CN113468438A - Position recommendation method, device, equipment and storage medium - Google Patents

Position recommendation method, device, equipment and storage medium Download PDF

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CN113468438A
CN113468438A CN202010244933.0A CN202010244933A CN113468438A CN 113468438 A CN113468438 A CN 113468438A CN 202010244933 A CN202010244933 A CN 202010244933A CN 113468438 A CN113468438 A CN 113468438A
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recommendation
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冯晓涛
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Beijing Jingdong Century Trading Co Ltd
Beijing Wodong Tianjun Information Technology Co Ltd
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Beijing Jingdong Century Trading Co Ltd
Beijing Wodong Tianjun Information Technology Co Ltd
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Abstract

The embodiment of the invention discloses a position recommendation method, a device, equipment and a storage medium, wherein the method comprises the following steps: responding to the detected position recommendation request, and acquiring a position set to be allocated corresponding to the position recommendation request; determining a target recommendation position corresponding to the position recommendation request according to the weight of each position to be distributed in the position set to be distributed, wherein the weight represents the recommended priority of the corresponding position to be distributed, and the weight is determined according to the historical selection state of the corresponding position to be distributed; and generating response information of the position recommendation request according to the target recommendation position to respond. According to the position recommending method provided by the embodiment of the invention, the weight of the position is adjusted through the selection of the position by the user, and the position is recommended for the user according to the weight of the position, so that the position recommending mode is suitable for viewing areas with different playing types and different layouts, and the position recommending effect is improved.

Description

Position recommendation method, device, equipment and storage medium
Technical Field
The embodiment of the invention relates to the technical field of computers, in particular to a position recommendation method, a position recommendation device, position recommendation equipment and a storage medium.
Background
With the rapid development of the mobile internet, more and more users choose to purchase tickets for movies, dramas, music dramas, etc. on the internet. At the time of purchase, the choice of seat is critical to the viewing experience and experience. The existing ticketing system generally has a function of recommending and selecting seats for users, and at present, the way of recommending and selecting seats for users by the ticketing system is generally as follows: and determining the optimal viewing position of the viewing area, recommending from the optimal viewing position, and defaulting the viewing position to be more optimal as the distance from the optimal viewing position is closer, radiating to the periphery in sequence and gradually diffusing outwards.
In the process of implementing the invention, the inventor finds that at least the following technical problems exist in the prior art: in the prior art, the position recommendation mode is fixed, and the position recommendation effect is poor.
Disclosure of Invention
The embodiment of the invention provides a position recommending method, a position recommending device, position recommending equipment and a storage medium, which aim to flexibly recommend positions for users and improve the position recommending effect.
In a first aspect, an embodiment of the present invention provides a location recommendation method, including:
responding to the detected position recommendation request, and acquiring a position set to be allocated corresponding to the position recommendation request;
determining a target recommendation position corresponding to the position recommendation request according to the weight of each position to be distributed in the position set to be distributed, wherein the weight represents the recommended priority of the corresponding position to be distributed, and the weight is determined according to the historical selection state of the corresponding position to be distributed;
and generating response information of the position recommendation request according to the target recommendation position for responding.
In a second aspect, an embodiment of the present invention further provides a position recommendation apparatus, including:
the to-be-distributed position acquisition module is used for responding to the detected position recommendation request and acquiring a to-be-distributed position set corresponding to the position recommendation request;
the target position determining module is used for determining a target recommendation position corresponding to the position recommendation request according to the weight of each position to be distributed in the position set to be distributed, wherein the weight represents the recommended priority of the corresponding position to be distributed, and the weight is determined according to the historical selection state of the corresponding position to be distributed;
and the response information generation module is used for generating response information of the position recommendation request according to the target recommendation position and responding.
In a third aspect, an embodiment of the present invention further provides a computer device, where the computer device includes:
one or more processors;
storage means for storing one or more programs;
when executed by one or more processors, cause the one or more processors to implement a location recommendation method as provided by any of the embodiments of the invention.
In a fourth aspect, the embodiments of the present invention further provide a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the position recommendation method according to any of the embodiments of the present invention.
