CN109474702B - Information recommendation method and device, computer equipment and product - Google Patents
Information recommendation method and device, computer equipment and product Download PDFInfo
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- CN109474702B CN109474702B CN201811580485.0A CN201811580485A CN109474702B CN 109474702 B CN109474702 B CN 109474702B CN 201811580485 A CN201811580485 A CN 201811580485A CN 109474702 B CN109474702 B CN 109474702B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72448—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
- H04M1/72457—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions according to geographic location
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/52—Network services specially adapted for the location of the user terminal
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/55—Push-based network services
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72403—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality
- H04M1/72406—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality by software upgrading or downloading
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Abstract
The embodiment of the invention discloses an information recommendation method, an information recommendation device, computer equipment and a product, which can be used for recommending relevant information aiming at the real-time geographic position of a user and have pertinence. The method comprises the following steps: acquiring user information sent by a mobile terminal, wherein the user information comprises the use information of an APP installed on the mobile terminal when the user is at the current geographic position; determining the behavior habit of the user according to the APP use information installed on the mobile terminal; generating target recommendation information according to the current geographic position and the behavior habit; and sending the target recommendation information to the mobile terminal so that the mobile terminal displays the target recommendation information.
Description
Technical Field
The present invention relates to the field of computer technologies, and in particular, to an information recommendation method and apparatus, a computer device, and a product.
Background
The total number of mobile phone users of three operators in China is 14.3 hundred million, and the total number of the mobile phone users is increased by 9150 ten million in 1-7 months. The total number of mobile broadband users (i.e., 3G and 4G users) is 12.01 billion users, accounting for 80.5% of mobile phone users. The mobile internet access flow of each user in the month of 10 months reaches 3.25G, the mobile internet access flow of each user in the same year does not reach 2G, and the mobile internet access flow increases by 187.8 percent on year-by-year basis. Such high access rate means massive users, under this kind of circumstances, the action of analysis user is done accurate marketing, propelling movement, to a company, seems to be especially important, who can be better grasp user's use habit, aligns and likes the propelling movement, just means who can acquire more users. In a traditional scheme, recommendation is usually performed on the APP using condition based on daily use of a user, but the recommendation mode is relatively extensive and has no pertinence.
Disclosure of Invention
In view of the above technical problems, embodiments of the present invention provide an information recommendation method, apparatus, computer device and product, which can recommend relevant information according to a real-time geographic location of a user, and are targeted.
A first aspect of an embodiment of the present invention provides an information recommendation method, including:
acquiring user information sent by a mobile terminal, wherein the user information comprises the use information of an APP installed on the mobile terminal when the user is at the current geographic position;
determining the behavior habit of the user according to the APP use information installed on the mobile terminal;
generating target recommendation information according to the current geographic position and the behavior habit;
and sending the target recommendation information to the mobile terminal so that the mobile terminal displays the target recommendation information.
Optionally, the usage information of the APPs installed by the mobile terminal includes the number of times of usage of each APP installed by the user in a preset time period of the mobile terminal, and content usage information of each APP by the user in the preset time period;
the determining the behavior habit of the user according to the APP usage information installed on the mobile terminal includes:
and determining the behavior habits of the user in the preset time period according to the use times of the APPs in the preset time period and the content use information of the APP by the user in the preset time period.
Optionally, the determining, according to the number of times of use of each APP in a preset time period and the content use information of each APP by the user in the preset time period, the behavior habit of the user in the preset time period includes:
determining target APPs with the use times arranged at the front N positions in the preset time period according to the use times of the APPs in the preset time period, wherein N is greater than or equal to 1;
determining the content use information of the target APP by the user from the content use information of each APP;
and determining the behavior habit of the user in the preset time period according to the content use information of the target APP.
Optionally, the generating target recommendation information according to the geographic location information of the current geographic location and the behavior habit includes:
acquiring corresponding recommended content according to the behavior habit;
and taking the recommended content as the recommended information of the user at the current geographic position to generate the target recommended information.
