments of a system for recommending data based on travel information according to the present invention.
The embodiment of the invention provides a travel-based information recommendation data processing system, which comprises a travel information database, a dynamic information database, a processor and a memory stored with a computer program, wherein the travel information database is used for storing user travel records, the user travel records comprise user identification fields and travel fields, and the travel database is continuously updated based on all the records of a new city generated by a user. The dynamic information database is used for storing dynamic information records issued by users, the dynamic information records comprise dynamic information fields, travel label fields and position label fields, the dynamic information database is continuously updated based on the dynamic information issued by the users, and the dynamic information can comprise character information and content information.
When the processor executes the computer program, the following steps are implemented:
step S1, obtaining first target travel information of a target user in a preset first time period from the travel information database, obtaining candidate dynamic information of which the travel label is matched with the first target travel information from the dynamic information database, constructing a candidate dynamic information set, and judging whether the number of the candidate dynamic information is greater than a preset number threshold, if so, executing step S3, otherwise, executing step S2.
The first time period may be set according to specific application requirements, and may be set to be, for example, one week before and one week after the current time. The number threshold may be determined according to the specific application requirement and the last set value of M, and it is understood that the number threshold is much larger than M as a preferred embodiment, for example, may be 10 times M. It should be noted that, the trip tag has the highest priority, and when a sufficient number of candidate dynamic information is obtained based on the trip tag at the highest level, the candidate dynamic information does not need to be selected based on other dimension information.
Step S2, acquiring first target position information of a first target user in a preset first time period from the travel information database, acquiring candidate dynamic information with a position label matched with the first target position information from the dynamic information database, and adding the candidate dynamic information into the candidate dynamic information set;
it should be noted that, when sufficient candidate dynamic information cannot be selected based on the trip information of the highest priority, the candidate dynamic information is further selected based on the position information ranked at the second priority.
And step S3, pushing the candidate dynamic information with the weight being positioned at the first preset M pieces in the candidate dynamic information set to the target user.
It should be noted that after the candidate dynamic information of the first M preset pieces is selected, the candidate dynamic information may be pushed to the target user according to a time reverse order, or may be pushed to the target user according to a weight descending order.
The system provided by the embodiment of the invention associates the user travel information with the dynamic tags by constructing the travel information database and the dynamic information database, selects the candidate dynamic information based on the travel tags and the position tags with different priorities, and determines the target information from the candidate dynamic information, so that the target information can be accurately and quickly directionally recommended to each user based on the travel information.
The system may further comprise a dynamic information publishing interface which, when the computer program is executed by the processor, causes the dynamic information publishing interface to further perform the steps of:
and step S10, acquiring the dynamic information to be issued by the user.
And step S20, retrieving the travel information database based on the user identification, generating a travel identification list in a preset second time period, and generating a position information list based on the user client position information or the user search instruction.
It should be noted that the travel identifier list refers to a list formed by the travel identifiers corresponding to the user within the preset second time period, that is, the user can only associate the travel identifier corresponding to the user with the published dynamic content
Step S30, if a travel identifier selection instruction input by a user based on the travel identifier list is received, setting the travel identifier selected by the user as a travel label of the dynamic information to be issued; if a position selection instruction input by a user based on the position information list is received, setting the position information selected by the user as a position label of the dynamic information to be issued;
and step S40, storing the dynamic information to be issued and the corresponding travel label and position label into the dynamic information database.
In order to ensure the compliance of the content distributed by the user, the content distributed by the user may be detected, and the non-compliant content may be intercepted and deleted, as an embodiment, the method further includes, between the step S10 and the step S20:
step S101, performing natural language processing on the text content in the dynamic information to be issued by the user, performing picture identification on the picture content in the dynamic information to be issued by the user, and deleting the intercepted content in the dynamic information to be issued by the user if the dynamic information to be issued by the user contains preset intercepted content.
As an embodiment, the travel field includes travel identification information and time information, the travel identification is a unique travel identification, the first target travel information is a first target travel identification, and the step S1 includes:
step S11, obtaining a history travel identifier nearest to the current time and/or a to-be-completed travel identifier nearest to the current time of a first target user in a preset first time period from the travel information database, and using the history travel identifier and/or the to-be-completed travel identifier as first target travel information;
step S12, obtaining candidate dynamic information, which includes at least one travel identifier in the first target travel information, in the travel label from the dynamic information database, and constructing the candidate dynamic information set.