The embodiment of the invention responds to the detected position recommendation request to obtain a position set to be allocated corresponding to the position recommendation request; determining a target recommendation position corresponding to the position recommendation request according to the weight of each position to be distributed in the position set to be distributed, wherein the weight represents the recommended priority of the corresponding position to be distributed, and the weight is determined according to the historical selection state of the corresponding position to be distributed; and generating response information of the position recommendation request according to the target recommendation position for responding. The position weight is adjusted through the selection of the user on the position, and the position is recommended for the user according to the position weight, so that the position recommendation mode is suitable for viewing areas with different playing types and different layouts, and the position recommendation effect is improved.
Drawings
Fig. 1 is a flowchart of a location recommendation method according to an embodiment of the present invention;
fig. 2 is a flowchart of a location recommendation method according to a second embodiment of the present invention;
fig. 3 is a flowchart of a location recommendation method according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of a position recommendation device according to a fourth embodiment of the present invention;
fig. 5 is a schematic structural diagram of a computer device according to a fifth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a flowchart of a location recommendation method according to an embodiment of the present invention. The embodiment can be applied to the situation when position recommendation is carried out on the user, and is particularly suitable for the situation when viewing position recommendation is carried out on the user. The method may be performed by a location recommendation device, which may be implemented in software and/or hardware, for example, which may be configured in a computer device. As shown in fig. 1, the method includes:
s110, responding to the detected position recommendation request, and acquiring a position set to be allocated corresponding to the position recommendation request.
In this embodiment, the location recommendation request may be a request for acquiring a recommended location, which is triggered by the user through the operation terminal. Optionally, the user may input information (such as information of a position recommendation area, a position recommendation number, and the like) related to a position to be recommended on a display interface of the operation terminal to trigger the position recommendation request, after the operation terminal generates the position recommendation request according to the information input by the user, the position recommendation request is sent to the position recommendation device, and the position recommendation device analyzes the received position recommendation request to obtain a to-be-allocated position set corresponding to the position recommendation request.
The application scenario of the position recommendation method provided in the embodiment of the present invention is not limited herein, and for example, the position recommendation method may be applied to recommendation of viewing positions of movies, and may also be applied to recommendation of viewing positions of dramas, concerts, and music dramas. Taking recommendation of film viewing positions as an example, a user can input relevant information (such as film viewing field times, film viewing position quantity and the like) of film viewing positions needing to be recommended on a display interface of an operation terminal to trigger a position recommendation request, the operation terminal generates the position recommendation request according to the information input by the user and then sends the position recommendation request to a position recommendation device, the position recommendation device analyzes the received position recommendation request to obtain a target film hall corresponding to the film viewing field times, and a set formed by idle positions in the target film hall is used as a position set to be allocated.
And S120, determining a target recommendation position corresponding to the position recommendation request according to the weight of each position to be distributed in the position set to be distributed.
In the position recommendation method in the prior art, the technical problems of fixed recommendation method and poor recommendation effect exist, for example, viewing position recommendation is taken, the existing viewing position recommendation method always and rigidly homogenizes all movie halls or a certain type of movie halls, but even if the movie is the same movie, the optimal viewing positions of different movie halls are different due to various factors. Such as: the sound positions of the movie halls, the sound effects, the position of a doorway, the height difference between the front row and the rear row, the air-conditioning position, the distance between the screen and the seat and the like are unique attributes of the movie halls, and the movie watching position recommendation method in the prior art cannot be simultaneously applied to different movie halls.
In order to solve the above problem, the present embodiment provides a viewing position recommendation method commonly used in various viewing areas (such as a video hall, a play hall, etc.), which can recommend an optimal viewing seat to be considered comprehensively according to specific attributes of different areas. Optionally, in this embodiment, for each location, location recommendation is performed for the user according to the weight of each location to be recommended, where the weight represents the recommended priority of the corresponding location to be allocated, and the larger the weight value is, the higher the recommended priority of the location to be allocated corresponding to the weight is, and the weight is determined according to the historical selection state of the corresponding location to be allocated. That is, in the present embodiment, when the user selects a location, the weight of the location related to the location selection operation is adjusted according to the selection state of the user for the location, and location recommendation is performed for a subsequent user according to the weight of each location. Illustratively, after the weight of each to-be-distributed position is obtained, a target recommendation position is selected from the to-be-distributed positions according to the position recommendation requirement of the user on the basis of the weight of each to-be-distributed position.
