WO2017084344A1

WO2017084344A1 - Information recommendation method and apparatus

Info

Publication number: WO2017084344A1
Application number: PCT/CN2016/087693
Authority: WO
Inventors: 潘文海; 禚伟
Original assignee: 北京百度网讯科技有限公司
Priority date: 2015-11-16
Filing date: 2016-06-29
Publication date: 2017-05-26
Also published as: CN105302916A

Abstract

Disclosed are an information recommendation method and apparatus. The method comprises: acquiring a target position area where a user is located currently (S110); determining a recommendation method according to the target position area, the recommendation method being adapted to a requirement of the user in the target position area (S120); generating a recommendation result corresponding to the recommendation method (S130); and outputting the generated recommendation result (S140). The method and apparatus can determine a recommendation method according to a target position area where a user is located currently. Since the recommendation method is adapted to a requirement of the user in the target position area, a recommendation result obtained according to the recommendation method can provide more effective information to the user, thereby improving the recommendation efficiency.

Description

Method and device for information recommendation

Cross-reference to related applications

The present application claims priority to Chinese Patent Application No. 201510784856.7 filed on Nov. 16, 2015, the entire content of which is incorporated herein in its entirety.

Technical field

The embodiments of the present invention relate to a geographic location service technology, and in particular, to a method and an apparatus for information recommendation.

Background technique

With the development of the location based service (LBS) technology, the geographical location information service application such as the map application can passively provide the user with the geographical location information of the building, and can actively recommend the store information around the user for the user.

When recommending store information, based on the current location of the user, the shop information that is closer to the current location (eg, within 5 kilometers) and has a higher click rate (eg, more than 50 daily clicks) is preferentially recommended to the user.

However, since the user is familiar with the distribution of shops around the frequently-occurring place (resident point), the recommended result obtained according to the existing recommendation method includes a lot of shop information that the user already knows, and thus cannot be given to the user. Recommend enough valid information and recommend low efficiency.

Summary of the invention

The invention provides a method and a device for information recommendation, so as to implement information for the user to be consistent with the recommendation requirement of the user at the location according to the location of the user, and improve the recommendation efficiency.

In a first aspect, an embodiment of the present invention provides a method for information recommendation, including:

Obtain the target location area where the user is currently located;

Determining a recommendation manner according to the target location area, the recommendation manner being adapted to a user's needs in the target location area;

Generating a recommendation result corresponding to the recommended method;

The generated recommendation result is output.

In a second aspect, the embodiment of the present invention further provides an apparatus for information recommendation, including:

a target location area acquiring unit, configured to acquire a target location area where the user is currently located;

a recommendation mode determining unit, configured to determine a recommendation manner according to the target location area determined by the target location area obtaining unit, where the recommendation manner is compatible with a requirement of the user in the target location area;

a recommendation result determining unit, configured to generate a recommendation result corresponding to the recommendation manner determined by the recommendation manner determining unit;

And an output unit, configured to output the recommendation result generated by the recommendation result determining unit.

The invention determines the recommendation manner by the target location area where the user is currently located, and obtains the corresponding recommendation result according to the determined recommendation manner, and outputs the recommendation result to the user. Compared with the prior art, the shop with a higher distance and a higher click rate is recommended to the user according to the current location of the user, and the recommendation efficiency is low. Compared with the target location area where the user is currently located, the present invention can determine the recommendation mode, because the recommendation The manner is adapted to the requirements of the user in the target location area, so the recommendation result obtained according to the recommendation manner can provide more effective information for the user and improve the recommendation efficiency.

DRAWINGS

1 is a flowchart of a method for information recommendation in Embodiment 1 of the present invention;

2 is a schematic diagram of a display interface of a recommendation result in Embodiment 1 of the present invention;

3 is a flowchart of a method for information recommendation in Embodiment 2 of the present invention;

4 is a schematic diagram of a display interface of a recommendation result in Embodiment 2 of the present invention;

FIG. 5 is a flowchart of a method for information recommendation in Embodiment 3 of the present invention; FIG.

