CN112913210A - Method for determining information content and related product - Google Patents
Method for determining information content and related product Download PDFInfo
- Publication number
- CN112913210A CN112913210A CN201880098873.7A CN201880098873A CN112913210A CN 112913210 A CN112913210 A CN 112913210A CN 201880098873 A CN201880098873 A CN 201880098873A CN 112913210 A CN112913210 A CN 112913210A
- Authority
- CN
- China
- Prior art keywords
- information
- determining
- stores
- acquiring
- merchants
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 53
- 238000005265 energy consumption Methods 0.000 claims description 53
- 238000012545 processing Methods 0.000 claims description 26
- 238000004891 communication Methods 0.000 claims description 24
- 238000012216 screening Methods 0.000 claims description 21
- 230000007613 environmental effect Effects 0.000 claims description 19
- 238000004590 computer program Methods 0.000 claims description 13
- 235000015219 food category Nutrition 0.000 claims description 11
- 230000010365 information processing Effects 0.000 claims 1
- 235000013305 food Nutrition 0.000 description 13
- 230000006870 function Effects 0.000 description 9
- 238000010586 diagram Methods 0.000 description 6
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 206010063385 Intellectualisation Diseases 0.000 description 2
- 244000269722 Thea sinensis Species 0.000 description 2
- 235000021152 breakfast Nutrition 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 240000004922 Vigna radiata Species 0.000 description 1
- 235000010721 Vigna radiata var radiata Nutrition 0.000 description 1
- 235000011469 Vigna radiata var sublobata Nutrition 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000001816 cooling Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000035622 drinking Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 235000021268 hot food Nutrition 0.000 description 1
- 235000012149 noodles Nutrition 0.000 description 1
- 235000021395 porridge Nutrition 0.000 description 1
- 235000013311 vegetables Nutrition 0.000 description 1
Images
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Landscapes
- Information Transfer Between Computers (AREA)
- Telephone Function (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
A method for determining information content and related products are applied to a mobile terminal, and the method comprises the following steps: acquiring current position information and time information (201); determining information (202) of a first number of stores from the location information and the time information; acquiring portrait information of a user, wherein the portrait information of the user is used for representing a private characteristic attribute (203) of the user; determining at least one target store (204) based on the representation information and the information of the first number of stores; information content (205) is generated and displayed in accordance with the at least one targeted store. The stores can be preliminarily screened through the position information and the time information, and at least one store is determined according to the user portrait, so that the intelligence of the mobile terminal is improved, the information acquisition requirements of the user in different scenes are met, the time of the user is saved, and the user experience is improved.
Description
The present application relates to the field of computer technologies, and in particular, to a method for determining information content and a related product.
With the continuous progress of science and technology, the functions of the mobile terminal are more and more powerful, and users can acquire interested content information in real time through the mobile terminal while generally using the mobile terminal to inquire related information. When a user shops or plays, the user can acquire information of a shopping shop or a playing shop through the mobile terminal.
Disclosure of Invention
The embodiment of the application provides a method for determining information content and a related product, which can meet the information acquisition requirements of users in different scenes.
In a first aspect, an embodiment of the present application provides a method for determining information content, which is applied to a mobile terminal, and the method includes:
acquiring current position information and time information;
determining information of a first number of shops according to the position information and the time information;
acquiring portrait information of a user, wherein the portrait information of the user is used for representing the private characteristic attribute of the user;
determining at least one target store based on the representation information and the information of the first number of stores;
and generating and displaying information content according to the at least one target shop.
In a second aspect, the present application provides an information content determining apparatus, applied to a mobile terminal, the information content determining apparatus includes a processing unit and a communication unit, wherein,
the processing unit is used for acquiring current position information and time information through the communication unit;
determining information of a first number of shops according to the position information and the time information;
acquiring portrait information of a user, wherein the portrait information of the user is used for representing the private characteristic attribute of the user;
determining at least one target store based on the representation information and the information of the first number of stores; and generating and displaying information content according to the at least one target shop.
In a third aspect, an embodiment of the present application provides a mobile terminal, including a processor, a memory, a communication interface, and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the processor, and the program includes instructions for executing the steps in the first aspect of the embodiment of the present application.
In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program for electronic data exchange, where the computer program enables a computer to perform some or all of the steps described in the first aspect of the embodiment of the present application.
In a fifth aspect, embodiments of the present application provide a computer program product, where the computer program product includes a non-transitory computer-readable storage medium storing a computer program, where the computer program is operable to cause a computer to perform some or all of the steps as described in the first aspect of the embodiments of the present application. The computer program product may be a software installation package.
It can be seen that, in the embodiment of the application, the mobile terminal first acquires the current position information and time information; secondly, determining information of a first number of shops according to the position information and the time information; secondly, obtaining portrait information of the user, wherein the portrait information of the user is used for representing the private characteristic attribute of the user; secondly, determining at least one target shop according to the image information and the information of the first number of shops; and finally, generating and displaying information content according to the at least one target shop. Therefore, the mobile terminal can firstly determine information of a certain number of shops through the position information and the time information, and then determine at least one target shop according to the private characteristic attribute of the user, so that the information acquisition requirements of the user in different scenes are met, the time of the user is saved, and the user experience is improved.
Reference will now be made in brief to the drawings that are needed in describing embodiments or prior art. In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic system structure diagram of a method for determining information content disclosed in an embodiment of the present application;
fig. 2 is a schematic flowchart of a method for determining information content according to an embodiment of the present application;
fig. 3 is a schematic flow chart of another information content determination method disclosed in the embodiment of the present application;
fig. 4 is a schematic flowchart of another information content determining method disclosed in the embodiment of the present application;
fig. 5 is a schematic structural diagram of a mobile terminal disclosed in an embodiment of the present application;
fig. 6 is a block diagram of functional units of an apparatus for determining information content according to an embodiment of the present application.
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, 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 application.
