CN113239292A - Information recommendation method and device - Google Patents
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- CN113239292A CN113239292A CN202110432792.XA CN202110432792A CN113239292A CN 113239292 A CN113239292 A CN 113239292A CN 202110432792 A CN202110432792 A CN 202110432792A CN 113239292 A CN113239292 A CN 113239292A
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Abstract
The embodiment of the invention provides an information recommendation method and device, wherein the method comprises the following steps: acquiring real-time position information of a target user; judging whether the target user is located in a specified area range or not according to the real-time position information; when the target user is located in the designated area range, acquiring user preference information and/or related service information corresponding to the target user; and recommending information to the target user by combining the real-time position information, the user preference information and/or the related service information. Through the embodiment of the invention, the personalized customized service is provided for each user, the accuracy of information recommendation is improved, the use efficiency of the user is improved, and the use experience of the user is greatly facilitated.
Description
Technical Field
The present invention relates to the field of operation services, and in particular, to a method and an apparatus for information recommendation.
Background
In recent years, effective campus management has become an important means for promoting the health development of a campus, and with the continuous development of the campus, the traditional management mode is not suitable for the requirement of rapid development of the campus. The construction of wisdom garden is not only scientific and technological development's must, and informationization, intellectuality, wisdom are in bringing the great progress of management for the garden, and originally the garden management operation and for the angle that the park enterprise provides high-quality service that parks in, the park enterprise provides high-quality garden service through advanced scientific and technological product, also has brought the huge change of life style for the personnel who live in the garden and work simultaneously.
With the development and improvement of the park economy, the range of park services is continuously expanded. For park-resident enterprises and enterprise-related employees, a park can provide a large amount of personalized services to improve user satisfaction with the overall park service.
The intelligent park platform in the prior art ensures the functional requirements of flexibility, change and expansion of subsequent services through an information consultation and release platform integrating information such as park dynamics, park management, property handling, enterprise office, life information and the like, and provides all-round personalized services for park users. However, due to the diversified characteristics of users in a park, various different requirements also exist for services, and personalized services provided by the existing park can only be recommended according to the registration information of the users, so that the accuracy is not high, and the personalized customized services cannot be provided for each user well.
Disclosure of Invention
In view of the above, a method and apparatus are proposed to provide an information recommendation that overcomes or at least partially solves the above mentioned problems, comprising:
an information recommendation method, the method comprising:
acquiring real-time position information of a target user;
judging whether the target user is located in a specified area range or not according to the real-time position information;
when the target user is located in the designated area range, acquiring user preference information and/or related service information corresponding to the target user;
and recommending information to the target user by combining the real-time position information, the user preference information and/or the related service information.
Optionally, the performing information recommendation to the target user in combination with the real-time location information, the user preference information, and/or the related service information includes:
acquiring one or more candidate information to be recommended associated with the specified area range;
determining first target information to be recommended from the one or more candidate information to be recommended according to the real-time position information and the user preference information;
and recommending information to the target user according to the first target information to be recommended.
Optionally, the recommending information to the target user according to the first target information to be recommended includes:
obtaining screening information of multiple dimensions;
screening the first target information to be recommended according to the screening information of the multiple dimensions;
and recommending information to the target user according to the screened first target information to be recommended.
Optionally, the screening information of multiple dimensions includes any one or more of the following:
time information, popularity information, user historical behavior information.
Optionally, the performing information recommendation to the target user in combination with the real-time location information, the user preference information, and/or the related service information includes:
judging whether the related service information is matched with the real-time position information;
when the related service information is matched with the real-time position information, generating second target information to be recommended according to the related service information;
and recommending information to the target user according to the second target information to be recommended.
Optionally, before the information recommendation is performed to the target user in combination with the real-time location information, the user preference information, and/or the related service information, the method further includes:
acquiring current time information;
and when the current time information is within a preset time range, performing information recommendation to the target user by combining the real-time position information, the user preference information and/or the related service information.
Optionally, the method further comprises:
and generating navigation route information by combining the real-time position information.
The invention also provides an information recommendation device, which comprises:
the real-time position information acquisition module is used for acquiring the real-time position information of the target user;
the specified area range judging module is used for judging whether the target user is positioned in a specified area range according to the real-time position information;
the information acquisition module is used for acquiring user preference information and/or related service information corresponding to the target user when the target user is positioned in the specified area range;
and the information recommendation module is used for recommending information to the target user by combining the real-time position information, the user preference information and/or the related service information.