6 is a schematic structural diagram of an apparatus for information recommendation in Embodiment 4 of the present invention;

Figure 7 is a block diagram showing the structure of a computer system suitable for implementing the method of information recommendation in accordance with an embodiment of the present invention.

detailed description

The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It is understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. It should also be noted that, for ease of description, only some, but not all, of the structures related to the present invention are shown in the drawings.

Embodiment 1

FIG. 1 is a flowchart of a method for recommending information according to Embodiment 1 of the present invention. The present embodiment is applicable to a situation in which information is recommended for a user, and the method may be implemented by a terminal capable of running a geographic location information service application such as a map application. Execution, such as a smart phone, a tablet computer, a smart wearable device, etc., the method specifically includes the following:

S110. Acquire a target location area where the user is currently located.

The target location area may be a resident residential area, such as a cell in which the user lives. The target location area can also be a resident work area, such as an office building where the user is working. If the user is connected to none The line network (Wi-Fi) can determine the target location area where the user is located according to the user's Internet Protocol Address (IP address).

S120: Determine a recommendation manner according to the target location area, and the recommendation manner is adapted to the requirement of the user in the target location area.

Since the recommendation requirements of the user in different location areas are not the same, the user's demand in the target location area should be taken into account when determining the recommendation mode. First, the user's demand attribute in the target location area is obtained, and then the recommendation method is determined according to the demand attribute. For example, when the user is at the work place, the demand for dietary information is high, and the demand for leisure and entertainment information is low, so the user-recommended diet-related information, such as take-out information, is recommended. For another example: when the user is at home, the demand for leisure and entertainment information is high, and the demand for dietary information is low, so the user is recommended for leisure and entertainment related information, such as KTV information, cinema information, supermarket information, stadium information, and the like.

S130. Generate a recommendation result corresponding to the recommendation method.

At least one search keyword is determined according to the recommended manner determined in S120. The recommendation result is filtered from the preset recommendation information database according to the at least one search keyword. Each piece of recommendation information in the preset recommendation information database includes a title attribute and a location attribute.

In an implementation manner, first, the search range is determined according to the location information of the target location area, and the recommendation information located in the search range is filtered out. Then, the recommended information that is filtered out is filtered according to the search keyword, and the recommended result is obtained.

In another implementation manner, first, screening is performed according to the search keyword to obtain recommendation information that meets the search keyword. Then, the search range is determined according to the location information of the target location area, and the recommendation information located in the search range that matches the search keyword is determined as the recommendation result.

S140. Output the generated recommendation result.

The recommended results are displayed in sequence on the screen. The display interface is as shown in FIG. 2, and the recommended result of the preset number (such as 5) is displayed on the screen in the initial state. As the user control controls the screen to slide, the remaining undisplayed recommendation results are displayed in sequence. The order in which the recommended results are displayed may be determined by the rating of the recommended information (up to 5 points, one rating per 0.5 points), the distance from the user's current location, and the click rate. For example, the higher the rating of the recommendation information, the closer the distance to the current location of the user, and the higher the click rate, the more preferentially the recommendation information is displayed.

Further, in addition to displaying the recommendation result to the user, the recommendation result can be played to the user by voice, so that the user can obtain the recommendation result without reading the screen, thereby improving the user experience.

The technical solution provided by the embodiment determines the recommendation mode by using the target location area where the user is currently located, and obtains the corresponding recommendation result according to the determined recommendation manner, and outputs the recommendation result to the user. Compared with the prior art, the shop with a higher click rate than the current location of the user is recommended to the user, and the recommendation efficiency is low. Compared with the target location area where the user is currently located, the present embodiment can determine the recommendation mode. The recommendation method is adapted to the user's needs in the target location area, so the recommendation result obtained according to the recommendation method can provide more effective information for the user and improve the recommendation efficiency.