In step S11, the history travel identifier closest to the current time and the to-be-completed travel identifier closest to the current time are selected to obtain the first target travel information, so that the association degree between the push target information and the user travel information can be improved. The historical itinerary refers to an itinerary that the user has completed or is in progress, and the to-be-completed itinerary refers to an itinerary that the user has not yet started.
As an embodiment, the user travel record further includes a location field where the user is located, the travel field includes a travel identifier, departure place information, destination information, and time information, and the step S2 includes:
step S21, obtaining departure place information and destination information corresponding to a travel identifier of a first target user closest to the current time in a preset first time period, destination information corresponding to all unfinished travel identifiers and position information of the current user from the travel information database, and constructing first target position information;
step S22, obtaining candidate dynamic information with a position label identical to at least one position information in the first target position information from the dynamic information database, and adding the candidate dynamic information into the candidate dynamic information set.
It should be noted that, in steps S21-S22, multiple pieces of location information are selected to further select candidate dynamic information, and the number of the candidate dynamic information can be usually reached, and if the number of the candidate dynamic information is still insufficient after step S22, the candidate dynamic information can be further selected based on other supplementary information, specifically, when the system issues information, the system selects tag information for user matching, and further selects candidate dynamic information for user matching based on the system.
As an example, the step S3 includes:
step S31, determining label weight based on matching degree of the travel label and the position label of the candidate dynamic information and the target user travel record; determining a content weight based on content information of the candidate dynamic information; acquiring a time attenuation coefficient corresponding to the candidate dynamic information;
step S33, determining the weight V of the candidate dynamic information according to the label weight, the content weight, and the time attenuation coefficient of the candidate dynamic information:
V=（WA+WB）*S，
wherein, WAAs label weight of candidate dynamic information, WBAnd S is a time attenuation coefficient corresponding to the candidate dynamic information.
It should be noted that, through steps S31 to S33, not only the relevance to the user, but also the content quality and the distribution time of the candidate dynamic information need to be considered when acquiring each candidate dynamic information weight, so that the accuracy of acquiring the weight of the candidate dynamic information is improved.
As an embodiment, in step S31, determining a label weight based on the matching degree of the travel label and the location label of the candidate dynamic information with the target user travel record includes:
step S311, determining travel label weight w based on the travel label of the candidate dynamic information1Determining a location tag weight w based on the location tags of the candidate dynamic information2；
Step S312, obtaining the weight adjustment coefficient g of each labeli：
Wherein q isiFor the number of matching i-th label in the candidate dynamic information, QiThe total number of the ith label is Sum is the total number of the dynamic information in the current dynamic information database, ziWhen i =1, the ith label is a travel label, and when i is 2, the ith label is a position label;
step S313, according to the journey label weight w of the candidate dynamic information1Position tag weight w2And a weight adjustment coefficient g for each labeliDetermining tag weights WA：
It should be noted that, because the trip labels and the position labels of the dynamic information have no priority order when being sorted, the trip labels and the position labels of the feature items can be regarded as a two-dimensional coordinate system, and the right of the two-dimensional coordinate systemThe weight is the corresponding coordinate value. The dynamic information can then be represented as a vector in space. If the travel label weight and the position label weight are simply summed, only the correlation degree with the user is considered, and the requirement of the user for acquiring push information in a deeper layer is not met, so that a weight adjusting coefficient g of each label is introducediTherefore, when the hot city and the cold city are related to the user, the user needs the information of the cold city more because the information sources of the hot city are more, and the weight adjusting coefficient g is usediThe weight of the dynamic information corresponding to the cold city can be higher, and the accuracy of information pushing is improved.
As an example, step S311 includes:
step S321, if the travel label of the candidate dynamic information is the same as the first target travel information, setting the weight w of the travel label1=u1If the journey label of the candidate dynamic information is opposite to the first target journey information, setting the journey label weight w1=0, otherwise, determining a travel label weight w based on the degree of association R of the travel label with the first target travel information travel1=uxWherein, 0<ux<u1，uxIs positively correlated with R.
If the departure point of the first trip is the destination of the second trip, and the destination of the first trip is the departure point of the first trip, the first trip and the second trip are opposite trips. The association degree R between the travel label and the first target travel information travel can be obtained based on an existing model or algorithm, and is not described herein again.