Optionally, the information recommendation module includes:
the candidate information to be recommended acquisition submodule is used for acquiring one or more candidate information to be recommended associated with the specified area range;
the first target information to be recommended acquisition submodule is used for determining first target information to be recommended from the one or more candidate information to be recommended according to the real-time position information and the user preference information;
and the first target information to be recommended recommending submodule is used for recommending information to the target user according to the first target information to be recommended.
Optionally, the first target information to be recommended recommending sub-module includes:
the information screening unit is used for acquiring screening information of multiple dimensions;
the first target information to be recommended screening unit is used for screening the first target information to be recommended according to the screening information with multiple dimensions;
and the first target information to be recommended recommending unit is used for recommending information to the target user according to the screened first target information to be recommended.
Optionally, the screening information of multiple dimensions includes any one or more of the following:
time information, popularity information, user historical behavior information.
Optionally, the information recommendation module further includes:
the information matching submodule is used for judging whether the related service information is matched with the real-time position information;
the second target information to be recommended acquisition submodule is used for generating second target information to be recommended according to the relevant service information when the relevant service information is matched with the real-time position information;
and the second target information to be recommended recommending submodule is used for recommending information to the target user according to the second target information to be recommended.
Optionally, the information recommendation module further includes:
the time information acquisition submodule is used for acquiring current time information;
and the time information combination recommendation sub-module is used for executing the combination of the real-time position information, the user preference information and/or the related service information and recommending information to the target user when the current time information is within a preset time range.
Optionally, the apparatus further comprises:
and the navigation route information generating module is used for generating navigation route information by combining the real-time position information.
The invention also discloses an electronic device, which comprises a processor, a memory and a computer program stored on the memory and capable of running on the processor, wherein the computer program realizes the information recommendation method when being executed by the processor.
The invention also discloses a computer readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the method of information recommendation as described above.
The embodiment of the invention has the following advantages:
in the embodiment of the invention, the real-time position information of the target user is acquired by acquiring the real-time position information of the target user, when the target user is positioned in the range of the designated area, the user preference information and/or the related service information corresponding to the target user are acquired, and information recommendation is carried out on the target user by combining the real-time position information, the user preference information and/or the related service information, so that personalized customized service is provided for each user, the accuracy of information recommendation is improved, the use efficiency of the user is improved, and the use experience of the user is greatly facilitated.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings needed to be used in the description of the present invention will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
Fig. 1 is a schematic structural diagram of a campus operation service platform according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating steps of a method for information recommendation according to an embodiment of the present invention;
FIG. 3 is a flow chart illustrating steps of another method for information recommendation provided by an embodiment of the present invention;
FIG. 4 is a flow chart illustrating steps of another method for information recommendation provided by an embodiment of the present invention;
fig. 5 is a block diagram of an information recommendation apparatus according to an embodiment of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The smart park is an advanced park which integrates new generation information communication technologies such as internet of things, big data, cloud computing and space physics, can realize timely, interactive and integrated information perception, transmission and processing in a region, and has the advantages of industrial gathering capacity, enterprise economic competitiveness and sustainable development. The smart campus may include a smart campus platform.
Wisdom garden platform mainly contains three big modules: the intelligent application system, the green energy-saving management and the government affair office service platform. The intelligent park information service platform is oriented to objects including park managers, operators, government departments, enterprises and owners. The diversification of users has different requirements on the platform, so the analysis of the requirements of different users and the research of the object-oriented and field of various applications are carried out, and the realization of the customization of the applications through the unified service management platform is the key that can be finally oriented to various service objects.
In order to realize application customization, the invention is based on an all-round park operation service platform, as shown in fig. 1, and comprises an easy-to-recruit system, a mid-pull service platform App (iOS/android), enterprise services, property services, an operation background, an intelligent party building, and an intelligent command center resource integration and butt joint.
The park operation service platform adopts a high availability technology to ensure that the system can stably and uninterruptedly operate for a long time, adopts a popular, mature, stable and advanced system software platform such as an operating system, a database, a network protocol, middleware and the like, and can timely and quickly recover when a network, a host, the database or an application system has problems, thereby ensuring the stability of the system; in the design of an application system, various possible conditions are fully considered, corresponding technical measures are taken, system faults are reduced as far as possible, and the system has a monitoring function on main links.