Embodiment 2

The embodiment of the present invention further provides a method for information recommendation. As a further description of the first embodiment, as shown in FIG. 3, S110, obtaining a target location area where the user is currently located may be implemented by the following operations:

S101. Obtain a current location of the user.

Get the user's current location through the Global Positioning System (GPS). The global positioning system can provide the terminal with a coordinate value that can be used to represent the current location of the user.

S102. If the current location is in the preset location area, determine the currently preset preset location area as the target location area.

Users do not have special recommendation requirements in all areas, for example, they may not be able to book a takeaway on the way to work (takeaway for dinner) or if they need to book a takeaway. Therefore, the area where the user may have the special recommendation requirement is preset, for example, the residential area where the user lives is set as the resident living area, and the office building where the user's office location is located is set as the resident working area, thereby obtaining two presets. Location area (resident area and resident work area).

The technical solution provided by this embodiment can be determined as the target location area according to the preset location area where the current location of the user is located. When there is no wireless network (Wi-Fi), the location can be obtained through the GPS of the global positioning system, thereby improving the real-time and accuracy of the user positioning, thereby more accurately determining the target location area and improving the recommendation efficiency.

In the method for information recommendation provided by the embodiment of the present invention, preferably, the determining manner corresponding to the target location area may be implemented by:

Method 1: If the target location area is a resident residential area, the group purchase information, activity information or leisure entertainment information within the first search distance is preferentially recommended.

The group purchase information includes the product group purchase information, and the activity information includes the event information of the place, the information of the product discount activity, and the information of the voucher. Recreational information includes KTV information, bar information, and more.

It should be noted that the search may be performed according to the group purchase information, the activity information, and the leisure and entertainment information in the first search distance, or may be searched according to the group purchase information, the event information, and the leisure and entertainment information.

Method 2: If the target location area is a resident work area, the take-out information or the gourmet information within the first search distance is preferentially recommended.

The takeaway information includes takeaway food information and package information that can be provided by the restaurant, and the gourmet information includes information about the dishes available at the restaurant.

Method 3: If the target location area is a non-resident living city, the attraction information, public transportation information, hotel information or gourmet information within the first search distance is preferentially recommended.

The resident city is the place of residence of the user or the city of residence selected by the user. Cities outside the resident city are non-resident cities. When a user is in a non-resident city, they are usually on a business trip or visiting relatives. At this time, the user's recommendation needs may be attraction demand, transportation demand, hotel demand or food demand. Public transportation information includes bus (bus) information, subway (mRT) information, and information on autonomous vehicles (such as self-service bicycle lights). Hotel information includes hotel information, farmhouse information, star hotel information and more.

It should be noted that the search may be performed according to the scenic spot information, the public transportation information, the hotel information and the gourmet information in the first search distance, or may be selected according to the scenic spot information, the public transportation information, the hotel information or the gourmet information. .

Among the above three search methods, the first search distance may be a user reachable area, for example, 5 kilometers. The center of the resident area is centered, and the first search distance is a radius to determine the search area. In the first method, from the preset recommendation information database, the group purchase information, the activity information or the leisure entertainment information located in the search area is searched. In the second method, the take-out information or the gourmet information located in the search area is searched from the preset recommendation information database. In the third method, from the preset recommendation information database, the attraction information, the public transportation information, the hotel information or the gourmet information located in the search area is searched.

The technical solution provided by the embodiment can determine the corresponding recommendation manner when the user is in the resident area, the resident work area, and the non-resident city, thereby providing the user with recommendation information suitable for the user's needs, and improving the recommendation efficiency.

Since the user has more data about the situation around the resident area, it may even know about all the shops in a certain range (such as 5 km). At this time, the recommendation according to the first search distance may not satisfy the user's demand. Based on this, optionally, in the first manner, if the target location area is a resident area, the group purchase information, activity information or leisure entertainment information in the second search distance is preferentially recommended, and the second search distance is greater than The first search distance.