The position recommendation method provided by the embodiment can dig various influence factors in the area corresponding to the position recommendation request according to the position selection operation of each user, and provides a better recommended position for the user. Taking the recommendation of the film watching position as an example, the target recommended position determined to be provided for the user according to the weight of each position to be distributed can exclude positions with good film watching effect caused by factors such as too close sound, direct blowing of air conditioners and the like. And the recommendation result generated by the position recommendation method provided by the embodiment is not invariable, and can be dynamically adjusted according to the increase and experience of film viewers, so that the optimal film viewing experience is provided for the user in real time.
In an embodiment of the present invention, determining a target recommended position corresponding to a position recommendation request according to a weight of each to-be-allocated position in a to-be-allocated position set includes: acquiring the position recommendation quantity corresponding to the position recommendation request; and performing reverse sequencing on the positions to be distributed according to the weight of the positions to be distributed, and sequentially acquiring the positions to be distributed with the position recommendation quantity according to the sequencing sequence to be used as target recommendation positions. Optionally, the location recommendation requirement of the user may be the number of locations required by the user, that is, the location recommendation number. The location recommendation amount may be obtained directly from the location recommendation request. And after the position recommendation number is obtained, obtaining the positions to be distributed of the position recommendation number as target recommendation positions according to the weight sequencing. For example, assuming that the recommended number of positions is 2, the combination of the positions to be allocated includes a position to be allocated 1, a position to be allocated 2, and a position to be allocated 3, the weight of the position to be allocated 1 is 61, the weight of the position to be allocated 2 is 60, and the weight of the position to be allocated 3 is 59, and the positions to be allocated are sorted in a reverse order according to the weights, so that a sorting result is obtained as follows: the positions to be distributed are 1, 2 and 3, and the 2 positions to be distributed (the position to be distributed is 1 and the position to be distributed is 2) are sequentially obtained according to the sorting sequence and are used as target recommended positions.
In the above process of determining the target recommended position, there may be a case where weights corresponding to different positions to be assigned are the same, and if there are different positions to be assigned with the same weight, the positions to be assigned with the same weight may be sorted according to a distance between each position to be assigned and the initial point, and the closer the distance between each position to be assigned and the initial point is, the higher the sort of the corresponding position to be assigned is. For example, assuming that the to-be-distributed position set includes a to-be-distributed position 1, a to-be-distributed position 2, a to-be-distributed position 3, and a to-be-distributed position 4, where the weight of the to-be-distributed position 1 is 61, the weight of the to-be-distributed position 2 is 60, the weight of the to-be-distributed position 3 is 59, the weight of the to-be-distributed position 4 is 60, the distance between the to-be-distributed position 2 and the initial point is 1, and the distance between the to-be-distributed position 4 and the initial point is 2, then the to-be-distributed positions are sorted to obtain a sorting result: a position to be dispensed 1, a position to be dispensed 2, a position to be dispensed 4, a position to be dispensed 3. If there are different positions to be allocated with the same weight and the same distance from the initial point, the positions to be allocated may be sorted by combining other factors related to the user requirement. For example, assuming that the recommended number of positions is 2, the ranking order of the different positions to be assigned with the same weight and the same distance from the initial point may also be determined by combining the distance between the positions to be assigned with the highest weight. The initial point is preset, and only the optimal position of the position factor is considered. Taking the viewing position as an example, the initial point may be the central position of the viewing hall, the boundary position between the front third of the longitudinal direction and the transverse central axis, the boundary position between the rear third of the longitudinal direction and the transverse central axis, and the like.
And S130, generating response information of the position recommendation request according to the target recommendation position and responding.
And after the target recommendation position is determined, adding a recommendation mark on the target recommendation position, generating a response page of the position recommendation request, and using the response page as response information of the position recommendation request for carrying out correspondence. Illustratively, a conspicuous color line mark may be added around the target recommended position. Optionally, the position selection control may also be automatically displayed at the target recommendation position instead of the operation of the user selecting the target recommendation position.