In the aspect of a logic structure, a system of a park operation service platform consists of a business application and a basic database. Meanwhile, the three parts are respectively supported by park service, park recruitment, customer management, system analysis, system setting, general functions and a technical platform database. They together form an organic whole, which not only ensures the individuation and depth of the service function, but also provides the open and expandable general function to meet the future development.
The system of the park operation service platform can be composed of an operation service management system and a user side APP which are arranged on the park operation service platform. The individual service management system is a management platform on the system side, manages and dispatches various relevant operating service facilities in the park in a unified manner, analyzes user requirements, provides corresponding individual services, can form information interaction with the user side APP through a network, and provides data support for the user side APP.
The user side APP is a universal information display, interaction and communication platform in the park provided by the park operation service platform, the information display, interaction and communication platform is downloaded by a user and installed on a user mobile phone or a PAD, and the user registers the right and then uses corresponding functions according to the self right. Various information shows in the garden can be checked, interactive entertainment can be carried out, and various problems can be fed back. The user side APP is a window for communication between the system and the user.
Referring to fig. 2, a flowchart illustrating steps of a method for recommending information according to an embodiment of the present invention is shown, which may specifically include the following steps:
the target users may be users who register and use the intelligent campus platform, such as people who live and work in the intelligent campus; target user's real-time positional information can obtain through the location, if provide through wisdom garden platform, supply the inside user side APP that uses of wisdom garden, on the basis of obtaining user's authorization, the positional information of location user side APP carries out accurate location.
for more precise recommendation service, before recommendation, it is required to determine whether the target user is located in a specified area range, where the specified area range is a closed area range and can be divided by coordinates, such as a smart campus. Specifically, when the information to be recommended is information inside the smart campus, it is necessary to determine whether the target user enters the smart campus, that is, to confirm whether the user is within the general range of the campus service.
In practical application, after the real-time position information of the target user is obtained, the position information positioned by the user side APP and the geographic range of the intelligent park can be determined, and whether the target user enters the fence range or not is judged to determine whether the target user is located in the range of the specified intelligent park or not through the geographic fence set by the perimeter of the park.
the user preference information is the arrangement of the target user on the selectable commodity combinations according to the own will, and is subjective, and the user preference information of different users is different. The related service information may be various user-related information such as a service item applied by the target user on the user side APP, and logistics information of the user.
When the target user is determined to be within the designated range, in order to make the recommended information more meet the requirements of the target user, the requirements of the target user may be collected, that is, user preference information corresponding to the target user and/or relevant server information corresponding to the target user may be obtained.
Wherein, the user preference information can be obtained from two angles, one angle is used for guiding the user to set which contents are preferred; another perspective is to determine which content the user prefers through the user's browsing behavior.
In particular, the user may be guided to fill in the relevant preference information when the user registers the user side APP. For example, a user may set his preferences in three steps: firstly, selecting the sex of the user; secondly, selecting an age interval; and thirdly, selecting an interest range from the classified interests.
On the basis of the related preference information set by the user, it is possible to know which contents the user prefers, but in practical applications, the related information set by the user himself is not necessarily accurate, and the selected attribute may not completely reflect the expected expectation of the user. A second angle can be introduced on the basis of the relevant preference information set by the user: and judging the user preference according to the user behavior.
Specifically, in the process that the target user uses the smart park user side APP, after obtaining user consent, all behaviors of the target user on the smart park platform or a part of user behaviors authorized by the target user can be collected.
And the user preference information can be more accurately obtained by combining the related preference information set by the target user and the user behavior information of the target user on the intelligent park platform.
And 204, recommending information to the target user by combining the real-time position information, the user preference information and/or the related service information.
In practical application, the recommended information may be recommended by combining the real-time location information and the user preference information, or by combining the real-time location information and the related service information, or by combining the real-time location information, the user preference information, and the related service information.
For example, when there is a preference to purchase a snack in the user preference information of the target user, the user may be recommended selling information of retail stores near the user's current location. For another example, when the related service information corresponding to the target user includes express delivery information that has not been taken, the logistics express delivery information may be recommended to the target user when the target user moves to a position near an express delivery taking point.
When information recommendation is performed, a target user can obtain recommended information from a user side APP, the information recommendation can be displayed through a "recommendation" page of the user side APP, and can also be prompted through vibration, ringing and other manners, and various recommendation manners can be provided, which is not limited in the embodiment of the present invention.
In order to improve the use efficiency of the user, when recommendation is performed through the recommendation page display of the user side APP, the content can be divided into multiple layers in the recommendation page to be presented.