In one implementation, the second search distance is twice the first search distance. If the first search distance is 5 kilometers, the second search distance is 10 kilometers.

By expanding the scope of the search, it is possible to recommend more recommended information that the user is not familiar with, and improve the recommendation efficiency.

The method for information recommendation provided by the embodiment of the present invention further, as shown in FIG. 3, before acquiring the target location area where the user is currently located, the method further includes:

S100. Determine, according to the trajectory data and/or click data of the user, the resident residential area, the resident working area, and the non-resident living city.

The trajectory data includes a plurality of locating points, and the plurality of locating point users represent different positions of the user at different times. When the user starts the map application or starts the GPS of the global positioning system, the terminal can acquire the positioning point (ie, coordinate information) of the user according to the preset time interval. The terminal saves the acquired positioning point and the time for obtaining the positioning point to form a relationship group (positioning point, time).

By analyzing the positioning point and the time of obtaining the positioning point, the resident living area, the resident working area, and the non-resident living city are obtained.

Exemplarily, the N (N is an integer greater than 1) positioning point corresponding to the working time period is obtained, and the working time period is 8:30-12:00, 13:00-17:30, and is determined according to the N positioning points. Resident area. Optionally, the smallest circular area including N positioning points is determined as the resident working area. Optional The smallest circular area including N positioning points is taken, centered on the center of the minimum circular area, and the preset distance (such as 1 km) is a radius to determine the resident working area.

The method of determining the resident area can be determined by reference to the process of determining the resident work area.

After determining the resident area and the resident work area, the city where the resident area and the resident work area are located is identified as the resident city. If the resident area and the resident work area are located in two cities, the two cities are identified as resident cities. Or, acquiring trajectory data acquired by the user in a certain period of time (such as the previous week or the previous month of the current time), if the user's locating point is always located in a certain city, or a preset ratio (such as 80% or 90%) of the location is located in a city, the city is identified as a resident city.

When the recommendation result is generated, the recommendation information in the preset recommendation information database is filtered centering on the center of the minimum circular area.

The click data includes a location where the user inputs a keyword in the map application and a click operation in the electronic map, such as a keyword “a church” input by the user, and a click operation triggered by the user in a corresponding area of a park. The resident city can be determined based on the keywords entered by the user and the click operation.

The click data also includes the business circle selected when the user searches for the store information and the area that is enlarged in the map. Optionally, the area in which the user frequently displays in the map (eg, more than 3 times a week) is determined as the resident living area; the business circle selected by the user is determined as the resident working area.

In order to improve the accuracy of the resident area and the resident work area, when the resident area determined by the trajectory data is the same as the resident area determined by the click data, the resident area is determined as the final resident. Residential area; otherwise, if different, re-determine the resident area until the same location. Or, if different, the resident area determined based on the trajectory data is determined For the ultimate resident area. The determination method of the resident work area can refer to the determination process of the resident area, and will not be described here.

The technical solution provided by the embodiment can accurately determine the permanent working area and the permanent resident city in the resident living area according to the trajectory data of the user and the click data, and improve the accuracy of the recommendation.

The method for information recommendation provided by the embodiment of the present invention, further, as shown in FIG. 3, the recommendation result generated by S140 and output may be implemented by the following operations:

S140', in at least one display area, respectively displaying recommendation results corresponding to at least one of the resident living area, the resident working area, and the non-resident living city.

The terminal screen is composed of a plurality of display areas. In each display area, scrolling may be performed by controlling a recommendation result in the display area according to a sliding trajectory triggered by the user in the display area.

In an implementation manner, the first three display areas respectively display recommendation results corresponding to the resident residential area, the resident working area, and the non-resident living city, and the remaining recommended results are displayed in the fourth display area, and the remaining recommended results are The recommendation results in the recommendation results generated based on the resident area, the resident work area, and the non-resident city are not included. The remaining recommendations can be determined by the number of clicks, the distance to the current location, and the rating. This interface is suitable for users who are in a non-resident city.