The embodiment of the invention responds to the detected position recommendation request to obtain a position set to be allocated corresponding to the position recommendation request; determining a target recommendation position corresponding to the position recommendation request according to the weight of each position to be distributed in the position set to be distributed, wherein the weight represents the recommended priority of the corresponding position to be distributed, and the weight is determined according to the historical selection state of the corresponding position to be distributed; and generating response information of the position recommendation request according to the target recommendation position for responding. The position weight is adjusted through the selection of the position by the user, and the position is recommended for the user according to the position weight, so that the position recommendation mode is suitable for areas with different playing types and different layouts, and the position recommendation effect is improved.
Example two
Fig. 2 is a flowchart of a location recommendation method according to a second embodiment of the present invention. The present embodiment adds an operation of adjusting the position weight according to the user selection on the basis of the above-described embodiment. As shown in fig. 2, the method includes:
s210, responding to the detected position recommendation request, and acquiring a position set to be allocated corresponding to the position recommendation request.
S220, determining a target recommendation position corresponding to the position recommendation request according to the weight of each position to be distributed in the position set to be distributed.
And S230, generating response information of the position recommendation request according to the target recommendation position and responding.
S240, acquiring a target selection position corresponding to the response information, and adjusting the weight of the target recommendation position according to the target selection position.
In this embodiment, after the target recommended position is displayed to the user through the response information, the target selection position finally confirmed by the user is obtained, and the weight of the target recommended position is adjusted according to the target selection position selected by the user. Optionally, before the weight of the target recommended position is adjusted, the weight of the target recommended position may be a weight of a target recommended position generated by a position selection operation of a historical user, and may also be an initial weight of the target recommended position. The initial weight of the target recommended position can be a set value, and can also be determined according to operations such as scoring and voting of the user on the target recommended position, and can also be determined according to purchasing conditions and position-related scoring conditions of historical target recommended positions.
In one embodiment of the present invention, adjusting the weight of the target recommended position according to the target selection position includes: acquiring a selection position identifier of a target selection position and a recommended position identifier of a target recommended position, and matching the selection position identifier with the recommended position identifier; if the selected position identification is successfully matched with the recommended position identification, the weight of the target recommended position is adjusted up; and if the matching of the selected position identification and the recommended position identification fails, the weight of the target recommended position is adjusted downwards. Specifically, the adjusting the weight of the target recommendation position according to the target selection position may specifically be that, if the target selection position is the target recommendation position, that is, the user selects the target recommendation position, the weight of the target recommendation position is adjusted up, and if the target selection position is not the target recommendation position, that is, the user does not select the target recommendation position, the weight of the target recommendation position is adjusted down. According to the selection operation of the target recommendation position by the user, factors which may influence the viewing effect except for position factors of the target recommendation position can be found, and the adjustment of the weight of the target recommendation position is equivalent to the adjustment of the recommendation priority degree of the position according to the found factors, so that the position recommendation can be dynamically adjusted along with the increase and experience of the number of viewers, and the optimal viewing experience is provided for the user in real time.
In one embodiment, the step of adjusting the weight of the target recommendation position comprises: determining a weight up-regulation value of a target recommendation position according to a preset up-regulation coefficient and a user weight corresponding to the position recommendation request; and adjusting the weight of the target recommendation position according to the weight up-adjustment value of the target recommendation position. Optionally, the adjustment factor may be preset, and the user weight corresponding to the location recommendation request may be set according to the location recommendation requestAnd determining a weight up-regulation value by the up-regulation coefficient, and adding the weight up-regulation value on the basis of the weight of the target recommendation position to obtain the weight of the target recommendation position after the weight is up-regulated. Illustratively, may be according to shDetermining a weight up-regulation value, shThe weight is a weight up-regulation value, a is an up-regulation coefficient, and W is a user weight corresponding to the position recommendation request. Wherein the user weight may be determined according to the number of times the user views the location area. For example, the user weight may be represented by W ═ Ns/NtDetermination of NsThe number of times of watching the user in the position area, NtThe total number of views for all users of the location area. Taking the film watching as an example, NsFor the number of times the user watches in the studio, NtThe total number of views of all users in the movie hall.