Optionally, the sending the target recommendation information to the mobile terminal to enable the mobile terminal to display the target recommendation information includes:
the target recommendation information is sent to the mobile terminal, so that the mobile terminal displays the target recommendation information on a negative screen of the mobile terminal, wherein the negative screen is the leftmost screen or the rightmost screen of a desktop of the mobile terminal.
Optionally, the user information further includes a user identifier and a terminal identifier of the mobile terminal, where the user identifier is used to uniquely identify the user, and after the target recommendation information is generated according to the current geographic location and the behavior habit, the method further includes:
and performing associated storage on the target recommendation information, the user identification, the terminal identification of the mobile terminal and the position information of the current geographic position.
Optionally, after the target recommendation information is sent to the mobile terminal so that the mobile terminal displays the target recommendation information, the method includes:
when the user information of the mobile terminal is obtained again, the real-time geographic position of the mobile terminal is obtained;
according to the user identification and the terminal identification contained in the mobile terminal user information, the target recommendation information corresponding to each geographic position corresponding to the user identification is obtained from the associated storage;
and determining recommendation information corresponding to the real-time geographic position of the mobile terminal from the target recommendation information corresponding to each geographic position for recommendation.
A second aspect of an embodiment of the present invention provides an information recommendation apparatus, including:
the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring user information sent by a mobile terminal, and the user information comprises the use information of an APP installed on the mobile terminal when the user is at the current geographic position;
the determining module is used for determining the behavior habit of the user according to the using information of the APP installed on the mobile terminal;
the generation module is used for generating target recommendation information according to the current geographic position and the behavior habit;
and the sending module is used for sending the target recommendation information to the mobile terminal so that the mobile terminal can display the target recommendation information.
Optionally, the usage information of the APPs installed by the mobile terminal includes the number of times of usage of each APP installed by the user in a preset time period of the mobile terminal, and content usage information of each APP by the user in the preset time period;
the determining module is configured to determine the behavior habit of the user according to the usage information of the APP installed in the mobile terminal, and specifically includes:
the determining module is used for determining the behavior habits of the user in the preset time period according to the use times of the APPs in the preset time period and the content use information of the APPs by the user in the preset time period.
Optionally, the determining module is configured to determine the behavior habit of the user in the preset time period according to the number of times of use of each APP in the preset time period and the content use information of the user for each APP in the preset time period, and specifically includes:
the determining module is specifically configured to:
determining target APPs with the use times arranged at the front N positions in the preset time period according to the use times of the APPs in the preset time period, wherein N is greater than or equal to 1;
determining the content use information of the target APP by the user from the content use information of each APP;
and determining the behavior habit of the user in the preset time period according to the content use information of the target APP.
Optionally, the generating module is configured to generate the target recommendation information according to the geographic location information of the current geographic location and the behavior habit, and specifically includes:
the generation module is configured to:
acquiring corresponding recommended content according to the behavior habit;
and taking the recommended content as the recommended information of the user at the current geographic position to generate the target recommended information.
Optionally, the sending module is configured to send the target recommendation information to the mobile terminal, so that the mobile terminal displays the target recommendation information, and specifically includes:
the sending module is specifically configured to:
the target recommendation information is sent to the mobile terminal, so that the mobile terminal displays the target recommendation information on a negative screen of the mobile terminal, wherein the negative screen is the leftmost screen or the rightmost screen of a desktop of the mobile terminal.
Optionally, the user information further includes a user identifier and a terminal identifier of the mobile terminal, where the user identifier is used to uniquely identify the user, and the apparatus further includes a storage module:
and the storage module is used for performing associated storage on the target recommendation information, the user identification, the terminal identification of the mobile terminal and the position information of the current geographic position after the target recommendation information is generated according to the current geographic position and the behavior habit.
Optionally, the obtaining module is further configured to send the target recommendation information to the mobile terminal, so that after the mobile terminal displays the target recommendation information, when the user information of the mobile terminal is obtained again, the real-time geographic location of the mobile terminal is obtained;
according to the user identification and the terminal identification contained in the mobile terminal user information, the target recommendation information corresponding to each geographic position corresponding to the user identification is obtained from the associated storage;
the determination module is further to: and determining recommendation information corresponding to the real-time geographic position of the mobile terminal from the target recommendation information corresponding to each geographic position for recommendation.