The terms "first," "second," and the like in the description and claims of the present application and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
The mobile terminal according to the embodiments of the present application may include various handheld devices, vehicle-mounted devices, wearable devices, computing devices or other processing devices connected to a wireless modem, and various forms of User Equipment (UE), Mobile Stations (MS), terminal devices (terminal device), and so on. For convenience of description, the above-mentioned devices are collectively referred to as electronic devices.
The following describes embodiments of the present application in detail.
Referring to fig. 1, fig. 1 is a schematic system structure diagram of a method for determining information content according to an embodiment of the present disclosure, where a mobile terminal 101 is in communication connection with a cloud server 102, and the cloud server 102 is in communication connection with a third-party server 103. After acquiring position information, time information, current user step information and use habit information, the mobile terminal 101 sends the position information to the cloud server 102, the cloud server 102 sends data request information to the third-party server 103 after receiving the position information, the data request information comprises city information, after receiving the data request information, the third-party server 103 sends the relevant information of the city to the mobile terminal cloud server 102 according to the city information, and the cloud server 102 forwards the relevant information of the city to the mobile terminal 101. And the mobile terminal combines the collected information with the relevant information of the city for analysis, and finally determines the information content of the information to be pushed.
Referring to fig. 2, fig. 2 is a schematic flowchart of a method for determining information content according to an embodiment of the present application, where the method for determining information content described in the embodiment is applied to a mobile terminal, and the method may include the following steps:
The position information can be obtained through a positioning system of the mobile terminal or a wireless network module.
The number of the information of the shops available to the mobile terminal is larger than that of the information of the first number of shops, and the mobile terminal conducts screening through the position information and the time information to finally determine the information of the first number of shops.
The user portrait information is used to represent information of the private characteristic attributes of the user, and may be specifically generated by the mobile terminal according to the use habits and operation records of the user, or may be actively entered by the user, and the user portrait information may include various characteristic attributes such as gender, age, hobbies, occupation, and the like.
It can be seen that, in the embodiment of the application, the mobile terminal first acquires the current position information and time information; secondly, determining information of a first number of shops according to the position information and the time information; secondly, obtaining portrait information of the user, wherein the portrait information of the user is used for representing the private characteristic attribute of the user; secondly, determining at least one target shop according to the portrait information and the information of the first number of shops; and finally, generating and displaying information content according to the at least one target shop. Therefore, the mobile terminal can firstly determine information of a certain number of shops through the position information and the time information, and then determine at least one target shop according to the private characteristic attribute of the user, so that the information acquisition requirements of the user in different scenes are met, the time of the user is saved, and the user experience is improved.
For example, when the user opens the preset interface of the mobile terminal, the mobile terminal obtains the current location information of the mobile terminal through the positioning system, and determines time information according to the current system time, the mobile terminal obtains data information of the currently opened application through the cloud server, for example, the current user views the information of the gourmet shop, the mobile terminal acquires the food information of the current city, screens the food information of the current city according to the position information, determines the food information of shops within a certain range of the current mobile terminal, next, if it is detected that the current time is noon, for example, the food information of the stores within the certain range is further sorted according to the store types (breakfast store, dinner store, afternoon tea store) to obtain information of the first number of stores. Or the screening can be performed through the time information firstly and then according to the position information. Then, screening information of a first number of shops according to the user portrait information to determine at least one target shop; the user portrait information may be generated from the user's historical purchase records, browsing records, etc. in combination with the user's name and age. And generating corresponding information content according to the at least one target shop, and displaying the information content on a display screen of the mobile terminal.
In one possible example, the mobile terminal determines at least one targeted store based on the representation information and information of the first number of stores, including: acquiring a characteristic label corresponding to the image information; obtaining a shop label corresponding to each shop in the first number of shops; inquiring a preset matching relation, and screening out shop labels of a second number of shops from the first number of shops, wherein the preset matching relation comprises a matching relation between the characteristic label and the shop label; acquiring energy consumption data and environmental temperature information; and determining the at least one target shop from the second number of shops according to the energy consumption data, the environmental parameter information and the shop tags of the second number of shops, wherein the energy consumption information is the energy consumption condition information of the current user acquired in a preset time period before the current time point.
Wherein the feature tag may represent a private feature attribute of the current user. The shop label is information obtained by the mobile terminal through the cloud server. The energy consumption data can be obtained by calculating the step number and other mobile data of the mobile terminal to the user, or can be obtained by connecting the mobile terminal with the intelligent wearable device. The energy consumption data may display energy consumption data for different preset time periods before the current time point. Such as energy expenditure data 1 hour, 2 hours, or 1 day prior to the current time point. The environment temperature information can be detected by the mobile terminal, or acquired by connecting the intelligent temperature equipment, or acquired by acquiring the environment temperature information of the current position through the cloud server.
In this example, the mobile terminal can first screen the first number of stores according to the feature tags of the user images to obtain the store tags of the second number of stores, and remove stores that the user probably dislikes in the first number of stores, thereby improving the intelligence of the mobile terminal. Secondly, the mobile terminal performs further screening by combining the self state of the current user, including energy consumption data, and the environment in which the mobile terminal is located, including environment temperature information; the purpose of adjusting according to the change of the environment on the basis of the user preference is achieved, the intellectualization of the mobile terminal is improved, and the information acquisition requirements of the user in different scenes are met.
In one possible example, the first number of stores are gourmet stores, the environmental parameter information includes environmental temperature information, a heat tag is included in store tags of the second number of stores, and the mobile terminal determines the at least one target store from the second number of stores based on the energy consumption data, the environmental parameter information, and the store tags of the second number of stores, including: determining an energy consumption level from the energy consumption data; determining store tags for a third number of stores based on the energy consumption levels and the heat tags; determining at least one food category from the ambient temperature information; determining a store tag of at least one store of the at least one food category included in the contents of the store tags of the third number of stores; determining the at least one target store according to the store tag of the at least one store.