The first is the topic. Through the rotation of the Banner graphs, a plurality of topics can be presented, and one-key access of the user is achieved.
And secondly, the classification navigation. The navigation comprises a plurality of categories, contents of a certain category are clicked, and the personalized service management system recommends related contents according to user preference setting.
Guess you like again. And recommending the content to the user at the most obvious position according to the user preference setting and the platform dimension. If the user does not like, the user can click 'change a batch' to replace; if more content is desired, the "more" link can be clicked to see more.
And finally, classifying recommendation. When the user scrolls downwards, the corresponding interest categories in the preference setting can be seen, a plurality of contents can be recommended correspondingly, and the functions of changing batches, increasing more and the like are provided.
In an embodiment of the present invention, information recommendation may be performed in conjunction with time, and before step 204, the following sub-steps are further included:
substep 11: acquiring current time information;
substep 12: and when the current time information is within a preset time range, performing information recommendation to the target user by combining the real-time position information, the user preference information and/or the related service information.
Before information recommendation is carried out on a target user, recommendation can be carried out in combination with time information in order to be close to the actual requirements of the user. The predetermined time range is a time interval, such as eight am to nine am.
Specifically, when the target user has related service information such as logistics express delivery and the like, the target user can be reminded of the logistics express delivery information in time when the target user enters the intelligent park range in the morning on duty; or within a set time range, when the user moves to a position near the express delivery receiving point, the user is reminded to receive the express delivery.
In another embodiment of the present invention, the method may further include the steps of:
and generating navigation route information by combining the real-time position information.
After the target user obtains the information to be recommended, the real-time position information of the target user can be combined with the position of the recommended information, and navigation route information is generated through the user side APP, so that the target user can use the information conveniently. For example, when the user acquires the park public service, a reasonable route can be planned according to the service items applied by the user and by combining the user position information.
In the embodiment of the invention, the real-time position information of the target user is acquired by acquiring the real-time position information of the target user, when the target user is positioned in the range of the designated area, the user preference information and/or the related service information corresponding to the target user are acquired, and information recommendation is carried out on the target user by combining the real-time position information, the user preference information and/or the related service information, so that personalized customized service is provided for each user, the accuracy of information recommendation is improved, the use efficiency of the user is improved, and the use experience of the user is greatly facilitated.
Referring to fig. 3, a flowchart illustrating steps of another information recommendation method according to an embodiment of the present invention is shown, which may specifically include the following steps:
the candidate information to be recommended is all service information in a specified area range, and can be all service information in the intelligent park, such as food, entertainment, service and the like in the intelligent park. The candidate information to be recommended is position information including the candidate information to be recommended.
In order to ensure that the recommended information is within the specified range, before information recommendation is performed, one or more pieces of candidate information to be recommended with the position information within the specified area range can be acquired according to the position information of the candidate information to be recommended.
when a plurality of candidate information to be recommended exist, if the preference information of the user exists for purchasing snacks, the information of the newly arrived snacks of the campus retail store can be recommended to the user. In order to more accurately recommend the selling information of the nearby retail stores to the user, the user can be guided to go to the retail stores for shopping when the target user moves to the vicinity of the park retail stores.
And step 306, recommending information to the target user according to the first target information to be recommended.
Before information recommendation, in order to recommend content infinitely close to user preferences to a user, first target information to be recommended may be filtered.
In an embodiment of the present invention, step 306 includes the following sub-steps:
a substep 21 of obtaining screening information of a plurality of dimensions;
the filtering information of multiple dimensions may be any one or more of time information, popularity information and historical behavior information.
Substep 22, filtering the first target information to be recommended according to the filtering information of the plurality of dimensions;
in practical application, because a content platform facing a terminal user can update a lot of contents every day, the latest contents can be screened out by screening according to the time information dimension.
When new contents are more, in order to recommend information to a user in a limited screen space, the contents can be sorted according to the popularity information dimension, and the contents which are most popular with people are screened out. The sorting rule can be divided into browsing amount, evaluation number, sharing amount and the like. As for the selection, it is also determined according to the location and characteristics of the product, and also according to the level of company technology.
Because other users like and have recent contents, which are not necessarily liked by the target user, the content can be further filtered according to the historical behavior information of the user in order to be closer to the preference of the user.
The first target information to be recommended after being screened is the information which accords with the preference of the user, and can be the most popular information or the most popular information.
