CN108520058B - Merchant information recommendation method and mobile terminal - Google Patents
Merchant information recommendation method and mobile terminal Download PDFInfo
- Publication number
- CN108520058B CN108520058B CN201810310713.6A CN201810310713A CN108520058B CN 108520058 B CN108520058 B CN 108520058B CN 201810310713 A CN201810310713 A CN 201810310713A CN 108520058 B CN108520058 B CN 108520058B
- Authority
- CN
- China
- Prior art keywords
- target
- information
- item
- mobile terminal
- merchant
- 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.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0631—Item recommendations
Landscapes
- Business, Economics & Management (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Development Economics (AREA)
- Economics (AREA)
- Marketing (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- User Interface Of Digital Computer (AREA)
- Telephone Function (AREA)
Abstract
The invention provides a merchant information recommendation method and a mobile terminal, wherein the method comprises the following steps: acquiring at least one item of feature information of a target article in a target photo by carrying out image recognition on the target photo in the mobile terminal; constructing a user portrait model by using the at least one item of target article characteristic information to generate a target user portrait; and matching preset commodity information of at least one merchant with the target user portrait, determining a target merchant matched with the target user portrait, and displaying the information of the target merchant. According to the merchant information recommendation method provided by the invention, in the process that the mobile terminal recommends the information of the merchant to the user, the user portrait can be automatically constructed through the article characteristic information in the photo, and the information of the merchant matched with the user portrait is recommended to the user, so that the operation is convenient and fast, and the time is saved.
Description
Technical Field
The invention relates to the technical field of communication, in particular to a merchant information recommendation method and a mobile terminal.
Background
With the development of mobile communication technology, mobile terminals such as mobile phones and tablet computers are more and more popular, and people's daily life is still far from the mobile terminals. In order to meet the requirements of people, the mobile terminal has more and more functions, in particular to a business information recommendation function in the shopping process of a user. The user can quickly acquire the position of a merchant near the user and information such as sold commodities through the merchant information recommendation function of the mobile terminal, and convenience of the user in the shopping process is improved.
However, in the process of recommending merchant information to a user by a mobile terminal at present, the user is usually required to determine shopping information first and then input the shopping information into the mobile terminal in a text manner, and the mobile terminal acquires merchant information matched with the text according to the text input by the user, so that the operation is complicated and time-consuming, and the user experience effect is reduced. Therefore, the problems of complex operation and time consumption exist in the process of recommending merchant information to a user by the mobile terminal at present.
Disclosure of Invention
The embodiment of the invention provides a merchant information recommendation method and a mobile terminal, and aims to solve the problems of complex operation and time consumption in the process of recommending merchant information to a user by the mobile terminal at present.
In order to solve the technical problem, the invention is realized as follows:
in a first aspect, an embodiment of the present invention provides a merchant information recommendation method, applied to a mobile terminal, including:
carrying out image recognition on a target photo in the mobile terminal, and acquiring at least one item of feature information of a target article in the target photo;
constructing a user portrait model by using the at least one item of target article characteristic information to generate a target user portrait;
and matching preset commodity information of at least one merchant with the target user portrait, determining a target merchant matched with the target user portrait, and displaying the information of the target merchant.
In a second aspect, an embodiment of the present invention further provides a mobile terminal, including:
the characteristic information acquisition module is used for carrying out image recognition on the target photo in the mobile terminal and acquiring at least one item of characteristic information of the target object in the target photo;
the user portrait generation module is used for constructing a user portrait model by utilizing the at least one item of target article characteristic information to generate a target user portrait;
and the merchant information recommendation module is used for matching preset commodity information of at least one merchant with the target user portrait, determining a target merchant matched with the target user portrait and displaying the information of the target merchant.
In a third aspect, an embodiment of the present invention further provides a mobile terminal, which includes a processor, a memory, and a computer program stored on the memory and capable of running on the processor, where the computer program, when executed by the processor, implements the steps of the above-mentioned merchant information recommendation method.
In the merchant information recommendation method provided by the embodiment of the invention, image recognition is carried out on a target photo in the mobile terminal, and at least one item of target article characteristic information in the target photo is obtained; constructing a user portrait model by using the at least one item of target article characteristic information to generate a target user portrait; and matching preset commodity information of at least one merchant with the target user portrait, determining a target merchant matched with the target user portrait, and displaying the information of the target merchant. Therefore, in the process that the mobile terminal recommends the information of the merchants to the user, the user portrait can be automatically constructed through the article characteristic information in the photo, and the information of the merchants matched with the user portrait is recommended to the user, so that the operation is convenient and fast, and the time is saved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments of the present invention will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without inventive exercise.
Fig. 1 is a schematic flowchart of a merchant information recommendation method according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating another method for recommending merchant information according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a mobile terminal according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of another mobile terminal according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a feature information obtaining module in a mobile terminal according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of a feature information determining unit in a mobile terminal according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of another mobile terminal according to an embodiment of the present invention;
fig. 8 is a schematic diagram of a hardware structure of a mobile terminal according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, fig. 1 is a schematic flowchart of a merchant information recommendation method provided by an embodiment of the present invention, and is applied to a mobile terminal, as shown in fig. 1, including the following steps:
In the embodiment of the invention, when the mobile terminal detects that the mobile terminal enters a market area or logs in an online shopping platform, or is in a market or logs in the online shopping platform and the like, and receives an operation needing to recommend shop information, the mobile terminal can perform image recognition on the target photo and recognize at least one item of feature information of the target object in the target photo.
The target photo can be at least one photo in a mobile terminal specified by a user in advance; or the mobile terminal may automatically screen out at least one photo from the stored photos according to the scene where the mobile terminal is located or preset rules, for example: and the mobile terminal determines the picture taken by the user in the market before the current time as the target picture.