The mobile terminal can determine the energy consumption interval to which the mobile terminal belongs according to the energy consumption data, and further determine the energy consumption level corresponding to the current energy consumption data. The calorie labels are generated according to main foods sold by the shop information, and different foods correspond to different calorie labels. The energy consumption level corresponds to the amount of heat represented by the heat label. The mobile terminal can be matched through the preset corresponding relation between the energy level and the heat labels, and the shop labels of the shops in the third number are determined according to the matching result. The method for determining at least one food category through the ambient temperature mainly comprises the steps that food which is suitable for eating at the current ambient temperature can be obtained through a server; for example, in the north, the environment temperature is low, hot food such as chafing dish is suitable to eat, and in the summer, cold noodles, mung bean porridge and other food for cooling and relieving summer heat are suitable to eat.
Therefore, in the example, the mobile terminal screens the shops through the energy consumption data and determines at least one shop according to the current environment temperature, so that the intellectualization of the mobile terminal is improved, and the information acquisition requirements of the user in different scenes are met.
In one possible example, the mobile terminal determines information of a first number of stores based on the location information and the time information, including: acquiring information of a fourth number of shops according to the position information; and screening the first quantity of shop information from the fourth quantity of shop information according to the time information.
For example, if the position indicated by the current position information is a first business circle, information of a fourth number of shops in a certain range of the first business circle is screened out from information of a large number of shops according to the position information, and if the current time information indicates noon, information of the first number of shops with the shop type of dinner shop is obtained by screening the information of the shops according to the shop types (breakfast shop, dinner shop and tea afternoon shop) in the shop information.
Therefore, in the example, the mobile terminal screens the shops according to the current time information, so that the screening range is reduced, and the efficiency of the information content determining process is improved.
In one possible example, the mobile terminal obtains a fourth amount of store information according to the location information, including: determining a current target city according to the position information; acquiring the latest city service summary table of the target city; determining a position point represented by the position information; and obtaining a fourth quantity of shop information in a preset range with the position point as the center according to the position point and the city service summary table.
In this example, the mobile terminal first determines the current city according to the position information, obtains the service summary of the city, and determines the information of the shop in the preset range of the position point represented by the position information; the effect of accurately and efficiently determining the information of the shop near the current position information is achieved.
In one possible example, the mobile terminal is in communication connection with a cloud server, and the obtaining, by the mobile terminal, a latest city service summary table of the target city includes: acquiring locally stored file information of a first service general table of the target city, wherein the file information comprises storage time of the first service general table; determining a duration value between the storage time and a current time; judging whether the time length value is greater than a time threshold value; if not, determining that the first service summary table is the latest urban service summary table; and if so, acquiring the latest urban service summary table through the cloud server.
Therefore, in the example, the mobile terminal can determine whether to update the information of the city service summary table according to the storage time of the city service summary table, so that the accuracy of the currently provided information is ensured, and the intelligence of the mobile terminal is improved.
Optionally, the mobile terminal connects to the cloud server to obtain the latest city service summary table when the mobile terminal does not obtain the city service summary table of the target city stored locally.
Optionally, in the aspect of obtaining the latest city service summary table by the cloud server, the method includes: acquiring a city code of the target city; sending request information to the cloud server, wherein the request information comprises the city code; receiving the latest city service summary table sent by the cloud server.
In one possible example, the mobile terminal obtains portrait information of a user, including: acquiring footprint information and basic information, wherein the basic information comprises age information and gender information; and generating the portrait information according to the footprint information and the basic information.
The footprint information is generated according to the information and the position information of the shops where the user stays. The information may be generated based on information of the web shop viewed by the user.
Therefore, in the example, the mobile terminal can generate the user portrait through the footprint information and the basic information of the user, and the intelligence of the mobile terminal is improved.
In one possible example, the mobile terminal acquires footprint information, including: acquiring information of N merchants staying in a preset time period before a current time point by the mobile terminal; determining the stay time corresponding to each merchant in the information of the N merchants; screening M merchants from the N merchants according to the staying time, wherein the staying time corresponding to each merchant in the M merchants is greater than a preset staying threshold; and generating the footprint information according to the information of the M merchants and the stay time corresponding to each merchant of the M merchants.
The N shops can be entity shops or network shops browsed from the mobile terminal, and if the N shops are the network shops, the stay time is the time for browsing the information of the corresponding network shops.
For example, when the user portrait to be generated is the user portrait of the taste information of the user, the mobile terminal determines N food stores which have been stopped according to the position information of the mobile terminal which has been stopped before the current time point, wherein the N stores may be physical stores or stores browsed from the network, the preset stop threshold value is set to be 3 minutes, then M stores with the mobile terminal having a stop time of more than 3 minutes are screened out from the N food stores, and the footprint information is generated according to the stop time of the mobile terminal in the M stores and the information of the M stores.
Therefore, in the example, the mobile terminal can generate footprint information according to the historical position information and the time information represented by the mobile terminal at the corresponding position information point, and the intelligence of the mobile terminal is improved.
In one possible example, the mobile terminal generates the portrait information according to the footprint information and the basic information, including: determining a weight value of each merchant in the M merchants according to the stay time corresponding to each merchant in the M merchants, wherein the sum of the weight values of the M merchants is equal to 1; acquiring a merchant characteristic label of each merchant in the M merchants; generating an interest label according to the merchant feature label of each merchant in the M merchants and the weight value of each merchant; acquiring a probability label according to the age information and the gender information, wherein the probability label is used for representing content information which is most likely to be interested by the user in the age information and the gender information; and generating the image information according to the interest label and the probability label.
The calculation method of the weight value of the single merchant is that the staying time of the current merchant is divided by the staying time duration of M merchants.