In another implementation manner, as shown in FIG. 4, the first two display areas respectively display the resident living area and the resident working area, and two recommendation results are displayed in each display area. The remaining recommended results are displayed in the third display area. This interface is suitable for users who are in a resident city.

The technical solution provided in this embodiment can simultaneously display the recommendation result corresponding to at least one of the resident residential area, the resident working area, and the non-resident living city through different display areas, thereby improving display efficiency.

Embodiment 3

FIG. 5 is a flowchart of a method for recommending information according to Embodiment 3 of the present invention. In this embodiment, the foregoing embodiment is specifically described by using a scenario. As shown in FIG. 5, the method includes:

S201. The terminal receives a recommendation request triggered by a user.

The user clicks on the surrounding recommendation in the map application to trigger the recommendation request.

S202. Obtain a current location of the user by using a global positioning system.

S203. Determine whether the current location is located in a resident living area, a resident working area, or a non-resident living city.

S204a. If the current location information is located in the resident area, the group purchase information, the activity information, and the leisure and entertainment information within 10 kilometers are filtered out from the preset recommendation information database, and the recommendation result is obtained.

S204b. If the current location information is located in the resident work area, the take-out information or the gourmet information within 5 kilometers is filtered out from the preset recommendation information database to obtain a recommendation result.

S204c. If the current location information is located in a non-resident living city, the attraction information, the public transportation information, the hotel information, or the gourmet information within 5 kilometers are filtered out from the preset recommendation information database, and the recommendation result is obtained.

S204d. If the current location information is located outside the resident area, the resident work area, and the non-resident living city, the recommended information of the click rate with a higher click rate within 5 kilometers is selected from the preset recommendation information database. Get the recommended results.

S205. Display the recommendation result on the screen.

Embodiment 4

The fourth embodiment of the present invention further provides an apparatus for information recommendation, where the apparatus is located in a terminal. As shown in FIG. 6, the information recommendation apparatus 1 includes:

The target location area obtaining unit 11 is configured to acquire a target location area where the user is currently located;

a recommendation mode determining unit 12, configured to determine a recommendation manner according to the target location area determined by the target location area obtaining unit 11, the recommendation manner being adapted to a requirement of a user in the target location area;

The recommendation result determining unit 13 is configured to generate a recommendation result corresponding to the recommendation manner determined by the recommendation manner determining unit 12;

The output unit 14 is configured to output the recommendation result generated by the recommendation result determining unit 13.

Further, the target location area obtaining unit 11 includes:

a current location obtaining subunit 111, configured to acquire a current location of the user;

The target location area determining sub-unit 112 is configured to determine the current preset location area as the target location area if the current location acquired by the current location acquiring sub-unit 111 is located in the preset location area.

Further, the recommended manner determining unit 12 is specifically configured to:

If the target location area is a resident residential area, preferentially recommend group purchase information, activity information, or leisure and entertainment information within the first search distance;

If the target location area is a resident work area, preferentially recommend take-out information or gourmet information within the first search distance;

If the target location area is a non-resident living city, the attraction information, public transportation information, hotel information, or gourmet information within the first search distance is preferentially recommended.

Further, as shown in FIG. 6, the device 1 further includes:

The preset area determining unit 15 is configured to determine the resident living area, the resident working area, and the non-resident living city according to the user's trajectory data and/or click data.

Further, the recommendation manner determining unit 12 is specifically configured to: when the target location area is a resident residential area, preferentially recommend group purchase information, activity information, or leisure entertainment information in the second search distance, the second search The distance is greater than the first search distance.

Further, the output unit 14 is specifically configured to:

In at least one display area, recommendation results corresponding to at least one of the resident living area, the resident working area, and the non-resident living city are respectively displayed.