In one embodiment, the adjusting the weight of the target recommended position includes: determining a weight down-regulation value of a target recommendation position according to a preset down-regulation coefficient and a user weight corresponding to the position recommendation request; and adjusting the weight of the target recommendation position downwards according to the weight adjustment value of the target recommendation position. The way in which the weights are adjusted down is similar to the way in which the weights are adjusted up. Optionally, a down-regulation coefficient may be preset, a weight down-regulation value is determined according to the user weight corresponding to the position recommendation request and the down-regulation coefficient, and the weight down-regulation value is subtracted from the weight of the target recommendation position, so as to obtain the weight after the weight of the target recommendation position is down-regulated. Illustratively, may be according to slDetermining a weight up-regulation value, slAnd W is the weight down-regulation value, b is a down-regulation coefficient, and W is the user weight corresponding to the position recommendation request. Wherein the user weight may be determined according to the number of times the user views the location area. For example, the user weight may be represented by W ═ Ns/NtDetermination of NsThe number of times of watching the user in the position area, NtThe total number of views for all users of the location area. Taking the film watching as an example, NsFor the number of times the user watches in the studio, NtThe total number of views of all users in the movie hall.
It should be noted that, in this embodiment, the up-adjustment coefficient and the down-adjustment coefficient may be set according to actual requirements, but in order to make the adjustment of the weight more reasonable, the up-adjustment coefficient needs to be smaller than the down-adjustment coefficient. In addition, in order to make the adjustment of the position weight more reasonable, the upper limit of the total influence score of each user on a single position can be set, and the weight of the single position cannot be influenced to a great extent by individual users. The user weight is used as a parameter for adjusting the position weight value, so that the position is recommended for the subsequent user according to the actual film watching experience of the user, the watching effect priority of the specific position is determined by the user, and the more watching users have greater influence, the more accurate the result is.
In one embodiment of the present invention, the method further comprises: and if the matching of the selection position identification and the recommended position identification fails, the weight of the target selection position is adjusted up. Optionally, when the target selection position is not the target recommendation position, on the basis of turning down the weight of the target recommendation position, the weight of the target selection position may also be turned up, so that the recommendation priority degree of the target selection position is increased while the recommendation priority degree of the target selection position is decreased. Optionally, a more detailed method for adjusting the weight of the target selection position may be referred to the above embodiment, and is not described herein again.
On the basis of the embodiment, the embodiment of the invention adds the operation of adjusting the weight of the target recommendation position according to the target selection position selected by the user, and can dig out factors which possibly influence the viewing effect of the target recommendation position except the position factor according to the selection operation of the target recommendation position by the user, so that the position recommendation can be dynamically adjusted along with the increase and experience of the number of viewers, and the optimal viewing experience is provided for the user in real time.
EXAMPLE III
Fig. 3 is a flowchart of a location recommendation method according to a third embodiment of the present invention. The present embodiment provides a preferred embodiment based on the above embodiments, taking the viewing position recommendation as an example. As shown in fig. 3, the method includes:
s301, start.
And S302, recommending the seat with the highest weight value for the user according to the seat weight value.
In this embodiment, the seat weight value may be an initial weight value, and may be a seat weight value generated by a selection operation of a historical user. Alternatively, for example, if the recommended number of positions is 1, a seat with the highest seat weight value may be selected as the recommended seat according to the seat weight value table, and if a plurality of seats are juxtaposed with the first point, the seat closer to the initial point is prioritized.
The initial weight value is the weight value of the seat after initialization, optionally, the boundary between one third of the longitudinal direction of the auditorium and the horizontal central axis (if the boundary is located between two seats, the right side is taken as the standard) may be used as the initial point, the weight of the initial point is set to 60, the values are sequentially decreased by 0.5 from the initial point to the periphery until the values of the whole seat map are all calculated, and the initial weight value of each seat in the auditorium is obtained.
And S303, calculating the influence of the user on the movie hall.
Optionally, the user influence may be a ratio of the number of times that the user views the movie in the movie studio to the total number of times that all users view the movie in the movie studio. The more times the user looks at the movie hall, the greater the score impact.
S304, judging whether the influence score of the user exceeds a set score.