For example, when the user portrait to be generated is a user portrait of taste information of the user, when a weighted value added value of the types of the same type of food, such as chafing dish, is greater than a preset weighted threshold value, the kind of food of the user interest tag includes the chafing dish tag; when the added value of the weight values of the foods with the same taste, such as spicy types, is larger than the preset weight threshold value, the taste preference labels of the user interest labels comprise spicy labels. And then obtaining probability labels according to the age information and the gender information, for example, middle-aged men like drinking and middle-aged women like eating vegetables. And combining the interest label and the probability label to generate the user image.
Therefore, in the example, the mobile terminal can generate the user portrait by combining the interest tag and the probability tag, so that the precision of the user portrait on the representation of the user private characteristic attribute is improved, and the intelligence of the mobile terminal is improved.
In accordance with fig. 2, referring to fig. 3, the method for determining information content described in the present embodiment is applied to a mobile terminal, and the method may include the following steps:
And 304, the mobile terminal acquires a feature tag corresponding to the portrait information.
And 307, the mobile terminal acquires energy consumption data and environmental temperature information.
And 309, generating and displaying information content according to the at least one target shop.
It can be seen that, in the embodiment of the application, the mobile terminal first acquires the current position information and time information; secondly, determining information of a first number of shops according to the position information and the time information; secondly, obtaining portrait information of the user, wherein the portrait information of the user is used for representing the private characteristic attribute of the user; secondly, determining at least one target shop according to the portrait information and the information of the first number of shops; and finally, generating and displaying information content according to the at least one target shop. Therefore, the mobile terminal can firstly determine information of a certain number of shops through the position information and the time information, and then determine at least one target shop according to the private characteristic attribute of the user, so that the information acquisition requirements of the user in different scenes are met, the time of the user is saved, and the user experience is improved.
Referring to fig. 4, which is a schematic flow chart of another method for determining information content according to an embodiment of the present application, consistent with fig. 2, the method may include the following steps:
And step 402, the mobile terminal determines the current target city according to the position information.
And step 403, the mobile terminal acquires the latest city service summary table of the target city.
And 405, the mobile terminal acquires a fourth amount of shop information within a preset range with the position point as the center according to the position point and the city service summary table.
And 406, the mobile terminal screens out the first quantity of shop information from the fourth quantity of shop information according to the time information.
And 409, generating and displaying information content by the mobile terminal according to the at least one target shop.
It can be seen that, in the embodiment of the application, the mobile terminal first acquires the current position information and time information; secondly, determining information of a first number of shops according to the position information and the time information; secondly, obtaining portrait information of the user, wherein the portrait information of the user is used for representing the private characteristic attribute of the user; secondly, determining at least one target shop according to the portrait information and the information of the first number of shops; and finally, generating and displaying information content according to the at least one target shop. Therefore, the mobile terminal can firstly determine information of a certain number of shops through the position information and the time information, and then determine at least one target shop according to the private characteristic attribute of the user, so that the information acquisition requirements of the user in different scenes are met, the time of the user is saved, and the user experience is improved.
Consistent with the embodiments shown in fig. 2, fig. 3, and fig. 4, please refer to fig. 5, and fig. 5 is a schematic structural diagram of a mobile terminal 500 according to an embodiment of the present application, as shown in the figure, the mobile terminal 500 includes an application processor 510, a memory 520, a communication interface 530, and one or more programs 521, where the one or more programs 521 are stored in the memory 520 and configured to be executed by the application processor 510, and the one or more programs 521 include instructions for:
acquiring current position information and time information;
determining information of a first number of shops according to the position information and the time information;
acquiring portrait information of a user, wherein the portrait information of the user is used for representing the private characteristic attribute of the user;
determining at least one target store based on the representation information and the information of the first number of stores;
and generating and displaying information content according to the at least one target shop.
It can be seen that, in the embodiment of the application, the mobile terminal first acquires the current position information and time information; secondly, determining information of a first number of shops according to the position information and the time information; secondly, obtaining portrait information of the user, wherein the portrait information of the user is used for representing the private characteristic attribute of the user; secondly, determining at least one target shop according to the image information and the information of the first number of shops; and finally, generating and displaying information content according to the at least one target shop. Therefore, the mobile terminal can firstly determine information of a certain number of shops through the position information and the time information, and then determine at least one target shop according to the private characteristic attribute of the user, so that the information acquisition requirements of the user in different scenes are met, the time of the user is saved, and the user experience is improved.
In one possible example, in the determining at least one targeted store based on the representation information and the information for the first number of stores, the instructions in the program are specifically configured to: acquiring a characteristic label corresponding to the image information; obtaining a shop label corresponding to each shop in the first number of shops; inquiring a preset matching relation, and screening out shop labels of a second number of shops from the first number of shops, wherein the preset matching relation comprises a matching relation between the characteristic label and the shop label; acquiring energy consumption data and environmental temperature information; and determining the at least one target shop from the second number of shops according to the energy consumption data, the environmental parameter information and the shop tags of the second number of shops, wherein the energy consumption information is the energy consumption condition information of the current user acquired in a preset time period before the current time point.
In one possible example, the first number of stores are gourmet stores, the environmental parameter information comprises environmental temperature information, and the second number of stores include heat tags, the instructions in the program being specifically configured to, in the aspect of determining the at least one target store from the second number of stores based on the energy consumption data, the environmental parameter information, and the second number of stores' store tags, perform the following: determining an energy consumption level from the energy consumption data; determining store tags for a third number of stores based on the energy consumption levels and the heat tags; determining at least one food category from the ambient temperature information; determining a store tag of at least one store of the at least one food category included in the contents of the store tags of the third number of stores; determining the at least one target store according to the store tag of the at least one store.
In one possible example, in the determining information for a first number of stores from the location information and the time information, the instructions in the program are specifically configured to: obtaining a fourth amount of shop information according to the position information; and screening the first quantity of shop information from the fourth quantity of shop information according to the time information.