A third aspect of embodiments of the present invention provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the steps of the information recommendation method according to the first aspect when executing the computer program.
A fourth aspect of the embodiments of the present invention provides a computer program product, which is capable of implementing the functions implemented by the information recommendation method according to the first aspect.
In the technical scheme provided by the embodiment of the invention, user information sent by a mobile terminal is obtained, wherein the user information comprises the use information of an APP installed on the mobile terminal when the user is at the current geographic position; determining the behavior habit of the user according to the APP use information installed on the mobile terminal; generating target recommendation information according to the current geographic position and the behavior habit; and sending the target recommendation information to the mobile terminal so that the mobile terminal displays the target recommendation information. Therefore, the recommendation of the relevant information is carried out aiming at the real-time geographic position of the user, and the recommendation is targeted.
Drawings
In order to facilitate understanding of the technical solutions provided by the present invention, the present invention further provides drawings for reference, and it should be noted that, based on the following drawings, those skilled in the art may also obtain other drawings in combination with the description of the specification.
FIG. 1 is a schematic diagram of an embodiment of an information recommendation method in an embodiment of the present invention;
FIG. 2 is a schematic diagram of an embodiment of an information recommendation device in an embodiment of the present invention;
FIG. 3 is a diagram of an embodiment of a computer device in an embodiment of the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the 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 terms "first" and "second" in the description and claims of the present invention and the above-described drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that the embodiments described herein may be practiced otherwise than as specifically illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In an embodiment, as shown in fig. 1, there is provided an information recommendation method, including the steps of:
s10: acquiring user information sent by a mobile terminal, wherein the user information comprises the use information of an APP installed on the mobile terminal when the user is at the current geographic position;
the APP includes, but is not limited to, a shopping APP, a social APP, a game APP, an audio/video APP, and the like, and generally refers to various APPs installed on the mobile terminal, which are not illustrated herein.
S20: determining the behavior habit of the user according to the APP use information installed on the mobile terminal;
s30: generating target recommendation information according to the current geographic position and the behavior habit;
s40: and sending the target recommendation information to the mobile terminal so that the mobile terminal displays the target recommendation information.
Optionally, the usage information of the APPs installed by the mobile terminal includes the number of times of usage of each APP installed by the user in a preset time period of the mobile terminal, and content usage information of each APP by the user in the preset time period;
the determining the behavior habit of the user according to the APP usage information installed on the mobile terminal specifically includes: and determining the behavior habits of the user in the preset time period according to the use times of the APPs in the preset time period and the content use information of the APP by the user in the preset time period.
Optionally, the determining, according to the number of times of use of each APP in a preset time period and the content use information of each APP by the user in the preset time period, the behavior habit of the user in the preset time period specifically includes the following steps:
determining target APPs with the use times arranged at the front N positions in the preset time period according to the use times of the APPs in the preset time period, wherein N is greater than or equal to 1;
determining the content use information of the target APP by the user from the content use information of each APP;
and determining the behavior habit of the user in the preset time period according to the content use information of the target APP.
Optionally, the generating target recommendation information according to the geographic position information of the current geographic position and the behavior habit specifically includes the following steps:
acquiring corresponding recommended content according to the behavior habit;
and taking the recommended content as the recommended information of the user at the current geographic position to generate the target recommended information.
Optionally, the sending the target recommendation information to the mobile terminal to enable the mobile terminal to display the target recommendation information specifically includes the following steps:
the target recommendation information is sent to the mobile terminal, so that the mobile terminal displays the target recommendation information on a negative screen of the mobile terminal, wherein the negative screen is the leftmost screen or the rightmost screen of a desktop of the mobile terminal.
Optionally, the user information further includes a user identifier and a terminal identifier of the mobile terminal, where the user identifier is used to uniquely identify the user, and after the target recommendation information is generated according to the current geographic location and the behavior habit, the method further includes the following steps:
and performing associated storage on the target recommendation information, the user identification, the terminal identification of the mobile terminal and the position information of the current geographic position.