The above device may perform the method provided by any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of performing the above method. For technical details that are not described in detail in this embodiment, reference may be made to the method provided by the embodiments of the present invention.

Referring now to Figure 7, a block diagram of a computer system 700 suitable for implementing the method of information recommendation in accordance with an embodiment of the present invention is shown.

As shown in FIG. 7, computer system 700 includes a central processing unit (CPU) 701 that can be loaded into a program in random access memory (RAM) 703 according to a program stored in read only memory (ROM) 702 or from storage portion 708. And perform various appropriate actions and processes. In the RAM 703, various programs and data required for the operation of the system 700 are also stored. The CPU 701, the ROM 702, and the RAM 703 are connected to each other through a bus 704. An input/output (I/O) interface 705 is also coupled to bus 704.

The following components are connected to the I/O interface 705: an input portion 706 including a keyboard, a mouse, etc.; an output portion 707 including a cathode ray tube (CRT), a liquid crystal display (LCD), and the like, and a speaker; a storage portion 708 including a hard disk or the like And a communication portion 709 including a network interface card such as a LAN card, a modem, or the like. The communication section 709 performs communication processing via a network such as the Internet. Driver 710 is also connected to I/O interface 705 as needed. A removable medium 711, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like, is mounted on the drive 710 as needed to be read therefrom The computer program is installed into the storage portion 708 as needed.

In particular, according to an embodiment of the present disclosure, the processes described above with reference to FIG. 1, FIG. 3, and FIG. 5 may be implemented as a computer software program. For example, an embodiment of the present disclosure includes a computer program product comprising a computer program tangibly embodied on a machine readable medium, the computer program comprising program code for performing the methods of FIGS. 1, 3 and 5. . In such an embodiment, the computer program can be downloaded and installed from the network via communication portion 709, and/or installed from removable media 711.

The flowchart and block diagrams in the Figures illustrate the architecture, functionality and operation of possible implementations of systems, methods and computer program products in accordance with various embodiments of the invention. In this regard, each block of the flowchart or block diagrams can represent a module, a program segment, or a portion of code that includes one or more logic for implementing the specified. Functional executable instructions. It should also be noted that in some alternative implementations, the functions noted in the blocks may also occur in a different order than that illustrated in the drawings. For example, two successively represented blocks may in fact be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending upon the functionality involved. It is also noted that each block of the block diagrams and/or flowcharts, and combinations of blocks in the block diagrams and/or flowcharts, can be implemented in a dedicated hardware-based system that performs the specified function or operation. Or it can be implemented by a combination of dedicated hardware and computer instructions.

The units or modules described in the embodiments of the present application may be implemented by software or by hardware. The described unit or module can also be provided in the processor. The names of these units or modules do not in any way constitute a limitation on the unit or module itself.

In another aspect, the present application further provides a computer readable storage medium, which may be a computer readable storage medium included in the apparatus described in the foregoing embodiments; It is a computer readable storage medium that exists alone and is not assembled into the device. The computer readable storage medium stores one or more programs that are used by one or more processors to perform the methods of information described in this application.

Note that the above are only the preferred embodiments of the present invention and the technical principles applied thereto. Those skilled in the art will appreciate that the present invention is not limited to the specific embodiments described herein, and that various modifications, changes and substitutions may be made without departing from the scope of the invention. Therefore, the present invention has been described in detail by the above embodiments, but the present invention is not limited to the above embodiments, and other equivalent embodiments may be included without departing from the inventive concept. The scope is determined by the scope of the appended claims.