In addition, the image recognition of the target photo in the mobile terminal to obtain at least one item of feature information of the target item in the target photo may be that the mobile terminal recognizes the item in the target photo through an image recognition technology, and takes feature information of the item meeting preset conditions, such as shape, style, brand, color, and the like, as the feature information of the target item.
For example: if the target photos are photos 1, 2 and 3 respectively taking the user as a shooting object, and when the mobile terminal detects and/or receives an operation that the user needs to recommend shop information, the mobile terminal can recognize that the style of the clothes of the user in the photos 1 is a black one-piece dress, the style of the clothes of the user in the photos 2 is a white T-shirt, the style of the clothes of the user in the photos 3 is a yellow T-shirt, and the mobile terminal presets characteristic information of an article with the largest occurrence frequency in the target photos as target article characteristic information, the mobile terminal takes the style of the clothes as the T-shirt and the colors of the clothes as white and yellow as the target article characteristic information.
And 102, constructing a user portrait model by using the at least one item of target article characteristic information to generate a target user portrait.
In the embodiment of the present invention, if at least one item of target article characteristic information is obtained in step 101, the mobile terminal may construct a user representation model by using the at least one item of target article characteristic information through a user representation data modeling method, and generate a label and a weight of the label corresponding to the at least one item of target article characteristic information, so as to obtain a target user representation including the label and the weight of each label.
For example: taking the target photos as photo 1, photo 2 and photo 3 as examples, the at least one item of target feature information acquired by the mobile terminal includes that the style of clothes is T-shirt, and the color of clothes is white and yellow, and then the mobile terminal can generate the target user portrait including label 1 with label being T-shirt and weight 2, label 2 with label being white and weight 1, and label 3 with label being yellow and weight 1 by the user portrait data modeling method.
It should be noted that the user image data modeling method is well known to those skilled in the art, and will not be described herein.
And 103, matching preset commodity information of at least one merchant with the target user portrait, determining a target merchant matched with the target user portrait, and displaying information of the target merchant.
In the embodiment of the present invention, if the target user representation is obtained in step 102, the mobile terminal may obtain preset commodity information of each merchant in a shopping mall or a logged-in online shopping platform, match the preset commodity information of each merchant with the target user representation, and display information of the merchant with the preset commodity information matched with the target user representation, so as to implement recommendation of information of the merchant by the user.
The preset commodity information of each merchant can be that each merchant adds a label to a commodity in advance; the matching of the preset commodity information of at least one merchant with the target user portrait to determine the target merchant matched with the target user portrait can be realized by matching a label in the commodity information of each merchant with a label of the target user portrait by the mobile terminal, calculating the matching degree according to the matched label and the weight of the label, determining that the preset commodity information of the merchant is matched with the target portrait when the calculated matching degree of the merchant is greater than or equal to a preset matching degree threshold value, and determining the merchant as the target merchant.
For example: taking the target photos as photo 1, photo 2 and photo 3 as examples, the target user portrait includes tag 1 with weight of 2 and tag 2 with weight of 1 and tag 3 with weight of 1 and tag white; if the at least one merchant includes merchant 1, merchant 2 and merchant 3, and the preset commodity information of merchant 1 includes one-piece dress and black label, merchant 2 includes one-piece dress, white and yellow label, and merchant 3 includes T-shirt, yellow and black label, the mobile terminal may determine that the preset commodity information of merchant 1 does not match the label in the target user portrait, the preset merchant information of merchant 2 matches label 2 and label 3, and the preset merchant information of merchant 3 matches label 1 and label 3, then according to the weights of label 1, label 2 and label 3, the matching degrees when matching with label 1, label 2 and label 3 are respectively 50%, 25% and 25%, then the matching degree of merchant 1 is 0, the matching degree of merchant 2 is 50%, and the matching degree of merchant 3 is 75%, if the preset matching degree threshold is 70%, the mobile terminal determines the merchant 3 as the target merchant and displays the address or web address of the target merchant and the store name, etc.
In this embodiment of the present invention, the mobile terminal may be any mobile terminal with a merchant information recommendation function, for example: a Mobile phone, a Tablet Personal Computer (Tablet Personal Computer), a Laptop Computer (Laptop Computer), a Personal Digital Assistant (PDA), a Mobile Internet Device (MID), a Wearable Device (Wearable Device), or the like.
In the merchant information recommendation method provided by the embodiment of the invention, image recognition is carried out on a target photo in the mobile terminal, and at least one item of target article characteristic information in the target photo is obtained; constructing a user portrait model by using the at least one item of target article characteristic information to generate a target user portrait; and matching preset commodity information of at least one merchant with the target user portrait, determining a target merchant matched with the target user portrait, and displaying the information of the target merchant. Therefore, in the process that the mobile terminal recommends the merchant information to the user, the user portrait can be automatically constructed through the article characteristic information in the photo, and the merchant information matched with the user portrait is recommended to the user, so that the operation is convenient and fast, and the time is saved.
Referring to fig. 2, fig. 2 is a schematic flowchart of a merchant information recommendation method according to an embodiment of the present invention, and as shown in fig. 2, the method includes the following steps:
The implementation process and beneficial effects of this step can be referred to the description in step 101, and are not described herein again.
The target photo may be at least one photo in a mobile terminal specified by a user in advance, for example: if the user is in the food market, the user can select at least one food photo in the mobile terminal as the target photo.
Or, optionally, before the step 201, the method may further include: identifying the face image in each photo in the mobile terminal, and determining at least one photo matched with the face image of the target user as the target photo; or carrying out image recognition on the image in each photo in the mobile terminal, and determining at least one photo in which the gourmet image is recognized as the target photo. Therefore, the mobile terminal can automatically determine the target photo, so that the operation is more convenient and time-saving.