The upper limit of the total influence score of each user on a single seat can be set to be not more than 0.5, and whether the influence score of the user on the recommended seat exceeds 0.5 is judged. If the influence score of the user on the recommended seat exceeds 0.5, S311 is executed, the adjustment operation of the seat influence score is ended, and if the influence score of the user on the recommended seat does not exceed 0.5, S305 is executed, and the weight value of the seat is continuously adjusted according to the selection operation of the user.
S305, whether the user accepts or not.
And judging whether the user accepts seat recommendation, namely judging whether the selected seat of the user is consistent with the recommended seat. If the selected seat of the user is consistent with the recommended seat, the user receives seat recommendation, and S306 is executed; if the selected seat of the user is not consistent with the recommended seat, the user does not accept the seat recommendation, and S307 is executed.
And S306, determining the floating weight value of the seat.
If the user accepts the recommendation, the weight value of the seat floats, and the floating weight value can be calculated by the influence of the user when the floating weight value is 0.1, wherein 0.1 is a floating coefficient.
And S307, determining the seat descending weight value.
If the user does not accept the recommendation, and selects other seats manually, the seat score decreases, and the decreasing weight value can be calculated by the decreasing weight value of 0.15 × user influence, where 0.15 is a downward floating coefficient.
S308, whether the user manually selects the seat or not.
And judging whether the user manually selects the seat, and if the user manually selects the seat, uploading the seat weight value of the user manually selected seat.
And S309, determining the floating weight value of the manually selected seat.
The determination of the floating weight value of the manually selected seat can be seen in S306.
And S310, updating the seat weight value table.
And updating a seat weight value table in the photo hall according to the upward floating weight value and the downward falling weight value of the seat to be used as the next selected coordinate standard.
And S311, ending.
According to the technical scheme of the embodiment of the invention, whether the specific seat of the movie hall has the best movie watching effect or not is judged to be the maximum and accurate according to the watching experience of the user at each position. The problem that different film types (2D, 3D, IMAX and the like) are different in film watching experience at different positions can be effectively solved. To the exact difference of the specific studio, the specific seat. Even the unfavorable factors such as the position of the doorway and whether the air conditioner blows directly can be judged, and the optimal film watching seat of the rest seats of the film hall can be recommended really.
Example four
Fig. 4 is a schematic structural diagram of a position recommending apparatus according to a fourth embodiment of the present invention. The position recommendation device may be implemented in software and/or hardware, for example, the position recommendation device may be configured in a computer device. As shown in fig. 4, the apparatus includes a to-be-allocated position acquisition module 410, a target position determination module 420, and a response information generation module 430, where:
a to-be-allocated position obtaining module 410, configured to respond to the detected position recommendation request, and obtain a to-be-allocated position set corresponding to the position recommendation request;
a target position determining module 420, configured to determine a target recommended position corresponding to the position recommendation request according to a weight of each to-be-allocated position in the to-be-allocated position set, where the weight represents a recommended priority of the corresponding to-be-allocated position, and the weight is determined according to a historical selection state of the corresponding to-be-allocated position;
and the response information generating module 430 is configured to generate response information of the location recommendation request according to the target recommendation location for responding.
In the embodiment of the invention, the position to be allocated acquisition module responds to the detected position recommendation request to acquire a position set to be allocated corresponding to the position recommendation request; the target position determining module determines a target recommendation position corresponding to the position recommendation request according to the weight of each position to be distributed in the position set to be distributed, wherein the weight represents the recommended priority of the corresponding position to be distributed, and the weight is determined according to the historical selection state of the corresponding position to be distributed; and the response information generation module generates response information of the position recommendation request according to the target recommendation position to respond. The position weight is adjusted through the selection of the position by the user, and the position is recommended for the user according to the position weight, so that the position recommendation mode is suitable for areas with different playing types and different layouts, and the position recommendation effect is improved.
Optionally, on the basis of the foregoing scheme, the target position determining module 420 is specifically configured to:
acquiring the position recommendation quantity corresponding to the position recommendation request;
and performing reverse sequencing on the positions to be distributed according to the weight of the positions to be distributed, and sequentially acquiring the positions to be distributed with the position recommendation quantity according to the sequencing sequence to be used as target recommendation positions.