Optionally, after the target recommendation information is sent to the mobile terminal so that the mobile terminal displays the target recommendation information, the method includes the following steps:
when the user information of the mobile terminal is obtained again, the real-time geographic position of the mobile terminal is obtained;
according to the user identification and the terminal identification contained in the mobile terminal user information, the target recommendation information corresponding to each geographic position corresponding to the user identification is obtained from the associated storage;
and determining recommendation information corresponding to the real-time geographic position of the mobile terminal from the target recommendation information corresponding to each geographic position for recommendation.
In the technical scheme provided by the embodiment of the invention, user information sent by a mobile terminal is obtained, wherein the user information comprises the use information of an APP installed on the mobile terminal when the user is at the current geographic position; determining the behavior habit of the user according to the APP use information installed on the mobile terminal; generating target recommendation information according to the current geographic position and the behavior habit; and sending the target recommendation information to the mobile terminal so that the mobile terminal displays the target recommendation information. Therefore, the recommendation of the relevant information is carried out aiming at the real-time geographic position of the user, and the recommendation is targeted.
As shown in fig. 2, an embodiment of the present invention further provides an information recommendation apparatus, where the information recommendation apparatus corresponds to the information recommendation method, and the information recommendation apparatus 10 includes an obtaining module 101, a determining module 102, a generating module 103, and a sending module 104, where functions of the modules are as follows:
an obtaining module 101, configured to obtain user information sent by a mobile terminal, where the user information includes usage information of an APP installed in the mobile terminal when the user is in a current geographic location;
a determining module 102, configured to determine a behavior habit of the user according to the usage information of the APP installed in the mobile terminal;
the generating module 103 is configured to generate target recommendation information according to the current geographic location and the behavior habit;
a sending module 104, configured to send the target recommendation information to the mobile terminal, so that the mobile terminal displays the target recommendation information.
Optionally, the usage information of the APPs installed by the mobile terminal includes the number of times of usage of each APP installed by the user in a preset time period of the mobile terminal, and content usage information of each APP by the user in the preset time period;
the determining module is configured to determine the behavior habit of the user according to the usage information of the APP installed in the mobile terminal, and specifically includes:
the determining module is used for determining the behavior habits of the user in the preset time period according to the use times of the APPs in the preset time period and the content use information of the APPs by the user in the preset time period.
Optionally, the determining module is configured to determine the behavior habit of the user in the preset time period according to the number of times of use of each APP in the preset time period and the content use information of the user for each APP in the preset time period, and specifically includes:
the determining module is specifically configured to:
determining target APPs with the use times arranged at the front N positions in the preset time period according to the use times of the APPs in the preset time period, wherein N is greater than or equal to 1;
determining the content use information of the target APP by the user from the content use information of each APP;
and determining the behavior habit of the user in the preset time period according to the content use information of the target APP.
Optionally, the generating module is configured to generate the target recommendation information according to the geographic location information of the current geographic location and the behavior habit, and specifically includes:
the generation module is configured to:
acquiring corresponding recommended content according to the behavior habit;
and taking the recommended content as the recommended information of the user at the current geographic position to generate the target recommended information.
Optionally, the sending module is configured to send the target recommendation information to the mobile terminal, so that the mobile terminal displays the target recommendation information, and specifically includes:
the sending module is specifically configured to:
the target recommendation information is sent to the mobile terminal, so that the mobile terminal displays the target recommendation information on a negative screen of the mobile terminal, wherein the negative screen is the leftmost screen or the rightmost screen of a desktop of the mobile terminal.
Optionally, the user information further includes a user identifier and a terminal identifier of the mobile terminal, where the user identifier is used to uniquely identify the user, and the apparatus further includes a storage module:
and the storage module is used for performing associated storage on the target recommendation information, the user identification, the terminal identification of the mobile terminal and the position information of the current geographic position after the target recommendation information is generated according to the current geographic position and the behavior habit.