In one possible example, in the obtaining of the fourth amount of store information based on the location information, the instructions in the program are specifically configured to: determining a current target city according to the position information; acquiring the latest city service summary table of the target city; determining a position point represented by the position information; and obtaining a fourth quantity of shop information in a preset range with the position point as the center according to the position point and the city service summary table.
In a possible example, the mobile terminal is in communication connection with a cloud server, and in the acquiring of the latest city service summary table of the target city, the instructions in the program are specifically configured to perform the following operations: acquiring locally stored file information of a first service general table of the target city, wherein the file information comprises storage time of the first service general table; determining a duration value between the storage time and a current time; judging whether the time length value is greater than a time threshold value; if not, determining that the first service summary table is the latest urban service summary table; and if so, acquiring the latest urban service summary table through the cloud server.
In one possible example, in the obtaining of portrait information of a user, the instructions in the program are specifically configured to: acquiring footprint information and basic information, wherein the basic information comprises age information and gender information; and generating the portrait information according to the footprint information and the basic information.
In one possible example, in terms of obtaining footprint information, the instructions in the program are specifically configured to: acquiring information of N merchants staying in a preset time period before a current time point by the mobile terminal; determining the stay time corresponding to each merchant in the information of the N merchants; screening M merchants from the N merchants according to the staying time, wherein the staying time corresponding to each merchant in the M merchants is greater than a preset staying threshold; and generating the footprint information according to the information of the M merchants and the stay time corresponding to each merchant of the M merchants.
In one possible example, in the generating the portrait information from the footprint information and the base information, the instructions in the program are specifically configured to: determining a weight value of each merchant in the M merchants according to the stay time corresponding to each merchant in the M merchants, wherein the sum of the weight values of the M merchants is equal to 1; acquiring a merchant characteristic label of each merchant in the M merchants; generating an interest label according to the merchant feature label of each merchant in the M merchants and the weight value of each merchant; acquiring a probability label according to the age information and the gender information, wherein the probability label is used for representing content information which is most likely to be interested by the user in the age information and the gender information; and generating the image information according to the interest label and the probability label.
The above description has introduced the solution of the embodiment of the present application mainly from the perspective of the method-side implementation process. It is understood that the electronic device comprises corresponding hardware structures and/or software modules for performing the respective functions in order to realize the above-mentioned functions. Those of skill in the art will readily appreciate that the present application is capable of hardware or a combination of hardware and computer software implementing the various illustrative elements and algorithm steps described in connection with the embodiments provided herein. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiment of the present application, the electronic device may be divided into the functional units according to the method example, for example, each functional unit may be divided corresponding to each function, or two or more functions may be integrated into one processing unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit. It should be noted that the division of the unit in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation.
Fig. 6 is a block diagram of functional units of an apparatus 600 for determining information content according to an embodiment of the present application. The information content determining apparatus 600 is applied to a mobile terminal, and comprises a processing unit 601 and a communication unit 602, wherein,
the processing unit 601 is configured to obtain current location information and time information through the communication unit 602; and information for determining a first number of stores from the location information and the time information; and a user profile information for obtaining a user profile information, the user profile information being indicative of a private characteristic attribute of the user; and means for determining at least one target store from the representation information and the information of the first number of stores; and generating and displaying information content according to the at least one target shop.
Wherein the determining means of the multi-information content may further comprise a storage unit 603 for storing program codes and data of the electronic device. The processing unit 601 may be an application processor, the communication unit 602 may be a global communication bus, a transceiver, etc., and the storage unit 603 may be a memory.
It can be seen that, in the embodiment of the application, the mobile terminal first acquires the current position information and time information; secondly, determining information of a first number of shops according to the position information and the time information; secondly, obtaining portrait information of the user, wherein the portrait information of the user is used for representing the private characteristic attribute of the user; secondly, determining at least one target shop according to the portrait information and the information of the first number of shops; and finally, generating and displaying information content according to the at least one target shop. Therefore, the mobile terminal can firstly determine information of a certain number of shops through the position information and the time information, and then determine at least one target shop according to the private characteristic attribute of the user, so that the information acquisition requirements of the user in different scenes are met, the time of the user is saved, and the user experience is improved.
In one possible example, in said determining at least one target store based on said representation information and information of said first number of stores, said processing unit 601 is specifically configured to: acquiring a characteristic label corresponding to the image information; obtaining a shop label corresponding to each shop in the first number of shops; inquiring a preset matching relation, and screening out shop labels of a second number of shops from the first number of shops, wherein the preset matching relation comprises a matching relation between the characteristic label and the shop label; acquiring energy consumption data and ambient temperature information through the communication unit 602; and determining the at least one target shop from the second number of shops according to the energy consumption data, the environmental parameter information and the shop tags of the second number of shops, wherein the energy consumption information is the energy consumption condition information of the current user acquired in a preset time period before the current time point.
In one possible example, the first number of stores is gourmet stores, the environment parameter information comprises environment temperature information, and the second number of stores comprises a heat tag, in the aspect that the at least one target store is determined from the second number of stores according to the energy consumption data, the environment parameter information and the second number of stores, the processing unit 601 is specifically configured to: determining an energy consumption level according to the energy consumption data; determining store tags for a third number of stores based on the energy consumption levels and the heat tags; determining at least one food category from the ambient temperature information; determining a store tag of at least one store of the at least one food category included in the contents of the store tags of the third number of stores; determining the at least one target store according to the store tag of the at least one store.
In one possible example, in terms of the information for determining the first number of stores based on the location information and the time information, the processing unit 601 is specifically configured to: obtaining a fourth amount of shop information according to the position information; and screening the first quantity of shop information from the fourth quantity of shop information according to the time information.
In one possible example, in terms of the obtaining the fourth amount of store information according to the location information, the processing unit 601 is specifically configured to: determining a current target city according to the position information; acquiring the latest city service summary table of the target city; determining a position point represented by the position information; and obtaining a fourth quantity of shop information in a preset range with the position point as the center according to the position point and the city service summary table.