And a substep 23, recommending information to the target user according to the screened first target information to be recommended.
According to the embodiment of the invention, the real-time position information of the target user is obtained by obtaining the real-time position information of the target user, when the target user is located in the range of the designated area, the user preference information corresponding to the target user is obtained, one or more candidate information to be recommended associated with the range of the designated area are obtained, the first target information to be recommended is determined from the one or more candidate information to be recommended according to the real-time position information and the user preference information, and the information recommendation is realized by combining the user preference information and the real-time position information of the user according to the first target information to be recommended, so that the accuracy of information recommendation is improved, the use efficiency of the user is improved, and the use experience of the user is greatly facilitated.
Referring to fig. 4, a flowchart illustrating steps of another information recommendation method according to an embodiment of the present invention is shown, which may specifically include the following steps:
in practical application, whether the real-time position information of the target user is near the related server information can be judged, for example, when the user has an express to be taken, whether the real-time position of the user is near an express taking point can be judged, and if the user is near the express taking point, the real-time position of the user is matched with the express taking point.
It should be noted that, there may be various ways for determining whether the related service information matches the real-time location information, and the embodiment of the present invention is not limited thereto.
for the convenience of the user, when the real-time location of the target user is matched with the related service information, that is, when the user is near the related service corresponding to the user, the related service information may be generated into target information to be recommended, so as to recommend the target information to the user. For example, when the user moves to the vicinity of the express logistics pickup point, express logistics information may be generated to remind the user of the nearby process.
And 406, recommending information to the target user according to the second target information to be recommended.
In the embodiment of the invention, the real-time position information of the target user is acquired by acquiring the real-time position information of the target user, when the target user is positioned in the range of the designated area, the relevant service information corresponding to the target user is acquired, whether the relevant service information is matched with the real-time position information is judged, when the relevant service information is matched with the real-time position information, the second target information to be recommended is generated according to the relevant service information, and according to the second target information to be recommended, the user recommendation is realized by combining the real-time position information of the user and the relevant service information, the accuracy of information recommendation is improved, the use efficiency of the user is improved, and the use experience of the user is greatly facilitated.
It should be noted that, for simplicity of description, the method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the illustrated order of acts, as some steps may occur in other orders or concurrently in accordance with the embodiments of the present invention. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred and that no particular act is required to implement the invention.
Referring to fig. 5, a block diagram of a structure of an information recommendation apparatus according to an embodiment of the present invention is shown, which may specifically include the following modules:
a real-time location information obtaining module 501, configured to obtain real-time location information of a target user;
a designated area range determining module 502, configured to determine whether the target user is located within a designated area range according to the real-time location information;
an information obtaining module 503, configured to obtain user preference information and/or related service information corresponding to the target user when the target user is located within the specified area range;
an information recommendation module 504, configured to perform information recommendation to the target user in combination with the real-time location information, the user preference information, and/or the related service information.
In an embodiment of the present invention, the information recommending module 504 includes:
the candidate information to be recommended acquisition submodule is used for acquiring one or more candidate information to be recommended associated with the specified area range;
the first target information to be recommended acquisition submodule is used for determining first target information to be recommended from the one or more candidate information to be recommended according to the real-time position information and the user preference information;
and the first target information to be recommended recommending submodule is used for recommending information to the target user according to the first target information to be recommended.
In an embodiment of the present invention, the first target information to be recommended recommending sub-module includes:
the information screening unit is used for acquiring screening information of multiple dimensions;
the first target information to be recommended screening unit is used for screening the first target information to be recommended according to the screening information with multiple dimensions;
and the first target information to be recommended recommending unit is used for recommending information to the target user according to the screened first target information to be recommended.
Wherein the screening information of the multiple dimensions comprises any one or more of the following items:
time information, popularity information, user historical behavior information.
In an embodiment of the present invention, the information recommending module 504 further includes:
the information matching submodule is used for judging whether the related service information is matched with the real-time position information;
the second target information to be recommended acquisition submodule is used for generating second target information to be recommended according to the relevant service information when the relevant service information is matched with the real-time position information;
and the second target information to be recommended recommending submodule is used for recommending information to the target user according to the second target information to be recommended.
In an embodiment of the present invention, the information recommendation module 504 further includes the following sub-modules:
the time information acquisition submodule is used for acquiring current time information;
and the time information combination recommendation sub-module is used for executing the combination of the real-time position information, the user preference information and/or the related service information and recommending information to the target user when the current time information is within a preset time range.