The identifying of the face image in each photo in the mobile terminal and the determining of at least one photo matching the face image with the face image of the target user as the target photo may be performed such that when the mobile terminal receives a merchant information recommendation operation input by the target user, the mobile terminal matches each face image in the stored photos with the face of the target user and determines the photo matching the face image of the target user as the target photo.
The target user is a user designated in advance, and may be the owner of the mobile terminal or a user other than the owner, which is not limited herein.
Optionally, step 201 may include: carrying out object segmentation recognition on the target picture, and recognizing an article in the target picture; searching article characteristic information of each article in the target photo in a database; and determining each item characteristic information meeting the preset condition as an item target item characteristic information in the at least one item of target item characteristic information.
In this embodiment, the database may be a local database or a network database, and the mobile terminal may search for the article characteristic information of each article in the target photograph through the database, and determine each article characteristic information meeting a preset condition as one item target article characteristic information in the at least one item target article characteristic information, so that the obtained target article characteristic information is more comprehensive, so that the user portrait obtained through the target article characteristic information can better reflect the behavior habits, consumption habits, and the like of the user, and more accurate merchant information can be recommended to the user.
The item target item feature information in the at least one item of target item feature information is determined by the item feature information meeting the preset condition, which may be that the mobile terminal counts the occurrence frequency of each item feature information in the target picture in all found item feature information, and determines the item feature information of which the occurrence frequency is greater than or equal to a preset threshold value as the target item feature information.
Or, further optionally, the step of determining each item feature information meeting the preset condition as an item target item feature information in the at least one item of target item feature information may include: classifying all the searched article characteristic information according to type attributes to obtain at least one characteristic category, wherein each characteristic category in the at least one characteristic category comprises at least one item of article characteristic information; counting the number of the articles in each feature category, wherein the article feature information is matched with the article in the target photo; and determining the item characteristic information with the largest number of items matched in each characteristic category as item target item characteristic information in the at least one item of target item characteristic information, so that the types of the obtained target item characteristic information are richer, the target item characteristic information can reflect the behavior habits, the consumption habits and the like of the user better, and the accuracy of recommending merchant information is further improved.
For example: the mobile terminal divides a single-shoulder bag 1, a single-shoulder bag 2, a handbag 1, a handbag 2 and a backpack 1 from the target photo, and inquires in a database to obtain the article characteristic information of the single-shoulder bag 1, including a brand 1, a neutralized style and black, the article characteristic information of the single-shoulder bag 2, including a brand 2, an lady style and red, the article characteristic information of the handbag 1, including a brand 1, an lady style and red, the article characteristic information of the handbag 2, including a brand 1, an lady style and red, the article characteristic information of the backpack 1, including a brand 2, a neutralized style and red, the mobile terminal classifies all the article characteristic information into three categories of brand, style and color according to the occurrence frequency of each article characteristic information in the target photo, brand 1 appeared 3 times, brand 2 appeared 2 times; the neutralization style appears for 2 times, and the gentlewoman style appears for 3 times; and black appears 1 time, and red appears 4 times, the mobile terminal determines brand 1, gentlewoman style and red as the characteristic information of the target object.
And 202, constructing a user portrait model by utilizing the at least one item of target article characteristic information to generate a target user portrait.
In an embodiment of the present invention, if at least one item of target feature information is obtained in step 201, the mobile terminal may construct a user representation model by using the at least one item of target feature information, and generate a label and a weight of the label corresponding to the at least one item of target feature information, so as to obtain a target user representation including the label and the weight of each label.
For example: taking the above-mentioned mobile terminal as an example of dividing the one-shoulder bag 1, the one-shoulder bag 2, the handbag 1, the handbag 2, and the backpack 1 into the target photo, if the mobile terminal determines all of brand 1, gentlewoman style, and red as the target item feature information, the mobile terminal may generate the tag 4 tagged with brand 1, the tag 5 tagged with gentlewoman style, and the tag 6 tagged with red, and may determine the weight of each tag according to the number of times that each target item feature information appears in the target photo, that is, the weight of the tag 4 is 3, the weight of the tag 5 is 3, and the weight of the tag 6 is 4, thereby generating the target user figure including the tag 4 with weight 3, the tag 5 with weight 3, and the tag 6 with weight 4.
In this embodiment, if the target user image is obtained in step 202, the mobile terminal may query all the received text information, and determine the text information associated with the target user image as the target text information.
The text information can be instant chat text information, short message text information, note book text information and the like in the mobile terminal; the text information associated with the target user image may be text information describing a consumption behavior habit, a living behavior habit, and the like of the user corresponding to the target user image.
For example: the user corresponding to the target user image is the owner of the mobile terminal, and the owner mentions that the purchased clothes and package equivalent lattice is usually higher than 5000 in the history chatting record with other people, so that the mobile terminal determines the text information of the purchased clothes and package equivalent lattice which is usually higher than 5000 as the target text information.
The text information in the mobile terminal may be a text information input before the current time, or a text information input at the current time, and is not limited herein.
And step 204, performing information fusion on the target text information and the target user portrait.
In the embodiment of the present invention, if the target text information is obtained in step 203, the mobile terminal may perform information fusion on the target text information and the target user representation through an information fusion technology to generate the user representation including the tag associated with the target text information and the weight of the tag, so that the newly generated user representation can reflect the living habits and the consumption habits of the user.
The mobile terminal performs information fusion on the target text information and the target user portrait through an information fusion technology, and may perform statistical learning, multi-feature fusion and verification and feature normalization to generate a label associated with the target text information, give a weight to the label associated with the target text information, and add the label associated with the target text information and the weight of the label to the target user portrait.
For example: taking the target user representation comprising tag 4 with weight 3, tag 5 with weight 3, and tag 6 with weight 4, and the target text information "purchased clothing and package equivalent is usually higher than 5000" as examples, the mobile terminal may generate tag 7 with price higher than 5000, and give tag 7 weight 5, the mobile terminal may perform information fusion between the target text information and the target user representation to generate a user representation comprising tag 4 with weight 3, tag 5 with weight 3, tag 6 with weight 4, and tag 7 with weight 5.
In the embodiment of the present invention, if the information fusion of the target information text and the target user portrait is completed in step 204, the mobile terminal may obtain preset commodity information of each merchant in a shopping mall where the mobile terminal is located or a logged-in online shopping platform, match the preset commodity information of each merchant with the target user portrait fused with the target text information, and display information of the merchant matched with the target user portrait fused with the target text information, so as to implement recommendation of information of the merchant for the user.
For example: taking the target user portrait fused with the target text information as an example, where the target user portrait includes a tag 4 with a weight of 3, a tag 5 with a weight of 3, a tag 6 with a weight of 4, and a tag 7 with a weight of 5, and the mobile terminal obtains preset commodity information of a merchant 4 in a shopping mall, which includes the tag 5, the tag 6, and the tag 7, and the preset commodity information of the merchant 5 includes the tag 4 and the tag 7, the mobile terminal determines the merchant 4 as the target merchant and displays an address of the merchant 4.
The merchant information recommendation method of the embodiment of the invention obtains the text information in the mobile terminal, and determines the text information associated with the target user image as the target text information; performing information fusion on the target text information and the target user portrait; and matching the preset commodity information of at least one merchant with the target user portrait fused with the target text information, determining a target merchant with the preset commodity information matched with the target user portrait fused with the target text information, and displaying the merchant information of the target merchant, so that the obtained user portrait can reflect the behavior habits, the consumption habits and the like of the user, and more accurate merchant information can be recommended to the user.
Referring to fig. 3, fig. 3 is a schematic structural diagram of a mobile terminal according to an embodiment of the present invention, and as shown in fig. 3, a mobile terminal 300 includes a feature information obtaining module 301, a user portrait generating module 302, and a merchant information recommending module 303, which are connected in sequence:
a feature information obtaining module 301, configured to perform image recognition on a target photo in the mobile terminal, and obtain at least one item of feature information of a target article in the target photo;
a user representation generation module 302, configured to perform user representation model construction using the at least one item of target article feature information, and generate a target user representation;
and the merchant information recommending module 303 is configured to match preset commodity information of at least one merchant with the target user portrait, determine a target merchant matched with the target user portrait, and display information of the target merchant.
Optionally, as shown in fig. 4, the mobile terminal further includes:
a text information obtaining module 304, configured to obtain text information in the mobile terminal, and determine the text information associated with the target user image as target text information;
an information fusion module 305, configured to perform information fusion on the target text information and the target user portrait;
the merchant information recommending module 303 is further configured to match preset commodity information of at least one merchant with the target user portrait fused with the target text information, determine a target merchant matched with the target user portrait fused with the target text information, and display information of the target merchant.
Optionally, as shown in fig. 5, the feature information obtaining module 301 includes:
an article recognition unit 3011, configured to perform object segmentation recognition on the target picture, and recognize an article in the target picture;
a characteristic information search unit 3012, configured to search, in a database, item characteristic information of each item in the target photo;
a characteristic information determining unit 3013, configured to determine, as an item target item characteristic information in the at least one item of target item characteristic information, each item characteristic information that satisfies a preset condition.
Optionally, as shown in fig. 6, the characteristic information determining unit 3013 includes:
a classifying subunit 30131, configured to classify all found article feature information according to type attributes to obtain at least one feature category, where each feature category in the at least one feature category includes at least one item of article feature information;
a statistics subunit 30132, configured to count, in each feature category, the number of articles whose feature information is matched to the target photograph;
a determining subunit 30133, configured to determine, as an item target item feature information in the at least one item of target item feature information, item feature information in which the number of items matched in each feature category is the largest.
Optionally, as shown in fig. 6, the mobile terminal further includes:
a target photo determining module 306, configured to identify a face image in each photo in the mobile terminal, and determine at least one photo in which the face image matches a face image of a target user as the target photo; or carrying out image recognition on the image in each photo in the mobile terminal, and determining at least one photo in which the gourmet image is recognized as the target photo.
The mobile terminal 300 can implement each process implemented by the mobile terminal in the method embodiments of fig. 1 and fig. 2, and is not described herein again to avoid repetition.
The mobile terminal 300 of the embodiment of the invention acquires at least one item of feature information of a target article in a target photo by performing image recognition on the target photo in the mobile terminal; constructing a user portrait model by using the at least one item of target article characteristic information to generate a target user portrait; and matching preset commodity information of at least one merchant with the target user portrait, determining a target merchant matched with the target user portrait, and displaying the information of the target merchant. Therefore, in the process that the mobile terminal recommends the information of the merchants to the user, the user portrait can be automatically constructed through the article characteristic information in the photo, and the information of the merchants matched with the user portrait is recommended to the user, so that the operation is convenient and fast, and the time is saved.
Fig. 8 is a schematic diagram of a hardware structure of a mobile terminal for implementing various embodiments of the present invention, where the mobile terminal 800 includes, but is not limited to: radio frequency unit 801, network module 802, audio output unit 803, input unit 804, sensor 805, display unit 806, user input unit 807, interface unit 808, memory 809, processor 810, and power supply 811, the display unit 806 being a flexible screen that can be bent. Those skilled in the art will appreciate that the mobile terminal architecture illustrated in fig. 8 is not intended to be limiting of mobile terminals, and that a mobile terminal may include more or fewer components than those illustrated, or some components may be combined, or a different arrangement of components. In the embodiment of the present invention, the mobile terminal includes, but is not limited to, a mobile phone, a tablet computer, a notebook computer, a palm computer, a vehicle-mounted terminal, a wearable device, a pedometer, and the like.
The processor 810 is configured to perform image recognition on a target photo in the mobile terminal, and acquire at least one item of feature information of a target item in the target photo; constructing a user portrait model by using the at least one item of target article characteristic information to generate a target user portrait; and matching preset commodity information of at least one merchant with the target user portrait, determining a target merchant matched with the target user portrait, and displaying the information of the target merchant.
Optionally, the processor 810 is further configured to: acquiring text information in the mobile terminal, and determining the text information associated with the target user image as target text information; performing information fusion on the target text information and the target user portrait; and matching preset commodity information of at least one merchant with the target user portrait fused with the target text information, determining a target merchant matched with the target user portrait fused with the target text information, and displaying information of the target merchant.
Optionally, the processor 810 is further configured to: carrying out object segmentation recognition on the target picture, and recognizing an article in the target picture; searching article characteristic information of each article in the target photo in a database; and determining each item characteristic information meeting the preset condition as an item target item characteristic information in the at least one item of target item characteristic information.
Optionally, the processor 810 is further configured to: classifying all the searched article characteristic information according to type attributes to obtain at least one characteristic category, wherein each characteristic category in the at least one characteristic category comprises at least one item of article characteristic information; counting the number of the articles in each feature category, wherein the article feature information is matched with the article in the target photo; and determining the item feature information with the maximum number of the matched items in each feature category as item target item feature information in the at least one item of target item feature information.
Optionally, the processor 810 is further configured to: identifying the face image in each photo in the mobile terminal, and determining at least one photo matched with the face image of the target user as the target photo; or carrying out image recognition on the image in each photo in the mobile terminal, and determining at least one photo in which the gourmet image is recognized as the target photo.
The mobile terminal 800 can implement each process implemented by the mobile terminal in the foregoing embodiments, and details are not repeated here to avoid repetition.
The mobile terminal 800 of the embodiment of the invention acquires at least one item of feature information of a target article in a target photo by performing image recognition on the target photo in the mobile terminal; constructing a user portrait model by using the at least one item of target article characteristic information to generate a target user portrait; and matching preset commodity information of at least one merchant with the target user portrait, determining a target merchant matched with the target user portrait, and displaying the information of the target merchant. Therefore, in the process that the mobile terminal recommends the information of the merchants to the user, the user portrait can be automatically constructed through the article characteristic information in the photo, and the information of the merchants matched with the user portrait is recommended to the user, so that the operation is convenient and fast, and the time is saved.
It should be understood that, in the embodiment of the present invention, the radio frequency unit 801 may be used for receiving and sending signals during a message sending and receiving process or a call process, and specifically, receives downlink data from a base station and then processes the received downlink data to the processor 810; in addition, the uplink data is transmitted to the base station. In general, radio frequency unit 801 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like. Further, the radio frequency unit 801 can also communicate with a network and other devices through a wireless communication system.
The mobile terminal provides the user with wireless broadband internet access through the network module 802, such as helping the user send and receive e-mails, browse webpages, access streaming media, and the like.
The audio output unit 803 may convert audio data received by the radio frequency unit 801 or the network module 802 or stored in the memory 809 into an audio signal and output as sound. Also, the audio output unit 803 may also provide audio output related to a specific function performed by the mobile terminal 800 (e.g., a call signal reception sound, a message reception sound, etc.). The audio output unit 803 includes a speaker, a buzzer, a receiver, and the like.
The input unit 804 is used for receiving an audio or video signal. The input Unit 804 may include a Graphics Processing Unit (GPU) 8041 and a microphone 8042, and the Graphics processor 8041 processes image data of a still picture or video obtained by an image capturing device (such as a camera) in a video capturing mode or an image capturing mode. The processed image frames may be displayed on the display unit 806. The image frames processed by the graphics processor 8041 may be stored in the memory 809 (or other storage medium) or transmitted via the radio frequency unit 801 or the network module 802. The microphone 8042 can receive sound, and can process such sound into audio data. The processed audio data may be converted into a format output transmittable to a mobile communication base station via the radio frequency unit 801 in case of a phone call mode.
The mobile terminal 800 also includes at least one sensor 805, such as light sensors, motion sensors, and other sensors. Specifically, the light sensor includes an ambient light sensor that can adjust the brightness of the display panel 8061 according to the brightness of ambient light, and a proximity sensor that can turn off the display panel 8061 and/or the backlight when the mobile terminal 800 moves to the ear. As one of the motion sensors, the accelerometer sensor can detect the magnitude of acceleration in each direction (generally three axes), detect the magnitude and direction of gravity when stationary, and can be used to identify the posture of the mobile terminal (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), and vibration identification related functions (such as pedometer, tapping); the sensors 805 may also include fingerprint sensors, pressure sensors, iris sensors, molecular sensors, gyroscopes, barometers, hygrometers, thermometers, infrared sensors, etc., which are not described in detail herein.
The display unit 806 is used to display information input by the user or information provided to the user. The Display unit 806 may include a Display panel 8061, and the Display panel 8061 may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like.
The user input unit 807 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the mobile terminal. Specifically, the user input unit 807 includes a touch panel 8071 and other input devices 8072. The touch panel 8071, also referred to as a touch screen, may collect touch operations by a user on or near the touch panel 8071 (e.g., operations by a user on or near the touch panel 8071 using a finger, a stylus, or any other suitable object or accessory). The touch panel 8071 may include two portions of a touch detection device and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 810, receives a command from the processor 810, and executes the command. In addition, the touch panel 8071 can be implemented by various types such as a resistive type, a capacitive type, an infrared ray, and a surface acoustic wave. In addition to the touch panel 8071, the user input unit 807 can include other input devices 8072. In particular, other input devices 8072 may include, but are not limited to, a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, a mouse, and a joystick, which are not described in detail herein.
Further, the touch panel 8071 can be overlaid on the display panel 8061, and when the touch panel 8071 detects a touch operation on or near the touch panel 8071, the touch operation is transmitted to the processor 810 to determine the type of the touch event, and then the processor 810 provides a corresponding visual output on the display panel 8061 according to the type of the touch event. Although in fig. 8, the touch panel 8071 and the display panel 8061 are two independent components to implement the input and output functions of the mobile terminal, in some embodiments, the touch panel 8071 and the display panel 8061 may be integrated to implement the input and output functions of the mobile terminal, which is not limited herein.
The interface unit 808 is an interface through which an external device is connected to the mobile terminal 800. For example, the external device may include a wired or wireless headset port, an external power supply (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device having an identification module, an audio input/output (I/O) port, a video I/O port, an earphone port, and the like. The interface unit 808 may be used to receive input (e.g., data information, power, etc.) from external devices and transmit the received input to one or more elements within the mobile terminal 800 or may be used to transmit data between the mobile terminal 800 and external devices.
The memory 809 may be used to store software programs as well as various data. The memory 809 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. Further, the memory 809 can include high speed random access memory, and can also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.
The processor 810 is a control center of the mobile terminal, connects various parts of the entire mobile terminal using various interfaces and lines, and performs various functions of the mobile terminal and processes data by running or executing software programs and/or modules stored in the memory 809 and calling data stored in the memory 809, thereby integrally monitoring the mobile terminal. Processor 810 may include one or more processing units; preferably, the processor 810 may integrate an application processor, which mainly handles operating systems, user interfaces, application programs, etc., and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into processor 810.
The mobile terminal 800 may also include a power supply 811 (e.g., a battery) for powering the various components, and the power supply 811 may be logically coupled to the processor 810 via a power management system that may be used to manage charging, discharging, and power consumption.
In addition, the mobile terminal 800 includes some functional modules that are not shown, and thus, are not described in detail herein.
Preferably, an embodiment of the present invention further provides a mobile terminal, which includes a processor 810, a memory 809, and a computer program stored in the memory 809 and capable of running on the processor 810, where the computer program, when executed by the processor 810, implements each process of the above-mentioned merchant information recommendation method embodiment, and can achieve the same technical effect, and in order to avoid repetition, details are not described here again.
The embodiment of the invention also provides a computer-readable storage medium, wherein a computer program is stored on the computer-readable storage medium, and when being executed by a processor, the computer program realizes each process of the above merchant information recommendation method embodiment, and can achieve the same technical effect, and in order to avoid repetition, the details are not repeated here. The computer-readable storage medium may be a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (9)
1. A merchant information recommendation method is applied to a mobile terminal and is characterized by comprising the following steps:
carrying out image recognition on a target photo in the mobile terminal, and acquiring at least one item of feature information of a target article in the target photo; the target picture is a picture taking a target user as a shooting object;
constructing a user portrait model by using the at least one item of target article characteristic information to generate a target user portrait;
matching preset commodity information of at least one merchant with the target user portrait, determining a target merchant matched with the target user portrait, and displaying information of the target merchant;
the step of performing image recognition on the target photo in the mobile terminal and acquiring at least one item of feature information of the target article in the target photo comprises the following steps:
carrying out object segmentation recognition on the target picture, and recognizing an article in the target picture;
searching article characteristic information of each article in the target photo in a database;
determining each item characteristic information meeting preset conditions as an item target item characteristic information in the at least one item of target item characteristic information;
the step of determining each item feature information meeting the preset condition as an item target item feature information in the at least one item of target item feature information is as follows: and the mobile terminal counts the occurrence frequency of each article characteristic information in the target picture in all the searched article characteristic information, and determines the article characteristic information of which the occurrence frequency is greater than or equal to a preset threshold value as the target article characteristic information.
2. The method of claim 1, wherein the step of generating a target user representation using the at least one item of target item characteristic information for user representation model construction further comprises, after the step of:
acquiring text information in the mobile terminal, and determining the text information associated with the target user image as target text information;
performing information fusion on the target text information and the target user portrait;
the step of matching preset commodity information of at least one merchant with the target user portrait, determining a target merchant matched with the target user portrait, and displaying information of the target merchant comprises the following steps:
and matching preset commodity information of at least one merchant with the target user portrait fused with the target text information, determining a target merchant matched with the target user portrait fused with the target text information, and displaying information of the target merchant.
3. The method according to claim 1, wherein the step of determining each item feature information satisfying a preset condition as an item target item feature information in the at least one item target item feature information comprises:
classifying all the searched article characteristic information according to type attributes to obtain at least one characteristic category, wherein each characteristic category in the at least one characteristic category comprises at least one item of article characteristic information;
counting the number of the articles in each feature category, wherein the article feature information is matched with the article in the target photo;
and determining the item feature information with the maximum number of the matched items in each feature category as item target item feature information in the at least one item of target item feature information.
4. The method according to claim 1 or 2, wherein before the step of performing image recognition on the target photo in the mobile terminal and acquiring at least one item of feature information of the target item in the target photo, the method further comprises:
identifying the face image in each photo in the mobile terminal, and determining at least one photo matched with the face image of the target user as the target photo; or
And performing image recognition on the image in each photo in the mobile terminal, and determining at least one photo in which the gourmet image is recognized as the target photo.
5. A mobile terminal, comprising:
the characteristic information acquisition module is used for carrying out image recognition on the target photo in the mobile terminal and acquiring at least one item of characteristic information of the target object in the target photo; the target picture is a picture taking a target user as a shooting object;
the user portrait generation module is used for constructing a user portrait model by utilizing the at least one item of target article characteristic information to generate a target user portrait;
the merchant information recommendation module is used for matching preset commodity information of at least one merchant with the target user portrait, determining a target merchant matched with the target user portrait and displaying information of the target merchant;
the characteristic information acquisition module comprises:
the article identification unit is used for carrying out object segmentation identification on the target photo and identifying an article in the target photo;
the characteristic information searching unit is used for searching article characteristic information of each article in the target photo in a database;
the characteristic information determining unit is used for determining each item characteristic information meeting the preset condition as an item target item characteristic information in the at least one item of target item characteristic information;
the feature information determining unit is specifically configured to: and the mobile terminal counts the occurrence frequency of each article characteristic information in the target picture in all the searched article characteristic information, and determines the article characteristic information of which the occurrence frequency is greater than or equal to a preset threshold value as the target article characteristic information.
6. The mobile terminal of claim 5, wherein the mobile terminal further comprises:
the text information acquisition module is used for acquiring text information in the mobile terminal and determining the text information associated with the target user image as target text information;
the information fusion module is used for carrying out information fusion on the target text information and the target user portrait;
the merchant information recommending module is further used for matching preset commodity information of at least one merchant with the target user portrait fused with the target text information, determining a target merchant matched with the target user portrait fused with the target text information, and displaying information of the target merchant.
7. The mobile terminal according to claim 5, wherein the feature information determining unit includes:
the classification subunit is configured to classify all the found article feature information according to type attributes to obtain at least one feature category, where each feature category in the at least one feature category includes at least one item of article feature information;
the counting subunit is used for counting the number of the articles in each feature category, of which the feature information of each article is matched with the target photo;
and the determining subunit is configured to determine, as an item target item feature information in the at least one item of target item feature information, the item feature information with the largest number of items matched in each feature category.
8. The mobile terminal according to claim 5 or 6, characterized in that the mobile terminal further comprises:
the target photo determining module is used for identifying the face image in each photo in the mobile terminal and determining at least one photo matched with the face image of the target user as the target photo; or carrying out image recognition on the image in each photo in the mobile terminal, and determining at least one photo in which the gourmet image is recognized as the target photo.
9. A mobile terminal comprising a processor, a memory, and a computer program stored on the memory and operable on the processor, the computer program when executed by the processor implementing the steps of the merchant information recommendation method of any one of claims 1 to 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810310713.6A CN108520058B (en) | 2018-03-30 | 2018-03-30 | Merchant information recommendation method and mobile terminal |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810310713.6A CN108520058B (en) | 2018-03-30 | 2018-03-30 | Merchant information recommendation method and mobile terminal |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108520058A CN108520058A (en) | 2018-09-11 |
| CN108520058B true CN108520058B (en) | 2021-09-24 |
Family
ID=63432197
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810310713.6A Active CN108520058B (en) | 2018-03-30 | 2018-03-30 | Merchant information recommendation method and mobile terminal |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108520058B (en) |
Families Citing this family (21)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109376313B (en) * | 2018-09-28 | 2021-05-25 | Oppo广东移动通信有限公司 | Information recommendation method and device, terminal and storage medium |
| CN111127060B (en) * | 2018-10-31 | 2023-08-08 | 百度在线网络技术（北京）有限公司 | Method and device for determining popularization users of service |
| CN109740010A (en) * | 2018-12-29 | 2019-05-10 | 上海诚数信息科技有限公司 | The analysis method and system of the photograph album of intelligent terminal |
| CN110245719B (en) * | 2019-03-27 | 2024-05-07 | 中国海洋大学 | Feature fusion method for entity and user portraits |
| CN111754283A (en) * | 2019-03-29 | 2020-10-09 | 阿里巴巴集团控股有限公司 | Merchant information acquisition method, merchant information collection method, merchant information processing method and electronic equipment |
| WO2020232616A1 (en) * | 2019-05-20 | 2020-11-26 | 深圳市欢太科技有限公司 | Information recommendation method and apparatus, and electronic device and storage medium |
| WO2020232615A1 (en) * | 2019-05-20 | 2020-11-26 | 深圳市欢太科技有限公司 | Information recommendation method and apparatus, and electronic device and storage medium |
| CN110413825B (en) * | 2019-06-21 | 2023-12-01 | 东华大学 | Street-clapping recommendation system oriented to fashion electronic commerce |
| CN110471586B (en) * | 2019-07-15 | 2023-04-25 | 平安科技（深圳）有限公司 | Project recommendation method, apparatus, computer device and storage medium |
| CN110472145B (en) * | 2019-07-25 | 2022-11-29 | 维沃移动通信有限公司 | Content recommendation method and electronic equipment |
| CN110399516A (en) * | 2019-07-29 | 2019-11-01 | 拉扎斯网络科技（上海）有限公司 | A kind of method, apparatus of image procossing, readable storage medium storing program for executing and electronic equipment |
| CN110765170A (en) * | 2019-09-26 | 2020-02-07 | 维沃移动通信有限公司 | User portrait generation method and wearable device |
| CN112837107B (en) * | 2019-11-22 | 2023-10-24 | 上海哔哩哔哩科技有限公司 | Cross-platform commodity recommendation method and device and computer equipment |
| CN111143697B (en) * | 2020-01-02 | 2023-03-21 | 腾讯科技（深圳）有限公司 | Content recommendation method and related device |
| CN116843375A (en) * | 2020-02-03 | 2023-10-03 | 支付宝(杭州)信息技术有限公司 | Method and device for depicting merchant portrait, electronic equipment, verification method and system |
| CN111445296B (en) * | 2020-04-13 | 2020-11-06 | 广州市细行信息技术有限公司 | Electronic commerce system based on big data cloud platform |
| CN111461838A (en) * | 2020-05-29 | 2020-07-28 | 宁波科友信息科技有限公司 | Management system and management method of network mall |
| CN112037041A (en) * | 2020-09-02 | 2020-12-04 | 中国银行股份有限公司 | Product recommendation method, device and equipment based on bank outlet number calling machine |
| CN112200631B (en) * | 2020-10-12 | 2022-06-24 | 支付宝(杭州)信息技术有限公司 | Industry classification model training method and device |
| CN112215656A (en) * | 2020-10-13 | 2021-01-12 | 湖南亚信软件有限公司 | User portrait generation method and device, electronic equipment and computer readable storage medium |
| CN117436989A (en) * | 2023-11-06 | 2024-01-23 | 海通证券股份有限公司 | Item collocation recommendation method and device, electronic equipment and storage medium |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105608230A (en) * | 2016-02-03 | 2016-05-25 | 南京云创大数据科技股份有限公司 | Image retrieval based business information recommendation system and image retrieval based business information recommendation method |
| CN107133854A (en) * | 2017-05-26 | 2017-09-05 | 北京小度信息科技有限公司 | Information recommendation method and device |
| CN107423442A (en) * | 2017-08-07 | 2017-12-01 | 火烈鸟网络(广州)股份有限公司 | Method and system, storage medium and computer equipment are recommended in application based on user's portrait behavioural analysis |
| CN107679211A (en) * | 2017-10-17 | 2018-02-09 | 百度在线网络技术（北京）有限公司 | Method and apparatus for pushed information |
| CN107704571A (en) * | 2017-09-29 | 2018-02-16 | 努比亚技术有限公司 | Information intelligent recommends method, apparatus and computer-readable recording medium |
| CN107730343A (en) * | 2017-09-15 | 2018-02-23 | 广州唯品会研究院有限公司 | A kind of user's merchandise news method for pushing and equipment based on picture attribute extraction |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105335365A (en) * | 2014-05-30 | 2016-02-17 | 小米科技有限责任公司 | Method and apparatus for placing order, server and terminal |
| US9495694B1 (en) * | 2016-02-29 | 2016-11-15 | International Business Machines Corporation | Product recommendations based on analysis of social experiences |
| CN105260480A (en) * | 2015-11-09 | 2016-01-20 | 魅族科技（中国）有限公司 | Information recommendation method and terminal |
| US10290032B2 (en) * | 2016-03-31 | 2019-05-14 | Criteo Sa | Blacklisting based on image feature analysis and collaborative filtering |
| CN107358451A (en) * | 2017-07-17 | 2017-11-17 | 竹间智能科技（上海）有限公司 | A kind of interactive intelligent witch mirror |
| CN107403359A (en) * | 2017-07-20 | 2017-11-28 | 义乌洞开网络科技有限公司 | A kind of accurate commending system of electric business platform commodity and its method |
| CN107656969A (en) * | 2017-08-31 | 2018-02-02 | 深圳市谷熊网络科技有限公司 | A kind of information recommendation method and device |
-
2018
- 2018-03-30 CN CN201810310713.6A patent/CN108520058B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105608230A (en) * | 2016-02-03 | 2016-05-25 | 南京云创大数据科技股份有限公司 | Image retrieval based business information recommendation system and image retrieval based business information recommendation method |
| CN107133854A (en) * | 2017-05-26 | 2017-09-05 | 北京小度信息科技有限公司 | Information recommendation method and device |
| CN107423442A (en) * | 2017-08-07 | 2017-12-01 | 火烈鸟网络(广州)股份有限公司 | Method and system, storage medium and computer equipment are recommended in application based on user's portrait behavioural analysis |
| CN107730343A (en) * | 2017-09-15 | 2018-02-23 | 广州唯品会研究院有限公司 | A kind of user's merchandise news method for pushing and equipment based on picture attribute extraction |
| CN107704571A (en) * | 2017-09-29 | 2018-02-16 | 努比亚技术有限公司 | Information intelligent recommends method, apparatus and computer-readable recording medium |
| CN107679211A (en) * | 2017-10-17 | 2018-02-09 | 百度在线网络技术（北京）有限公司 | Method and apparatus for pushed information |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108520058A (en) | 2018-09-11 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108520058B (en) | Merchant information recommendation method and mobile terminal | |
| CN111652678B (en) | Method, device, terminal, server and readable storage medium for displaying article information | |
| CN109032734B (en) | Background application program display method and mobile terminal | |
| CN109917979B (en) | Searching method and mobile terminal | |
| CN107846352B (en) | Information display method and mobile terminal | |
| CN108494947B (en) | Image sharing method and mobile terminal | |
| CN108415652B (en) | Text processing method and mobile terminal | |
| CN108334196B (en) | File processing method and mobile terminal | |
| WO2020011077A1 (en) | Notification message displaying method and terminal device | |
| CN109032719B (en) | Object recommendation method and terminal | |
| CN109005336B (en) | Image shooting method and terminal equipment | |
| CN109561211B (en) | Information display method and mobile terminal | |
| CN108460817B (en) | Jigsaw puzzle method and mobile terminal | |
| CN110674662A (en) | Scanning method and terminal equipment | |
| CN109495616B (en) | Photographing method and terminal equipment | |
| CN109388456B (en) | Head portrait selection method and mobile terminal | |
| CN110162653B (en) | Image-text sequencing recommendation method and terminal equipment | |
| CN108765522B (en) | Dynamic image generation method and mobile terminal | |
| CN110795002A (en) | Screenshot method and terminal equipment | |
| CN109658198B (en) | Commodity recommendation method and mobile terminal | |
| CN109286726B (en) | Content display method and terminal equipment | |
| CN109669710B (en) | Note processing method and terminal | |
| CN108346083B (en) | Information processing method and mobile terminal | |
| CN110908751B (en) | Information display and collection method and device, electronic equipment and medium | |
| CN109670105B (en) | Searching method and mobile terminal |
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 |