In a possible example, the mobile terminal is in communication connection with a cloud server through the communication unit, and in terms of obtaining the latest city service summary table of the target city, the processing unit 601 is specifically configured to: acquiring locally stored file information of a first service general table of the target city, wherein the file information comprises storage time of the first service general table; determining a duration value between the storage time and a current time; judging whether the time length value is greater than a time threshold value; if not, determining that the first service summary table is the latest urban service summary table; and if so, acquiring the latest urban service summary table through the cloud server.
In one possible example, in terms of obtaining portrait information of a user, the processing unit 601 is specifically configured to: acquiring footprint information and basic information, wherein the basic information comprises age information and gender information; and generating the portrait information according to the footprint information and the basic information.
In one possible example, in terms of obtaining the footprint information, the processing unit 601 is specifically configured to: acquiring information of N merchants staying in a preset time period before a current time point by the mobile terminal; determining the stay time corresponding to each merchant in the information of the N merchants; screening M merchants from the N merchants according to the staying time, wherein the staying time corresponding to each merchant in the M merchants is greater than a preset staying threshold; and generating the footprint information according to the information of the M merchants and the stay time corresponding to each merchant of the M merchants.
In one possible example, in the aspect of generating the portrait information according to the footprint information and the basic information, the processing unit 601 is specifically configured to: determining a weight value of each merchant in the M merchants according to the stay time corresponding to each merchant in the M merchants, wherein the sum of the weight values of the M merchants is equal to 1; acquiring a merchant characteristic label of each merchant in the M merchants; generating an interest label according to the merchant feature label of each merchant in the M merchants and the weight value of each merchant; acquiring a probability label according to the age information and the gender information, wherein the probability label is used for representing content information which is most likely to be interested by the user in the age information and the gender information; and generating the image information according to the interest label and the probability label.
It can be understood that the functions of each program module of the information content determining apparatus in this embodiment may be specifically implemented according to the method in the foregoing method embodiment, and the specific implementation process may refer to the related description of the foregoing method embodiment, which is not described herein again.
Embodiments of the present application also provide a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program enables a computer to execute part or all of the steps of any one of the information content determination methods described in the above method embodiments.
Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any one of the methods of determining information content as set forth in the above method embodiments.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implementing, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.
The units described as separate parts may or may not be physically separate, and 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 units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit may be implemented in the form of hardware, or may be implemented in the form of a software program module.
The integrated units, if implemented in the form of software program modules and sold or used as stand-alone products, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method described in the embodiments of the present application. And the aforementioned memory comprises: various media capable of storing program codes, such as a usb disk, a read-only memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and the like.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash disk, ROM, RAM, magnetic or optical disk, and the like.
The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, 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 application.
Claims (20)
- A method for determining information content is applied to a mobile terminal, and the method comprises the following steps:acquiring current position information and time information;determining information of a first number of shops according to the position information and the time information;acquiring portrait information of a user, wherein the portrait information of the user is used for representing the private characteristic attribute of the user;determining at least one target store based on the representation information and the information of the first number of stores;and generating and displaying information content according to the at least one target shop.
- The method of claim 1, wherein determining at least one targeted store based on the pictorial information and information of the first number of stores comprises:acquiring the image information corresponding to the image;obtaining a shop label corresponding to each shop in the first number of shops;inquiring a preset matching relation, and screening out shop labels of a second number of shops from the first number of shops, wherein the preset matching relation comprises a matching relation between the characteristic label and the shop label;acquiring energy consumption data and environmental temperature information;and determining the at least one target shop from the second number of shops according to the energy consumption data, the environmental parameter information and the shop tags of the second number of shops, wherein the energy consumption information is the energy consumption condition information of the current user acquired in a preset time period before the current time point.
- The method of claim 2, wherein the first number of stores are gourmet stores, the environmental parameter information includes ambient temperature information, the second number of stores include heat tags, the determining the at least one targeted store from the second number of stores based on the energy consumption data, the environmental parameter information, and the second number of stores' store tags comprises:determining an energy consumption level from the energy consumption data;determining store tags for a third number of stores based on the energy consumption levels and the heat tags;determining at least one food category from the ambient temperature information;determining a store tag of at least one store of the at least one food category included in the contents of the store tags of the third number of stores;determining the at least one target store according to the store tag of the at least one store.
- The method of any of claims 1-3, wherein determining information for a first number of stores based on the location information and the time information comprises:acquiring information of a fourth number of shops according to the position information;and screening out the information of the first number of shops from the information of the fourth number of shops according to the time information.
- The method of claim 4, wherein the obtaining information of a fourth number of stores from the location information comprises:determining a current target city according to the position information;acquiring the latest city service summary table of the target city;determining a position point represented by the position information;and acquiring information of a fourth number of shops in a preset range with the position point as the center according to the position point and the city service summary table.
- The method according to claim 5, wherein the mobile terminal is in communication connection with a cloud server, and the obtaining of the latest city service summary table of the target city comprises:acquiring locally stored file information of a first service general table of the target city, wherein the file information comprises storage time of the first service general table;determining a duration value between the storage time and a current time;judging whether the time length value is greater than a time threshold value;if not, determining that the first service summary table is the latest urban service summary table;and if so, acquiring the latest urban service summary table through the cloud server.
- The method of any of claims 1-6, wherein obtaining portrait information of a user comprises:acquiring footprint information and basic information, wherein the basic information comprises age information and gender information;and generating the portrait information according to the footprint information and the basic information.
- The method of claim 7, wherein the obtaining footprint information comprises:acquiring information of N merchants staying in a preset time period before a current time point by the mobile terminal;determining the stay time corresponding to each merchant in the information of the N merchants;screening M merchants from the N merchants according to the staying time, wherein the staying time corresponding to each merchant in the M merchants is greater than a preset staying threshold;and generating the footprint information according to the information of the M merchants and the stay time corresponding to each merchant of the M merchants.