In an embodiment of the present invention, the following modules may be further included:
and the navigation route information generating module is used for generating navigation route information by combining the real-time position information.
In the embodiment of the invention, the real-time position information of the target user is acquired by acquiring the real-time position information of the target user, when the target user is positioned in the range of the designated area, the user preference information and/or the related service information corresponding to the target user are acquired, and information recommendation is carried out on the target user by combining the real-time position information, the user preference information and/or the related service information, so that personalized customized service is provided for each user, the accuracy of information recommendation is improved, the use efficiency of the user is improved, and the use experience of the user is greatly facilitated.
In an embodiment of the present invention, an electronic device is further provided, which may include a processor, a memory, and a computer program stored on the memory and capable of running on the processor, and when executed by the processor, the computer program implements the method for recommending information as above.
An embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the method for recommending information as above is implemented.
For the device embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, refer to the partial description of the method embodiment.
The embodiments in the present specification are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, apparatus, or computer program product. Accordingly, embodiments of 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, embodiments of 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.
Embodiments of the present invention are described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (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 terminal to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal, 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 terminal 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 terminal to cause a series of operational steps to be performed on the computer or other programmable terminal to produce a computer implemented process such that the instructions which execute on the computer or other programmable terminal provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications of these embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the embodiments of the invention.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or terminal that comprises the element.
The method and the device for information recommendation provided above are introduced in detail, and a specific example is applied in this document to illustrate the principle and the implementation of the present invention, and the above description of the embodiment is only used to help understanding the method and the core idea of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (10)
1. A method for information recommendation, the method comprising:
acquiring real-time position information of a target user;
judging whether the target user is located in a specified area range or not according to the real-time position information;
when the target user is located in the designated area range, acquiring user preference information and/or related service information corresponding to the target user;
and recommending information to the target user by combining the real-time position information, the user preference information and/or the related service information.
2. The method of claim 1, wherein the performing information recommendation to the target user in combination with the real-time location information, the user preference information and/or the related service information comprises:
acquiring one or more candidate information to be recommended associated with the specified area range;
determining first target information to be recommended from the one or more candidate information to be recommended according to the real-time position information and the user preference information;
and recommending information to the target user according to the first target information to be recommended.
3. The method according to claim 2, wherein the recommending information to the target user according to the first target information to be recommended comprises:
obtaining screening information of multiple dimensions;
screening the first target information to be recommended according to the screening information of the multiple dimensions;
and recommending information to the target user according to the screened first target information to be recommended.
4. The method of claim 3, wherein the screening information for the plurality of dimensions comprises any one or more of:
time information, popularity information, user historical behavior information.
5. The method of claim 1, wherein the performing information recommendation to the target user in combination with the real-time location information, the user preference information and/or the related service information comprises:
judging whether the related service information is matched with the real-time position information;
when the related service information is matched with the real-time position information, generating second target information to be recommended according to the related service information;
and recommending information to the target user according to the second target information to be recommended.
6. The method of claim 1, further comprising, before said recommending information to the target user in combination with the real-time location information, the user preference information, and/or the related service information:
acquiring current time information;
and when the current time information is within a preset time range, performing information recommendation to the target user by combining the real-time position information, the user preference information and/or the related service information.
7. The method of claim 1, further comprising:
and generating navigation route information by combining the real-time position information.
8. An apparatus for information recommendation, the apparatus comprising:
the real-time position information acquisition module is used for acquiring the real-time position information of the target user;
the specified area range judging module is used for judging whether the target user is positioned in a specified area range according to the real-time position information;
the information acquisition module is used for acquiring user preference information and/or related service information corresponding to the target user when the target user is positioned in the specified area range;
and the information recommendation module is used for recommending information to the target user by combining the real-time position information, the user preference information and/or the related service information.
9. An electronic device, comprising a processor, a memory, and a computer program stored on the memory and capable of running on the processor, the computer program, when executed by the processor, implementing a method of information recommendation according to 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 a method of information recommendation according to any one of claims 1 to 7.
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| CN202110432792.XA CN113239292A (en) | 2021-04-21 | 2021-04-21 | Information recommendation method and device |
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| CN202110432792.XA CN113239292A (en) | 2021-04-21 | 2021-04-21 | Information recommendation method and device |
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| CN115648847A (en) * | 2022-10-26 | 2023-01-31 | 东莞市皓龙激光科技有限公司 | Laser decoration method, system and storage medium |
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