Optionally, the obtaining module is further configured to send the target recommendation information to the mobile terminal, so that after the mobile terminal displays the target recommendation information, when the user information of the mobile terminal is obtained again, the real-time geographic location of the mobile terminal is obtained;
according to the user identification and the terminal identification contained in the mobile terminal user information, the target recommendation information corresponding to each geographic position corresponding to the user identification is obtained from the associated storage;
the determination module is further to: and determining recommendation information corresponding to the real-time geographic position of the mobile terminal from the target recommendation information corresponding to each geographic position for recommendation.
In the information recommendation device provided by the embodiment of the invention, user information sent by a mobile terminal is obtained, wherein the user information comprises the use information of an APP installed on the mobile terminal when the user is at the current geographic position; determining the behavior habit of the user according to the APP use information installed on the mobile terminal; generating target recommendation information according to the current geographic position and the behavior habit; and sending the target recommendation information to the mobile terminal so that the mobile terminal displays the target recommendation information. Therefore, the recommendation of the relevant information is carried out aiming at the real-time geographic position of the user, and the recommendation is targeted.
It should be noted that the realized functions of the resume generating apparatus provided in the above embodiments are not changed, and the information recommending method in the above method embodiments is based on the same inventive concept. Therefore, the steps of each specific embodiment in the networking control method may be executed by the corresponding terminal device, and the specific functions may also have corresponding method steps in the information recommendation method, which are not described herein again.
The embodiment of the present invention further provides a computer device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the steps of the information recommendation method described above are implemented.
In addition, an embodiment of the present invention further provides a computer program product, and when the computer program product is executed by a computer device, the computer program product may implement the functions of the information recommendation method in the embodiment of the present invention.
In one embodiment, a computer device is provided, which may be used as an information recommendation apparatus in an embodiment of the present invention, and its internal structure diagram may be as shown in fig. 3. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used for storing and acquiring user information and the like. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement the method executed by the server in the information entry method.
In one embodiment, a computer device is provided, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program:
acquiring user information sent by a mobile terminal, wherein the user information comprises the use information of an APP installed on the mobile terminal when the user is at the current geographic position;
determining the behavior habit of the user according to the APP use information installed on the mobile terminal;
generating target recommendation information according to the current geographic position and the behavior habit;
and sending the target recommendation information to the mobile terminal so that the mobile terminal displays the target recommendation information.
In one embodiment, a computer program product is provided, having a computer program stored thereon, the computer program, when executed by a processor, performing the steps of:
acquiring user information sent by a mobile terminal, wherein the user information comprises the use information of an APP installed on the mobile terminal when the user is at the current geographic position;
determining the behavior habit of the user according to the APP use information installed on the mobile terminal;
generating target recommendation information according to the current geographic position and the behavior habit;
and sending the target recommendation information to the mobile terminal so that the mobile terminal displays the target recommendation information.
The computer device can execute the method executed by the terminal device provided by the embodiment of the invention, and has the advantages of executing the storage device or accessing the device function module. For technical details that are not described in detail in this embodiment, reference may be made to the information recommendation method provided in this embodiment of the present invention, and details are not repeated here.
Moreover, the above-described system embodiments are only illustrative, wherein the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a general hardware platform, and certainly can also be implemented by hardware. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, a storage device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic or optical disk, and other various media capable of storing program codes.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (5)
1. An information recommendation method, characterized in that the method comprises:
acquiring user information sent by a mobile terminal, wherein the user information comprises the use information of an APP installed on the mobile terminal when the user is at the current geographic position;
determining the behavior habit of the user according to the APP use information installed on the mobile terminal;
generating target recommendation information according to the current geographic position and the behavior habit;
sending the target recommendation information to the mobile terminal so that the mobile terminal displays the target recommendation information;
the using information of the APP installed by the mobile terminal comprises using times of the user for each APP installed by the mobile terminal in a preset time period and content using information of the user for each APP in the preset time period;
the determining the behavior habit of the user according to the APP usage information installed on the mobile terminal includes:
determining the behavior habits of the user in the preset time period according to the use times of the APPs in the preset time period and the content use information of the user to the APPs in the preset time period;
determining the behavior habits of the user in the preset time period according to the use times of the APPs in the preset time period and the content use information of the APPs by the user in the preset time period, including:
determining target APPs with the use times arranged at the front N positions in the preset time period according to the use times of the APPs in the preset time period, wherein N is greater than or equal to 1;
determining the content use information of the target APP by the user from the content use information of each APP;
determining the behavior habit of the user in the preset time period according to the content use information of the target APP;
generating target recommendation information according to the geographic position information of the current geographic position and the behavior habit, wherein the target recommendation information comprises:
acquiring corresponding recommended content according to the behavior habit;
taking the recommended content as the recommended information of the user at the current geographic position to generate the target recommended information;
the sending the target recommendation information to the mobile terminal to enable the mobile terminal to display the target recommendation information comprises:
the target recommendation information is sent to the mobile terminal, so that the mobile terminal displays the target recommendation information on a negative screen of the mobile terminal, wherein the negative screen is the leftmost screen or the rightmost screen of a desktop of the mobile terminal.