Optionally, on the basis of the foregoing scheme, the apparatus further includes a weight adjustment module, configured to:
and after response information of the position recommendation request is generated according to the target recommendation position for responding, acquiring a target selection position corresponding to the response information, and adjusting the weight of the target recommendation position according to the target selection position.
Optionally, on the basis of the above scheme, the weight adjusting module is specifically configured to:
acquiring a selection position identifier of a target selection position and a recommended position identifier of a target recommended position, and matching the selection position identifier with the recommended position identifier;
if the selected position identification is successfully matched with the recommended position identification, the weight of the target recommended position is adjusted up;
and if the matching of the selected position identification and the recommended position identification fails, the weight of the target recommended position is adjusted downwards.
Optionally, on the basis of the above scheme, the weight adjusting module is specifically configured to:
determining a weight up-regulation value of a target recommendation position according to a preset up-regulation coefficient and a user weight corresponding to the position recommendation request;
and adjusting the weight of the target recommendation position according to the weight up-adjustment value of the target recommendation position.
Optionally, on the basis of the above scheme, the weight adjusting module is specifically configured to:
determining a weight down-regulation value of a target recommendation position according to a preset down-regulation coefficient and a user weight corresponding to the position recommendation request;
and adjusting the weight of the target recommendation position downwards according to the weight adjustment value of the target recommendation position.
Optionally, on the basis of the foregoing scheme, the weight adjusting module is further configured to:
and if the matching of the selection position identification and the recommended position identification fails, the weight of the target selection position is adjusted up.
The position recommending device provided by the embodiment of the invention can execute the position recommending method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the executing method.
EXAMPLE five
Fig. 5 is a schematic structural diagram of a computer device according to a fifth embodiment of the present invention. FIG. 5 illustrates a block diagram of an exemplary computer device 512 suitable for use in implementing embodiments of the present invention. The computer device 512 shown in FIG. 5 is only an example and should not bring any limitations to the functionality or scope of use of embodiments of the present invention.
As shown in FIG. 5, computer device 512 is in the form of a general purpose computing device. Components of computer device 512 may include, but are not limited to: one or more processors 516, a system memory 528, and a bus 518 that couples the various system components including the system memory 528 and the processors 516.
Bus 518 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, and processor 516, or a local bus using any of a variety of bus architectures. By way of example, such architectures include, but are not limited to, Industry Standard Architecture (ISA) bus, micro-channel architecture (MAC) bus, enhanced ISA bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.
Computer device 512 typically includes a variety of computer system readable media. Such media can be any available media that is accessible by computer device 512 and includes both volatile and nonvolatile media, removable and non-removable media.
The system memory 528 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM)530 and/or cache memory 532. The computer device 512 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage 534 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 5, and commonly referred to as a "hard drive"). Although not shown in FIG. 5, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 518 through one or more data media interfaces. Memory 528 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.
A program/utility 540 having a set (at least one) of program modules 542, including but not limited to an operating system, one or more application programs, other program modules, and program data, may be stored in, for example, the memory 528, each of which examples or some combination may include an implementation of a network environment. The program modules 542 generally perform the functions and/or methods of the described embodiments of the invention.
The computer device 512 may also communicate with one or more external devices 514 (e.g., keyboard, pointing device, display 524, etc.), with one or more devices that enable a user to interact with the computer device 512, and/or with any devices (e.g., network card, modem, etc.) that enable the computer device 512 to communicate with one or more other computing devices. Such communication may occur via input/output (I/O) interfaces 522. Also, computer device 512 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network such as the Internet) via network adapter 520. As shown, the network adapter 520 communicates with the other modules of the computer device 512 via the bus 518. It should be appreciated that although not shown, other hardware and/or software modules may be used in conjunction with the computer device 512, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
The processor 516 executes various functional applications and data processing by running programs stored in the system memory 528, for example, to implement the location recommendation method provided by the embodiment of the present invention, the method includes:
responding to the detected position recommendation request, and acquiring a position set to be allocated corresponding to the position recommendation request;
determining a target recommendation position corresponding to the position recommendation request according to the weight of each position to be distributed in the position set to be distributed, wherein the weight represents the recommended priority of the corresponding position to be distributed, and the weight is determined according to the historical selection state of the corresponding position to be distributed;
and generating response information of the position recommendation request according to the target recommendation position for responding.