Claims

A method for information recommendation, characterized in that it comprises:

Obtain the target location area where the user is currently located;

Determining a recommendation manner according to the target location area, the recommendation manner being adapted to a user's needs in the target location area;

Generating a recommendation result corresponding to the recommended method;

The generated recommendation result is output.
The method of information recommendation according to claim 1, wherein the obtaining a target location area in which the user is currently located comprises:

Obtaining the current location of the user;

If the current location is in the preset location area, the currently located preset location area is determined as the target location area.
The method of information recommendation according to claim 1 or 2, wherein the determining the recommended manner corresponding to the target location area comprises:

If the target location area is a resident residential area, preferentially recommend group purchase information, activity information, or leisure and entertainment information within the first search distance;

If the target location area is a resident work area, preferentially recommend take-out information or gourmet information within the first search distance;

If the target location area is a non-resident living city, the attraction information, public transportation information, hotel information, or gourmet information within the first search distance is preferentially recommended.
The method of information recommendation according to claim 3, wherein the method further comprises: before acquiring the target location area in which the user is currently located, the method further comprising:

Determining the resident residential area, the constant according to the user's trajectory data and/or click data Resident area and the non-resident city.
The method of information recommendation according to claim 3, wherein if the target location area is a resident area, the group purchase information, event information or leisure entertainment information within the first search distance is preferentially recommended, including :

If the target location area is a resident area, the group purchase information, activity information or leisure entertainment information in the second search distance is preferentially recommended, and the second search distance is greater than the first search distance.
The method of information recommendation according to claim 3, wherein the outputting the recommended result comprises:

In at least one display area, recommendation results corresponding to at least one of the resident living area, the resident working area, and the non-resident living city are respectively displayed.
An information recommendation device, comprising:

a target location area acquiring unit, configured to acquire a target location area where the user is currently located;

a recommendation mode determining unit, configured to determine a recommendation manner according to the target location area determined by the target location area obtaining unit, where the recommendation manner is compatible with a requirement of the user in the target location area;

a recommendation result determining unit, configured to generate a recommendation result corresponding to the recommendation manner determined by the recommendation manner determining unit;

And an output unit, configured to output the recommendation result generated by the recommendation result determining unit.
The apparatus for information recommendation according to claim 7, wherein the target location area obtaining unit comprises:

a current location acquisition subunit, configured to acquire a current location of the user;

a target location area determining subunit, configured to: if the current location acquisition subunit obtains the When the current position is in the preset position area, the current preset position area is determined as the target position area.
The device for information recommendation according to claim 7 or 8, wherein the recommendation mode determining unit is specifically configured to:

If the target location area is a resident residential area, preferentially recommend group purchase information, activity information, or leisure and entertainment information within the first search distance;

If the target location area is a resident work area, preferentially recommend take-out information or gourmet information within the first search distance;

If the target location area is a non-resident living city, the attraction information, public transportation information, hotel information, or gourmet information within the first search distance is preferentially recommended.
The device for information recommendation according to claim 9, wherein the device further comprises:

The preset area determining unit is configured to determine the resident living area, the resident working area, and the non-resident living city according to the user's trajectory data and/or click data.
The information recommendation device according to claim 9, wherein the recommendation manner determining unit is configured to: if the target location area is a resident residential area, preferentially recommend group purchase information in the second search distance, Activity information or entertainment information, the second search distance being greater than the first search distance.
The device for information recommendation according to claim 9, wherein the output unit is specifically configured to:

In at least one display area, recommendation results corresponding to at least one of the resident living area, the resident working area, and the non-resident living city are respectively displayed.
A device that includes:

Processor; and

Memory,

The memory stores computer readable instructions executable by the processor, the processor performing a method of information recommendation when the computer readable instructions are executed, the method comprising:

Obtain the target location area where the user is currently located;

Determining a recommendation manner according to the target location area, the recommendation manner being adapted to a user's needs in the target location area;

Generating a recommendation result corresponding to the recommended method;

The generated recommendation result is output.
A non-volatile computer storage medium storing computer readable instructions executable by a processor, the processor performing information recommendation when the computer readable instructions are executed by a processor Method, the method comprising:

Obtain the target location area where the user is currently located;

Determining a recommendation manner according to the target location area, the recommendation manner being adapted to a user's needs in the target location area;

Generating a recommendation result corresponding to the recommended method;

The generated recommendation result is output.