2. The information recommendation method according to claim 1, wherein the user information further includes a user identifier and a terminal identifier of the mobile terminal, the user identifier is used for uniquely identifying the user, and after the target recommendation information is generated according to the current geographic location and the behavior habit, the method further includes:
and performing associated storage on the target recommendation information, the user identification, the terminal identification of the mobile terminal and the position information of the current geographic position.
3. The information recommendation method according to claim 2, wherein after the target recommendation information is sent to the mobile terminal so that the mobile terminal presents the target recommendation information, the method comprises:
when the user information of the mobile terminal is obtained again, the real-time geographic position of the mobile terminal is obtained;
according to the user identification and the terminal identification contained in the mobile terminal user information, the target recommendation information corresponding to each geographic position corresponding to the user identification is obtained from the associated storage;
and determining recommendation information corresponding to the real-time geographic position of the mobile terminal from the target recommendation information corresponding to each geographic position for recommendation.
4. An information recommendation device based on claim 1, characterized in that said device comprises:
the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring user information sent by a mobile terminal, and the user information comprises the use information of an APP installed on the mobile terminal when the user is at the current geographic position;
the determining module is used for determining the behavior habit of the user according to the using information of the APP installed on the mobile terminal;
the generation module is used for generating target recommendation information according to the current geographic position and the behavior habit;
and the sending module is used for sending the target recommendation information to the mobile terminal so that the mobile terminal can display the target recommendation information.
5. A computer arrangement comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the information recommendation method according to any one of claims 1 to 3 when executing the computer program.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811580485.0A CN109474702B (en) | 2018-12-24 | 2018-12-24 | Information recommendation method and device, computer equipment and product |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811580485.0A CN109474702B (en) | 2018-12-24 | 2018-12-24 | Information recommendation method and device, computer equipment and product |
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| Publication Number | Publication Date |
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| CN109474702A CN109474702A (en) | 2019-03-15 |
| CN109474702B true CN109474702B (en) | 2021-11-09 |
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| CN102811371B (en) * | 2012-07-10 | 2016-05-11 | Tcl集团股份有限公司 | The method, system and device that intelligent television application program is recommended |
| US20140095690A1 (en) * | 2012-09-28 | 2014-04-03 | Alcatel-Lucent Usa Inc. | Real time rules engine for policies orchestration in a mobile telecommunications network |
| CN103870126A (en) * | 2014-03-27 | 2014-06-18 | 上海斐讯数据通信技术有限公司 | Method and mobile terminal for intelligently recommending application program |
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| CN104506612A (en) * | 2014-12-19 | 2015-04-08 | 北京奇虎科技有限公司 | Information recommendation method, server and browser device |
| CN105302887A (en) * | 2015-10-15 | 2016-02-03 | 百度在线网络技术（北京）有限公司 | Information pushing method and pushing apparatus |
| CN105872966A (en) * | 2016-04-01 | 2016-08-17 | 乐视控股（北京）有限公司 | Method and device for pushing customized message |
| CN106412078B (en) * | 2016-10-18 | 2019-07-02 | 北京京东尚科信息技术有限公司 | Accurate information method for pushing, device and system |
| CN106487664B (en) * | 2016-12-08 | 2020-07-03 | 宇龙计算机通信科技(深圳)有限公司 | Information recommendation method and device and mobile terminal |
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