Of course, those skilled in the art will understand that the processor may also implement the technical solution of the location recommendation method provided in any embodiment of the present invention.
EXAMPLE six
An embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements a position recommendation method provided in an embodiment of the present invention, where the method includes:
responding to the detected position recommendation request, and acquiring a position set to be allocated corresponding to the position recommendation request;
determining a target recommendation position corresponding to the position recommendation request according to the weight of each position to be distributed in the position set to be distributed, wherein the weight represents the recommended priority of the corresponding position to be distributed, and the weight is determined according to the historical selection state of the corresponding position to be distributed;
and generating response information of the position recommendation request according to the target recommendation position for responding.
Of course, the computer program stored on the computer-readable storage medium provided by the embodiments of the present invention is not limited to the method operations described above, and may also perform operations related to the position recommendation method provided by any embodiments of the present invention.
Computer storage media for embodiments of the invention may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims (10)

1. A method for location recommendation, comprising:
responding to the detected position recommendation request, and acquiring a position set to be allocated corresponding to the position recommendation request;
determining a target recommendation position corresponding to the position recommendation request according to the weight of each position to be distributed in the position set to be distributed, wherein the weight represents the recommended priority of the corresponding position to be distributed, and the weight is determined according to the historical selection state of the corresponding position to be distributed;
and generating response information of the position recommendation request according to the target recommendation position to respond.
2. The method according to claim 1, wherein the determining a target recommended position corresponding to the position recommendation request according to the weight of each to-be-allocated position in the to-be-allocated position set comprises:
acquiring the position recommendation quantity corresponding to the position recommendation request;
and performing reverse sequencing on the positions to be distributed according to the weight of the positions to be distributed, and sequentially acquiring the positions to be distributed of the position recommendation quantity according to the sequencing sequence to be used as the target recommendation positions.
3. The method of claim 1, further comprising, after responding by generating response information of the location recommendation request according to the target recommendation location:
and acquiring a target selection position corresponding to the response information, and adjusting the weight of the target recommendation position according to the target selection position.
4. The method of claim 3, wherein the adjusting the weight of the target recommended position according to the target selection position comprises:
acquiring a selection position identifier of the target selection position and a recommended position identifier of the target recommended position, and matching the selection position identifier with the recommended position identifier;
if the selected position identification is successfully matched with the recommended position identification, the weight of the target recommended position is adjusted up;
and if the matching of the selected position identification and the recommended position identification fails, the weight of the target recommended position is adjusted downwards.
5. The method of claim 4, wherein the up-adjusting the weight of the target recommendation location comprises:
determining a weight up-regulation value of the target recommendation position according to a preset up-regulation coefficient and a user weight corresponding to the position recommendation request;
and adjusting the weight of the target recommendation position according to the weight up-adjustment value of the target recommendation position.
6. The method of claim 4, wherein the adjusting the weight of the target recommended position downward comprises:
determining a weight down-regulation value of the target recommendation position according to a preset down-regulation coefficient and a user weight corresponding to the position recommendation request;
and adjusting the weight of the target recommendation position downwards according to the weight adjustment value of the target recommendation position.
7. The method of claim 4, further comprising:
and if the matching of the selection position identification and the recommended position identification fails, the weight of the target selection position is adjusted up.
8. A position recommendation device, comprising:
the device comprises a to-be-distributed position acquisition module, a position recommendation module and a position distribution module, wherein the to-be-distributed position acquisition module is used for responding to a detected position recommendation request and acquiring a to-be-distributed position set corresponding to the position recommendation request;
a target position determining module, configured to determine a target recommended position corresponding to the position recommendation request according to a weight of each to-be-allocated position in the to-be-allocated position set, where the weight represents a recommended priority of the corresponding to-be-allocated position, and the weight is determined according to a historical selection state of the corresponding to-be-allocated position;
and the response information generation module is used for generating the response information of the position recommendation request according to the target recommendation position and responding.
9. A computer device, the device comprising:
one or more processors;
storage means for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the location recommendation method of any one of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the position recommendation method according to any one of claims 1-7.
CN202010244933.0A 2020-03-31 2020-03-31 Position recommendation method, device, equipment and storage medium Pending CN113468438A (en)

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