As an embodiment, the system includes a preset location weight assignment table including weight values corresponding to location tags being the same as each location in the first target location information, and the step S311 includes:
step S322, obtaining a position weight list obtained by matching the position label of the candidate dynamic information with the first target position information;
step S323, determining the maximum value in the position weight list as the position label weightWeight w2。
It should be noted that, since the labels of the respective locations of the user may be repeated, for example, after the user arrives at the destination while traveling, the location is consistent with the destination of the previous trip, in step S323, the location label with higher location weight is selected for de-weighting, and the maximum value in the location weight list is determined as the location label weight w2。
As an embodiment, in step S31, the obtaining the time attenuation coefficient corresponding to the candidate dynamic information includes:
step S331, obtaining the release time corresponding to the candidate dynamic information, and determining the time attenuation coefficient S corresponding to the obtained candidate dynamic information based on the following formula:
wherein, TCIs the release time, T, corresponding to the candidate dynamic information0F is a preset offset, L is a preset attenuation scale, and d is a preset attenuation value.
By setting the time attenuation coefficient corresponding to the candidate dynamic information in step S331, it can be realized that under the same condition, the closer to the current time, the higher the weight of the candidate dynamic information, and the time attenuation coefficient range is [0,1], as an example, F may be specifically set to 1 day, the attenuation scale L determines the attenuation speed of the portion exceeding the offset, and the attenuation value determines the minimum value of the portion exceeding the attenuation scale, for example, may be set to 0.01. The accuracy and reliability of obtaining the weight of each candidate dynamic information can be improved by introducing the time attenuation coefficient S.
As an embodiment, in step S1, if the target user does not have the first target trip information within the preset first time period, the following steps are performed:
step S100, obtaining departure place information and destination information corresponding to all trips of the target user in a preset second time period as second target trip information, wherein the second time period is larger than the first time period, and the first time period is included in the second time period;
and S200, acquiring all dynamic information which is the same as the position label and the second target trip information from the dynamic information database, and pushing the dynamic information to the target user according to the inverted sequence of the release time.
It should be noted that if the target user does not have the travel information within the preset second time period, the latest dynamic list or the popular dynamic list can be directly pushed to the target user, so that information is recommended to each user more accurately, the recommended information is associated with the travel information as much as possible, and the user experience is improved.
It should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart may describe the steps as a sequential process, many of the steps can be performed in parallel, concurrently or simultaneously. In addition, the order of some of the steps may be rearranged. A process may be terminated when its operations are completed, but may have additional steps not included in the figure. A process may correspond to a method, a function, a procedure, a subroutine, a subprogram, etc.
Although the present invention has been described with reference to a preferred embodiment, it should be understood that various changes, substitutions and alterations can be made herein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (9)
1. A trip-based information recommendation data processing system,
the system comprises a travel information database, a dynamic information database, a processor and a memory which stores a computer program, wherein the travel information database is used for storing user travel records, and the user travel records comprise user identification fields and travel fields; the dynamic information database is used for storing dynamic information records issued by users, and the dynamic information records comprise dynamic information fields, travel label fields and position label fields;
when the processor executes the computer program, the following steps are implemented:
step S1, acquiring first target travel information of a target user in a preset first time period from the travel information database, acquiring candidate dynamic information of which travel labels are matched with the first target travel information from the dynamic information database, constructing a candidate dynamic information set, and judging whether the number of the candidate dynamic information is greater than a preset number threshold, if so, executing step S3, otherwise, executing step S2;
step S2, acquiring first target position information of a first target user in a preset first time period from the travel information database, acquiring candidate dynamic information with a position label matched with the first target position information from the dynamic information database, and adding the candidate dynamic information into the candidate dynamic information set;
step S3, pushing the candidate dynamic information with the weight being positioned at the first preset M in the candidate dynamic information set to the target user;
the step S3 includes:
step S31, determining label weight based on matching degree of the travel label and the position label of the candidate dynamic information and the target user travel record; determining a content weight based on content information of the candidate dynamic information; acquiring a time attenuation coefficient corresponding to the candidate dynamic information;
step S33, determining the weight V of the candidate dynamic information according to the label weight, the content weight, and the time attenuation coefficient of the candidate dynamic information:
V=（WA+WB）*S，
wherein, WAAs label weight of candidate dynamic information, WBAnd S is a time attenuation coefficient corresponding to the candidate dynamic information.