- The method of claim 8, wherein generating the representation information from the footprint information and the base information comprises:determining a weight value of each merchant in the M merchants according to the stay time corresponding to each merchant in the M merchants, wherein the sum of the weight values of the M merchants is equal to 1;acquiring a merchant characteristic label of each merchant in the M merchants;generating an interest label according to the merchant feature label of each merchant in the M merchants and the weight value of each merchant;acquiring a probability label according to the age information and the gender information, wherein the probability label is used for representing content information which is most likely to be interested by the user in the age information and the gender information;and generating the image information according to the interest label and the probability label.
- An information content determination apparatus, applied to a mobile terminal, comprising a processing unit and a communication unit, wherein,the processing unit is used for acquiring current position information and time information through the communication unit; and information for determining a first number of stores from the location information and the time information; and a user profile information for obtaining a user profile information, the user profile information being indicative of a private characteristic attribute of the user; and means for determining at least one target store from the representation information and the information of the first number of stores; and generating and displaying information content according to the at least one target shop.
- The apparatus of claim 10, wherein, in said determining at least one targeted store based on said representation information and information for said first number of stores, said processing unit is specifically configured to:acquiring a characteristic label corresponding to the image information; the system comprises a first number of shops, a second number of shops and a server, wherein the first number of shops are used for storing a first quantity of data; inquiring a preset matching relationship, and screening out shop labels of a second number of shops from the first number of shops, wherein the preset matching relationship comprises a matching relationship between the characteristic label and the shop label; and for acquiring energy consumption data and ambient temperature information by the communication unit; and the energy consumption information is the energy consumption situation information of the current user acquired in a preset time period before the current time point.
- The apparatus of claim 11, wherein the first number of stores are gourmet stores, the environmental parameter information comprises ambient temperature information, wherein the second number of stores include heat tags, and wherein the processing unit is further configured to, in the determining the at least one targeted store from the second number of stores based on the energy consumption data, the environmental parameter information, and the second number of stores' store tags: determining an energy consumption level from the energy consumption data; and store tags for a third number of stores based on the energy consumption level and the heat tag; and for determining at least one food category from the ambient temperature information; and a store tag for at least one store including the at least one food category in the content of the store tags for the third number of stores; and means for determining the at least one targeted store based on the store tag of the at least one store.
- The apparatus according to any of claims 10 to 12, wherein the processing unit, in connection with the determining of the information of the first number of stores from the location information and the time information, is specifically configured to: acquiring information of a fourth number of shops according to the position information; and the information processing unit is used for screening the information of the first number of shops from the information of the fourth number of shops according to the time information.
- The apparatus according to claim 13, wherein, in said obtaining information of a fourth number of stores from the location information, the processing unit is specifically configured to: determining a current target city according to the position information; and is used for obtaining the latest city service summary table of the target city; and for determining a location point represented by the location information; and the system is used for acquiring a fourth amount of shop information in a preset range with the position point as the center according to the position point and the city service summary table.
- The apparatus according to claim 14, wherein the mobile terminal is communicatively connected to a cloud server through the communication unit, and in the aspect of obtaining the latest city service summary table of the target city, the processing unit is specifically configured to: acquiring locally stored file information of a first service general table of the target city, wherein the file information comprises storage time of the first service general table; and for determining a duration value between the storage time and a current time; and for determining whether the duration value is greater than a time threshold; if not, determining that the first service summary table is the latest urban service summary table; and if so, acquiring the latest urban service summary table through the cloud server.
- The apparatus according to any one of claims 10 to 15, wherein the processing unit, in said obtaining portrait information of a user, is specifically configured to: acquiring footprint information and basic information, wherein the basic information comprises age information and gender information; and generating the portrait information according to the footprint information and the basic information.
- The apparatus according to claim 16, wherein in the obtaining of footprint information, the processing unit is specifically configured to: acquiring information of N merchants staying in a preset time period before the current time point of the mobile terminal through the communication unit; the system is used for determining the stay time corresponding to each merchant in the information of the N merchants; the system is used for screening M merchants from the N merchants according to the staying time, wherein the staying time corresponding to each merchant in the M merchants is larger than a preset staying threshold; and the footprint information is generated according to the information of the M merchants and the stay time corresponding to each merchant of the M merchants.
- The apparatus of claim 17, wherein in said generating the representation information from the footprint information and the base information, the processing unit is specifically configured to: determining a weight value of each merchant in the M merchants according to the stay time corresponding to each merchant in the M merchants, wherein the sum of the weight values of the M merchants is equal to 1; the merchant characteristic label is used for acquiring the merchant characteristic label of each merchant in the M merchants; and generating an interest label according to the merchant feature label of each merchant of the M merchants and the weight value of each merchant; and the probability label is used for acquiring the probability label according to the age information and the gender information, and the probability label is used for representing the content information which is most likely to be interested by the user in the age information and the gender information;and generating the image information according to the interest label and the probability label.
- A mobile terminal comprising a processor, memory, a communications interface, and one or more programs stored in the memory and configured for execution by the processor, the programs including instructions for performing the steps in the method of any of claims 1-9.
- A computer-readable storage medium, characterized in that a computer program for electronic data exchange is stored, wherein the computer program causes a computer to perform the method according to any one of claims 1-9.
