Method, device and apparatus for clothing recommendation

Abstract

The present application relates to the technical field of clothing recommendation, and discloses a method for clothing recommendation. It includes: obtaining temperature information, and obtaining clothing scores and clothing warmth of existing clothing; obtaining clothing matching according to temperature information and clothing warmth; obtaining a recommendation index according to clothing matching and clothing scores; and obtaining clothing recommendation information according to the recommendation index. By obtaining the clothing matching corresponding to the existing clothing and the temperature information, and obtaining a recommendation index according to the clothing scores and clothing matching of the existing clothing, clothing recommendations are made, which enriches the dimensions of clothing recommendations, so that the recommended clothing can reflect different clothing evaluations while matching the temperature, and enriches the user's considerations when selecting recommended clothing. At the same time, as the clothing score changes, even if the temperature is the same, the clothing recommendation result will change, which increases the user's sense of freshness when obtaining clothing recommendations. The present application also discloses a device and equipment for clothing recommendation.

Description

Technical Field

[0001] The present application relates to the technical field of clothing recommendation, for example, to a method, device and apparatus for clothing recommendation. Background Art

[0002] In daily life, most people need to go out to work, study, go shopping, etc. Some people even go on business trips to other places. The temperature in different places varies greatly. Therefore, before going out, users often open some websites or applications that can query the weather on their mobile phones, and then select clothes from the wardrobe according to the queried weather conditions. However, there are usually many kinds of clothes to choose from in different weather conditions. Users often feel entangled and make inaccurate judgments on whether the clothes are suitable for a certain temperature. Therefore, the decision-making process often takes a part of the user's time, and there will still be situations where the wrong clothes are worn, causing the user to feel too hot or too cold after going out.

[0003] In the process of implementing the embodiments of the present disclosure, it is found that there are at least the following problems in the related art: it is difficult for users to choose clothes suitable for the weather based on their own experience. Summary of the invention

[0004] In order to provide a basic understanding of some aspects of the disclosed embodiments, a brief summary is given below. The summary is not an extensive review, nor is it intended to identify key / critical components or delineate the scope of protection of these embodiments, but rather serves as a prelude to the detailed description that follows.

[0005] Embodiments of the present disclosure provide a method, apparatus, and device for clothing recommendation, so as to recommend clothing to a user according to the temperature.

[0006] In some embodiments, the method comprises:

[0007] Get temperature information, and get clothing ratings and clothing warmth of existing clothing;

[0008] Obtaining clothing matching degree according to the temperature information and clothing warmth retention;

[0009] Obtaining a recommendation index according to the clothing matching degree and the clothing score;

[0010] Clothing recommendation information is obtained according to the recommendation index.

[0011] In some embodiments, the apparatus for clothing recommendation includes: a processor and a memory storing program instructions, and the processor is configured to execute the above-mentioned method for clothing recommendation when executing the program instructions.

[0012] In some embodiments, the apparatus comprises the device for clothing recommendations as described above.

[0013] The method, apparatus and device for clothing recommendation provided by the embodiments of the present disclosure can achieve the following technical effects:

[0014] By obtaining the clothing matching degree corresponding to the existing clothing and the temperature information, and obtaining the recommendation index based on the clothing score and clothing matching degree of the existing clothing, clothing recommendations are made, which enriches the dimensions of clothing recommendations, so that the recommended clothing can reflect different clothing evaluations while matching the temperature factor, enriching the factors that users consider when choosing recommended clothing. At the same time, as the clothing score changes, even if the temperature is the same, the clothing recommendation results in different periods will also change, which increases the user's sense of freshness when receiving clothing recommendations.

[0015] The above general description and the following description are exemplary and explanatory only and are not intended to limit the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] One or more embodiments are exemplarily described by corresponding drawings, which do not limit the embodiments. Elements with the same reference numerals in the drawings are shown as similar elements, and the drawings do not constitute a scale limitation, and wherein:

[0017] Figure 1 is a schematic diagram of a method for clothing recommendation provided by an embodiment of the present disclosure;

[0018] Figure 2 It is a schematic diagram of a device for clothing recommendation provided by an embodiment of the present disclosure. DETAILED DESCRIPTION

[0019] In order to be able to understand the features and technical contents of the embodiments of the present disclosure in more detail, the implementation of the embodiments of the present disclosure is described in detail below in conjunction with the accompanying drawings. The attached drawings are for reference only and are not used to limit the embodiments of the present disclosure. In the following technical description, for the convenience of explanation, a full understanding of the disclosed embodiments is provided through multiple details. However, one or more embodiments can still be implemented without these details. In other cases, to simplify the drawings, well-known structures and devices can be simplified for display.

[0020] The terms "first", "second", etc. in the specification and claims of the embodiments of the present disclosure and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the terms used in this way can be interchanged where appropriate, so that the embodiments of the embodiments of the present disclosure described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions.

[0021] Unless otherwise stated, the term "plurality" means two or more.

[0022] In the embodiment of the present disclosure, the character " / " indicates that the preceding and following objects are in an "or" relationship. For example, A / B indicates: A or B.

[0023] The term "and / or" is a description of the association relationship between objects, indicating that three relationships can exist. For example, A and / or B means: A or B, or, A and B.

[0024] Combination Figure 1 As shown, the embodiment of the present disclosure provides a method for clothing recommendation, comprising:

[0025] S101, obtaining temperature information, and obtaining clothing scores and clothing warmth retention of existing clothing.

[0026] S102, obtaining clothing matching degree according to temperature information and clothing warmth retention.

[0027] S103, obtaining a recommendation index according to the clothing matching degree and the clothing score.

[0028] S104, obtaining clothing recommendation information according to the recommendation index.

[0029] When obtaining the temperature information, the destination information of the user is obtained, and then the temperature information corresponding to the destination information is obtained through the Internet. In some embodiments, the temperature information corresponding to the destination information is queried and obtained by calling the API interface of the meteorological website. Optionally, the temperature information corresponding to the destination information is obtained by receiving the temperature data transmitted by the temperature sensor at the destination. Then, the clothing matching degree of the temperature information and the clothing warmth is obtained according to the temperature information and the clothing warmth; then, the recommendation index is obtained according to the clothing matching degree and the clothing score, and the clothing recommendation information is obtained according to the recommendation index; finally, the clothing recommendation information is displayed to the user. Optionally, displaying the clothing recommendation information to the user includes: displaying the recommended clothing to the user through a display interface; or, sending the corresponding clothing to the terminal device so that the terminal device displays the recommended clothing to the user; or, indicating the corresponding recommended clothing to the user through the LED light at the corresponding clothing of the smart wardrobe.

[0030] When the temperature is the only factor to be considered for clothing recommendation, if the clothing does not change, the recommendation result will not change either, that is, when no new clothing is added, the clothing recommendation triggered when a certain temperature condition is met will not change, which easily leads to the user's recommended clothing being the same. The clothing score can reflect the satisfaction of different users with the same clothing, and to a certain extent reflects the quality, popularity, and beauty of the style of the clothing, and when users choose clothing, they can reduce the consideration of the impact of temperature to a certain extent in order to wear fashionable clothing or popular clothing. Therefore, the method for clothing recommendation provided by the embodiment of the present disclosure is adopted, and the clothing matching degree for the temperature is introduced when making clothing recommendations, which can solve the problems that existing users are prone to spend a long time and wear the wrong clothes when selecting clothes according to their own experience for the temperature. At the same time, the clothing score is combined to obtain the recommendation index to make clothing recommendations, which enriches the dimensions of clothing recommendations; as the clothing score changes, even if the temperature is the same, the clothing recommendation results in different periods will change, which improves the user's freshness when obtaining clothing recommendations.

[0031] Optionally, the obtaining of clothing scores of existing clothing includes: searching for clothing scores of existing clothing in an electronic mall; or, searching for evaluation tags of existing clothing in an electronic mall, and obtaining clothing scores according to the number of evaluation tags. Different electronic malls have different clothing scoring methods, some of which can directly give a comprehensive score to clothing, some of which can score the beauty of clothing, some of which can score the quality of clothing, and some of which can score the degree of liking of clothing. In the electronic mall, clothing corresponding to the existing clothing is retrieved and its scoring data is obtained as the clothing score. In some electronic malls, clothing is not directly scored, so in such electronic malls, after searching for the corresponding clothing, its evaluation tags are obtained, and the number of each type of evaluation tags is used as the clothing score. For example, clothing corresponding to an existing clothing is searched in the electronic mall, and there are 67 evaluation tags about its "beautiful appearance" and 22 evaluation tags about its "good quality". Optionally, 67 is used as the corresponding clothing score, or 22 is used as the corresponding clothing score, or 89 is used as the corresponding clothing score.

[0032] Optionally, the warmth retention of the clothing is obtained by reading a radio frequency identification RFID tag of the clothing; the RFID tag of the clothing contains information such as warmth retention, clothing name or model, and brand name. In some embodiments, the name or model and brand name of the clothing are obtained through the RFID tag of the clothing, and when obtaining the clothing score, the corresponding clothing is retrieved in the electronic mall through the name or model of the clothing, or the name or model and brand name of the clothing, and then the corresponding clothing score is obtained.

[0033] Optionally, obtaining the degree of clothing matching between the air temperature information and the clothing warmth retention degree according to the air temperature information and the clothing warmth retention degree includes:

[0034] The clothing matching degree is obtained according to the difference between the air temperature information and the clothing warmth retention degree.

[0035] Optionally, PPD=BND-QW is calculated to obtain the clothing matching degree PPD, where BND is clothing warmth, and QW is temperature information. The smaller the absolute value of PPD is, the more the temperature information matches the corresponding clothing warmth, and the more suitable the corresponding clothing is to be worn under the temperature information.

[0036] Optionally, obtaining a recommendation index according to the clothing matching degree and the clothing score includes:

[0037] Determine the difference range of the temperature information; optionally, the range of the temperature information is the same as the range of clothing warmth, and when the temperature information range is exceeded, the acquired temperature is set to the maximum or minimum value of the temperature information, and the difference range of the temperature information is obtained by the absolute value of the difference between the maximum and minimum values ​​of the temperature information, and the maximum and minimum values ​​of the temperature information are different. For example, the maximum temperature is set to 40°, the minimum temperature is set to -35° (i.e., minus 35°), the range of the temperature information is -35° to 40°, and correspondingly, the difference range of the temperature information and the clothing warmth is 75.

[0038] The contribution rate of the clothing matching degree is obtained according to the difference range of the air temperature information.

[0039] The contribution rate of the clothing matching degree is combined with the clothing score to obtain a recommendation index.

[0040] Optionally, calculate The contribution rate of clothing matching is obtained, where PPD is clothing matching, and FW is the difference range of temperature information. Since the maximum value and the minimum value of the temperature information are different, FW≠0.

[0041] Optionally, calculate The recommendation index TJ is obtained, YWPF is the clothing score, GXL is the contribution rate of the clothing matching degree, and is the set weight of clothing score, and β is the set weight of contribution rate of clothing matching degree. 0<β≤1. Optionally, If both β and β are 1, it means that the user cares a lot about both the temperature and the clothing rating. is 0.6, and β is 1, which means that users care more about the temperature than the clothing rating. is 0.9 and β is 0.5, which means that users care more about clothing ratings than temperature.

[0042] Obtaining the recommendation index in the above way avoids the stereotype caused by simply matching the corresponding clothes by temperature, because establishing a corresponding relationship between temperature and clothes is actually more based on user experience. At the same time, the clothing recommendation results of this method are always unchanged at the corresponding temperature, so the actual user experience is poor. At the same time, according to the above method, the contribution rate of clothing matching degree is integrated with the clothing score, which can reflect the personalized needs of users according to different weights, thereby realizing personalized recommendations for clothing.

[0043] Optionally, before fusing the contribution rate of the clothing matching degree with the clothing score, the method further includes: normalizing the clothing score to obtain a normalized clothing score.

[0044] Optionally, calculate Get the normalized clothing score YWPF′, YWPF max The maximum value of clothing score, YWPF min is the minimum value of the clothing score. The normalized clothing score and the contribution rate of clothing matching are combined to obtain the recommendation index, that is, The recommendation index TJ is obtained. Then, the clothing recommendation information is obtained according to the recommendation index. Due to the different scoring systems of different e-commerce malls, the range of clothing scores may vary greatly, with different dimensions and orders of magnitude. If the original score value is directly used to obtain the recommendation index, the role of clothing scores with higher values ​​in the comprehensive analysis will be highlighted, and the contribution of clothing scores with lower values ​​will be relatively weakened. Therefore, in order to ensure the reliability of the results, the original clothing score data is normalized to make the clothing scores between different dimensions comparable in value, thereby improving the accuracy of the recommendation index.

[0045] Optionally, obtaining clothing recommendation information according to the recommendation index includes:

[0046] For existing clothes whose recommendation index meets the set conditions, the clothing recommendation information is obtained after being sorted according to the recommendation index. Existing clothes that meet the set conditions are existing clothes whose recommendation index is greater than the set threshold. In the above manner, when the recommendation index is greater than the set threshold, these recommendation indexes greater than the set threshold are sorted from large to small, so as to obtain the corresponding existing clothing sequence. The clothes at the front of the sort are the existing clothes with the highest recommendation index. In this way, not only can clothes be recommended, but the recommended clothes can also be sorted, so that the recommended clothes with a high ranking have more reference value and are convenient for users to choose.

[0047] Optionally, after obtaining clothing recommendation information according to the recommendation index, the method further includes:

[0048] Obtaining the user's interest in the clothing in the clothing recommendation information;

[0049] Clothes are selected from the clothing recommendation information according to the interest level and fed back to the user.

[0050] Optionally, calculate The user's interest XQD in the clothing in the clothing recommendation information is obtained, where t is the difference between the current time and the time when the clothing was last selected, and n is the number of times the clothing was selected. Optionally, t is the difference between the current time and the time when the clothing was last purchased, and n is the number of times the clothing was purchased. The time when the clothing was selected is obtained by reading the RFID tag of the clothing when it is taken out of the wardrobe; or after the wardrobe door is turned from an open state to a closed state, it is obtained by identifying the actual RFID tag in the wardrobe. The more times the clothing is taken out or purchased, the more interested the user is in the clothing, and the greater the difference between the current time and the time when the clothing was last selected or the difference between the current time and the time when the clothing was last purchased, the greater the difference between the current time and the time when the clothing was last selected, which indicates that the interest may be transferred, and the user's interest in the clothing is older, that is, the interest in the clothing decreases with the passage of time; in contrast, the smaller the difference is, the newer the user's interest in the clothing is, and the clothing is still interested in the clothing in the near future. In the above manner, the clothing obtained in the clothing recommendation information can be further screened out, sorted, and displayed to facilitate the user to select clothing.

[0051] Combination Figure 2 As shown, an embodiment of the present disclosure provides a device for clothing recommendation, including a processor 100 and a memory 101. Optionally, the device may also include a communication interface 102 and a bus 103. The processor 100, the communication interface 102, and the memory 101 may communicate with each other through the bus 103. The communication interface 102 may be used for information transmission. The processor 100 may call the logic instructions in the memory 101 to execute the method for clothing recommendation of the above embodiment.

[0052] In addition, the logic instructions in the memory 101 described above may be implemented in the form of software functional units and when sold or used as independent products, may be stored in a computer-readable storage medium.

[0053] The memory 101 is a computer-readable storage medium that can be used to store software programs and computer executable programs, such as program instructions / modules corresponding to the method in the embodiment of the present disclosure. The processor 100 executes the function application and data processing by running the program instructions / modules stored in the memory 101, that is, the method for clothing recommendation in the above embodiment is implemented.

[0054] The memory 101 may include a program storage area and a data storage area, wherein the program storage area may store an operating system and an application required for at least one function; the data storage area may store data created according to the use of the terminal device, etc. In addition, the memory 101 may include a high-speed random access memory and may also include a non-volatile memory.

[0055] Clothing ratings can reflect the satisfaction of different users with the same clothing, and to a certain extent reflect the quality, popularity, and aesthetics of clothing. When choosing clothing, users can reduce their consideration of the impact of temperature to a certain extent in order to wear fashionable or popular clothing. Therefore, by adopting the method for clothing recommendation provided by the embodiment of the present disclosure, by introducing the clothing matching degree for temperature when making clothing recommendations, it is possible to solve the problems that existing users tend to spend a long time and wear the wrong clothes when selecting clothes based on temperature based on their own experience. At the same time, clothing ratings are combined to obtain recommendation indexes to make clothing recommendations, enriching the dimensions of clothing recommendations; as clothing ratings change, even if the temperature is the same, the clothing recommendation results at different times will change, which increases the user's sense of freshness when obtaining clothing recommendations.

[0056] An embodiment of the present disclosure provides a device, comprising the above-mentioned apparatus for clothing recommendation.

[0057] Optionally, the device includes a server or a terminal device.

[0058] In some embodiments, the terminal device is a smart phone, a smart wardrobe, a smart TV, a tablet computer, etc. The terminal device receives voice information, key information, or touch screen information input by the user to obtain the destination. When the terminal device is a smart phone, a smart TV, a tablet computer, etc., the user binds the smart wardrobe through the smart phone, smart TV, or tablet computer to obtain various types of clothing information read by the smart wardrobe, such as clothing warmth, clothing name or model, clothing selection time, etc. The user obtains temperature information and clothing ratings through the smart phone, smart TV, or tablet computer, and views the recommended clothing through the display interface of the smart phone, smart TV, or tablet computer. When the terminal device is a smart wardrobe, the user obtains temperature information and clothing ratings through the smart wardrobe, and views the recommended clothing through the display interface of the smart wardrobe.

[0059] In some embodiments, when the device is a server, the server receives the voice information, key information or touch screen information input by the user through the terminal device to obtain the destination. The server obtains various types of clothing information read by the smart wardrobe through terminal devices such as smart phones and tablets, such as clothing warmth, clothing name or model, clothing selection time, etc. The server can also directly bind to the smart wardrobe to obtain various types of clothing information read by the smart wardrobe. The server connects to the network to obtain temperature information and clothing scores, and triggers the display interface of the terminal device to display the recommendation results.

[0060] Clothing ratings can reflect the satisfaction of different users with the same clothing, and to a certain extent reflect the quality, popularity, and aesthetics of clothing. When choosing clothing, users can reduce their consideration of the impact of temperature to a certain extent in order to wear fashionable or popular clothing. Therefore, by adopting the method for clothing recommendation provided by the embodiment of the present disclosure, by introducing the clothing matching degree for temperature when making clothing recommendations, it is possible to solve the problems that existing users tend to spend a long time and wear the wrong clothes when selecting clothes based on temperature based on their own experience. At the same time, clothing ratings are combined to obtain recommendation indexes to make clothing recommendations, enriching the dimensions of clothing recommendations; as clothing ratings change, even if the temperature is the same, the clothing recommendation results at different times will change, which increases the user's sense of freshness when obtaining clothing recommendations.

[0061] An embodiment of the present disclosure provides a computer-readable storage medium storing computer-executable instructions, wherein the computer-executable instructions are configured to execute the above-mentioned method for clothing recommendation.

[0062] An embodiment of the present disclosure provides a computer program product, which includes a computer program stored on a computer-readable storage medium, and the computer program includes program instructions. When the program instructions are executed by a computer, the computer executes the above-mentioned method for clothing recommendation.

[0063] The computer-readable storage medium mentioned above may be a transient computer-readable storage medium or a non-transitory computer-readable storage medium.

[0064] The technical solution of the embodiment of the present disclosure can be embodied in the form of a software product, which is stored in a storage medium and includes one or more instructions for enabling a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in the embodiment of the present disclosure. The aforementioned storage medium may be a non-transient storage medium, including: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes, or a transient storage medium.

[0065] The above description and the accompanying drawings fully illustrate the embodiments of the present disclosure so that those skilled in the art can practice them. Other embodiments may include structural, logical, electrical, process and other changes. The embodiments represent only possible changes. Unless explicitly required, separate components and functions are optional, and the order of operation may vary. The parts and features of some embodiments may be included in or replace the parts and features of other embodiments. Moreover, the words used in this application are only used to describe the embodiments and are not used to limit the claims. As used in the description of the embodiments and the claims, unless the context clearly indicates, the singular forms of "a", "an" and "the" are intended to include plural forms as well. Similarly, the term "and / or" as used in this application refers to any and all possible combinations of listings containing one or more associated ones. In addition, when used in the present application, the term "comprise" and its variants "comprises" and / or comprising refer to the presence of stated features, wholes, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or groups thereof. In the absence of further restrictions, the elements defined by the sentence "comprising a ..." do not exclude the presence of other identical elements in the process, method or device comprising the elements. In this article, each embodiment may focus on the differences from other embodiments, and the same and similar parts between the various embodiments may refer to each other. For the methods, products, etc. disclosed in the embodiments, if they correspond to the method part disclosed in the embodiments, then the relevant parts can refer to the description of the method part.

[0066] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software may depend on the specific application and design constraints of the technical solution. The technicians may use different methods for each specific application to implement the described functions, but such implementations should not be considered to exceed the scope of the embodiments of the present disclosure. The technicians may clearly understand that, for the convenience and simplicity of description, the specific working processes of the systems, devices and units described above may refer to the corresponding processes in the aforementioned method embodiments, and will not be repeated here.

[0067] In the embodiments disclosed herein, the disclosed methods and products (including but not limited to devices, equipment, etc.) can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units can be only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between each other shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms. The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the units may be selected according to actual needs to implement this embodiment. In addition, each functional unit in the embodiment of the present disclosure may be integrated in a processing unit, or each unit may exist physically alone, or two or more units may be integrated in one unit.

[0068] The flowchart and block diagram in the accompanying drawings show the possible architecture, function and operation of the system, method and computer program product according to the embodiment of the present disclosure. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of the code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. In some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, which can depend on the functions involved. In the description corresponding to the flowchart and the block diagram in the accompanying drawings, the operations or steps corresponding to different boxes can also occur in a different order from the order disclosed in the description, and sometimes there is no specific order between different operations or steps. For example, two consecutive operations or steps can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, which can depend on the functions involved. Each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, may be implemented by a dedicated hardware-based system that performs the specified functions or actions, or may be implemented by a combination of dedicated hardware and computer instructions.

Claims

1. A method for clothing recommendation, characterized in that: include: Get temperature information, and get clothing ratings and clothing warmth of existing clothing; Obtaining clothing matching degree according to the temperature information and clothing warmth retention; Obtaining a recommendation index according to the clothing matching degree and the clothing score; Obtain clothing recommendation information according to the recommendation index; The obtaining of clothing scores of existing clothing includes: searching for clothing scores of existing clothing in the electronic mall; or searching for evaluation tags of existing clothing in the electronic mall, and obtaining clothing scores according to the number of evaluation tags; After obtaining the clothing recommendation information according to the recommendation index, the method further includes: obtaining the user's interest in the clothing in the clothing recommendation information; selecting clothing from the clothing recommendation information according to the interest and feeding back the clothing to the user; Obtaining the user's interest in the clothing in the clothing recommendation information includes: calculating The user's interest XQD in the clothing recommendation information is obtained, where t is the difference between the current time and the last time the clothing in the clothing recommendation information was selected, and n is the number of times the clothing in the clothing recommendation information is selected; or, t is the difference between the current time and the last time the clothing in the clothing recommendation information was purchased, and n is the number of times the clothing in the clothing recommendation information is purchased.

2. The method according to claim 1, characterized in that Obtaining clothing matching degree according to the temperature information and clothing warmth retention degree, including: The clothing matching degree is obtained according to the difference between the air temperature information and the clothing warmth retention degree.

3. The method according to claim 1, characterized in that Obtaining a recommendation index according to the clothing matching degree and the clothing score includes: Determining a difference range of the temperature information; Obtaining a contribution rate of the clothing matching degree according to a difference range of the temperature information; The contribution rate of the clothing matching degree is combined with the clothing score to obtain a recommendation index.

4. The method according to claim 3, characterized in that Before fusing the contribution rate of the clothing matching degree with the clothing score, the method further includes: The clothing scores are normalized to obtain normalized clothing scores.

5. The method according to claim 1, characterized in that Obtaining clothing recommendation information according to the recommendation index includes: For existing clothes whose recommendation indexes meet the set conditions, the clothes recommendation information is obtained by sorting them according to the recommendation indexes.

6. A device for clothing recommendation, comprising a processor and a memory storing program instructions, characterized in that: The processor is configured to perform the method for clothing recommendation according to any one of claims 1 to 5 when executing the program instructions.

7. A device, characterized in that: Comprising the device for clothing recommendation as claimed in claim 6.

8. The device according to claim 7, characterized in that The device includes a server or a terminal device.

Images