2. The system of claim 1,
when the processor executes the computer program, the following steps are also implemented:
step S10, acquiring dynamic information to be issued by a user;
step S20, retrieving the travel information database based on the user identification, generating a travel identification list in a preset second time period, and generating a position information list based on the user client position information or the user search instruction;
step S30, if a travel identifier selection instruction input by a user based on the travel identifier list is received, setting the travel identifier selected by the user as a travel label of the dynamic information to be issued; if a position selection instruction input by a user based on the position information list is received, setting the position information selected by the user as a position label of the dynamic information to be issued;
and step S40, storing the dynamic information to be issued and the corresponding travel label and position label into the dynamic information database.
3. The system of claim 1,
the trip field includes trip identification information and time information, the trip identification is a unique trip identification, the first target trip information is a first target trip identification,
the step S1 includes:
step S11, obtaining a history travel identifier nearest to the current time and/or a to-be-completed travel identifier nearest to the current time of a first target user in a preset first time period from the travel information database, and using the history travel identifier and/or the to-be-completed travel identifier as first target travel information;
step S12, obtaining candidate dynamic information, which includes at least one travel identifier in the first target travel information, in the travel label from the dynamic information database, and constructing the candidate dynamic information set.
4. The system of claim 1,
the user travel record further includes a location field where the user is located, the travel field includes a travel identifier, departure place information, destination information, and time information, and the step S2 includes:
step S21, obtaining departure place information and destination information corresponding to a travel identifier of a first target user closest to the current time in a preset first time period, destination information corresponding to all unfinished travel identifiers and position information of the current user from the travel information database, and constructing first target position information;
step S22, obtaining candidate dynamic information with a position label identical to at least one position information in the first target position information from the dynamic information database, and adding the candidate dynamic information into the candidate dynamic information set.
5. The system of claim 1,
in step S31, determining a tag weight based on the matching degree between the travel tag and the position tag of the candidate dynamic information and the target user travel record includes:
step S311, determining travel label weight w based on the travel label of the candidate dynamic information1Determining a location tag weight w based on the location tags of the candidate dynamic information2；
Step S312, obtaining the weight adjustment coefficient g of each labeli：
Wherein q isiFor the number of matching i-th label in the candidate dynamic information, QiThe total number of the ith label is Sum is the total number of the dynamic information in the current dynamic information database, ziWhen i =1, the ith label is a travel label, and when i is 2, the ith label is a position label;
step S313, according to the journey label weight w of the candidate dynamic information1Position tag weight w2And a weight adjustment coefficient g for each labeliDetermining tag weights WA：
6. The system of claim 5,
step S311 includes:
step S321, if the travel label of the candidate dynamic information is the same as the first target travel information, setting the weight w of the travel label1=u1If the journey label of the candidate dynamic information is opposite to the first target journey information, setting the journey label weight w1=0, otherwise, determining a travel label weight w based on the degree of association R of the travel label with the first target travel information travel1=uxWherein, 0<ux<u1，uxIs positively correlated with R.
7. The system of claim 5,
the system includes a preset position weight assignment table, which includes a weight value corresponding to a position label being the same as each position in the first target position information, and the step S311 includes:
step S322, obtaining a position weight list obtained by matching the position label of the candidate dynamic information with the first target position information;
step S323, the position right is transmittedThe maximum value in the weight list is determined as the position label weight w2。
8. The system of claim 1,
in step S31, the obtaining the time attenuation coefficient corresponding to the candidate dynamic information includes:
step S331, obtaining the release time corresponding to the candidate dynamic information, and determining the time attenuation coefficient S corresponding to the obtained candidate dynamic information based on the following formula:
wherein, TCIs the release time, T, corresponding to the candidate dynamic information0F is a preset offset, L is a preset attenuation scale, and d is a preset attenuation value.
9. The system of claim 1,
in step S1, if the target user does not have the first target trip information within the preset first time period, the following steps are performed:
step S100, obtaining departure place information and destination information corresponding to all trips of the target user in a preset second time period as second target trip information, wherein the second time period is larger than the first time period, and the first time period is included in the second time period;
and S200, acquiring all dynamic information which is the same as the position label and the second target trip information from the dynamic information database, and pushing the dynamic information to the target user according to the inverted sequence of the release time.
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