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
PCT/CN2018/125695 WO2020133438A1 (en) | 2018-12-29 | 2018-12-29 | Method for determining information content and related product |
Publications (2)
Publication Number | Publication Date |
---|---|
CN112913210A true CN112913210A (en) | 2021-06-04 |
CN112913210B CN112913210B (en) | 2022-10-28 |
Family
ID=71128903
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201880098873.7A Active CN112913210B (en) | 2018-12-29 | 2018-12-29 | Method for determining information content and related product |
Country Status (2)
Country | Link |
---|---|
CN (1) | CN112913210B (en) |
WO (1) | WO2020133438A1 (en) |
Families Citing this family (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111898031B (en) * | 2020-08-14 | 2024-04-05 | 腾讯科技(深圳)有限公司 | Method and device for obtaining user portrait |
CN112396490A (en) * | 2020-11-12 | 2021-02-23 | 口碑(上海)信息技术有限公司 | Interface display method, system and information processing method |
CN114638629A (en) * | 2020-12-15 | 2022-06-17 | 支付宝(杭州)信息技术有限公司 | Information pushing method and device |
CN112990973B (en) * | 2021-03-22 | 2023-06-30 | 山东顺能网络科技有限公司 | Online shop portrait construction method and system |
CN114238756A (en) * | 2021-12-06 | 2022-03-25 | 北京声智科技有限公司 | Message recommendation method, device, equipment and medium |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20090097414A1 (en) * | 2007-10-15 | 2009-04-16 | Mu Hy Yoon | Communication device and method of providing location information therein |
CN106102000A (en) * | 2016-05-30 | 2016-11-09 | 浙江每日互动网络科技股份有限公司 | A kind of based on the method for scene residing for WIFI face sketch recognition user |
EP3176736A1 (en) * | 2015-12-04 | 2017-06-07 | Nextop Italia SRL Semplificata | Electronic system and method for travel planning, based on object-oriented technology |
CN107018161A (en) * | 2016-01-28 | 2017-08-04 | 中国电信股份有限公司 | The methods, devices and systems reminded for WLAN personalizations |
CN108446786A (en) * | 2018-02-01 | 2018-08-24 | 北京三快在线科技有限公司 | A kind of information processing method, device and electronic equipment |
CN109041035A (en) * | 2018-09-28 | 2018-12-18 | Oppo广东移动通信有限公司 | User's portrait generation method, device, terminal and storage medium |
Family Cites Families (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6169789B1 (en) * | 1996-12-16 | 2001-01-02 | Sanjay K. Rao | Intelligent keyboard system |
US20140114771A1 (en) * | 2012-10-19 | 2014-04-24 | Electronics And Telecommunications Research Institute | Apparatus and method for providing digital signage service reflecting user's preference |
CN105119743B (en) * | 2015-08-07 | 2017-05-10 | 百度在线网络技术(北京)有限公司 | Acquisition method of user behavior intention and apparatus |
CN107944581A (en) * | 2017-11-30 | 2018-04-20 | 携程计算机技术(上海)有限公司 | For the air ticket of OTA websites and the associated subscriptions method and system in hotel |
-
2018
- 2018-12-29 WO PCT/CN2018/125695 patent/WO2020133438A1/en active Application Filing
- 2018-12-29 CN CN201880098873.7A patent/CN112913210B/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20090097414A1 (en) * | 2007-10-15 | 2009-04-16 | Mu Hy Yoon | Communication device and method of providing location information therein |
EP3176736A1 (en) * | 2015-12-04 | 2017-06-07 | Nextop Italia SRL Semplificata | Electronic system and method for travel planning, based on object-oriented technology |
CN107018161A (en) * | 2016-01-28 | 2017-08-04 | 中国电信股份有限公司 | The methods, devices and systems reminded for WLAN personalizations |
CN106102000A (en) * | 2016-05-30 | 2016-11-09 | 浙江每日互动网络科技股份有限公司 | A kind of based on the method for scene residing for WIFI face sketch recognition user |
CN108446786A (en) * | 2018-02-01 | 2018-08-24 | 北京三快在线科技有限公司 | A kind of information processing method, device and electronic equipment |
CN109041035A (en) * | 2018-09-28 | 2018-12-18 | Oppo广东移动通信有限公司 | User's portrait generation method, device, terminal and storage medium |
Also Published As
Publication number | Publication date |
---|---|
CN112913210B (en) | 2022-10-28 |
WO2020133438A1 (en) | 2020-07-02 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN112913210B (en) | Method for determining information content and related product | |
CN107730313B (en) | Shop recommendation method and device based on recommendation reason | |
CN109376313B (en) | Information recommendation method and device, terminal and storage medium | |
CN107465741B (en) | Information pushing method and device | |
CN110569432B (en) | Commodity sequence calculating method, commodity sequence calculating device, computer equipment and storage medium | |
CN107203894B (en) | Information pushing method and device | |
CN105320766B (en) | Information-pushing method and device | |
EP2640098B1 (en) | System for Providing Extensible Location-Based Services | |
CN110969512B (en) | Commodity recommendation method and device based on user purchasing behavior | |
CN111210258A (en) | Advertisement putting method and device, electronic equipment and readable storage medium | |
CN104834720A (en) | O2O (Online to Offline) mode-based interest point information display method and system | |
CN111507772A (en) | Coupon management method, device and storage medium | |
CN111080339A (en) | Method and device for generating category preference data based on scene | |
CN106547365A (en) | The method and apparatus of commercial product recommending | |
JP6994602B2 (en) | Advertising control device and advertising control system | |
US20150379531A1 (en) | System and method for management of mobile business profitability | |
US20140279220A1 (en) | Systems and methods for mobile retail environment | |
CN110570271A (en) | information recommendation method and device, electronic equipment and readable storage medium | |
CN108076439A (en) | For the method and apparatus based on wireless access point PUSH message | |
JPWO2020129527A1 (en) | Receipt processing device, control method, and program | |
US10692129B2 (en) | Systems and methods for generating and/or modifying electronic shopping lists from digital advertisements | |
KR101992544B1 (en) | Advertising platform server and its method | |
CN113256393B (en) | Service information processing system, method and device and electronic equipment | |
CN115082844A (en) | Similar crowd extension method and device, electronic equipment and readable storage medium | |
CN110335109A (en) | Take out method of ordering, terminal device, device and computer readable storage medium |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |