CN111353100A - Clothing information recommendation method and device, mobile terminal and storage medium - Google Patents

Clothing information recommendation method and device, mobile terminal and storage medium Download PDF

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Publication number
CN111353100A
CN111353100A CN202010124509.2A CN202010124509A CN111353100A CN 111353100 A CN111353100 A CN 111353100A CN 202010124509 A CN202010124509 A CN 202010124509A CN 111353100 A CN111353100 A CN 111353100A
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China
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information
clothing
temperature range
user
clothing information
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CN202010124509.2A
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Chinese (zh)
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龚爱民
韦耀庭
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Huizhou TCL Mobile Communication Co Ltd
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Huizhou TCL Mobile Communication Co Ltd
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Priority to CN202010124509.2A priority Critical patent/CN111353100A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • G06F16/9535Search customisation based on user profiles and personalisation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • G06F16/9537Spatial or temporal dependent retrieval, e.g. spatiotemporal queries

Abstract

The application discloses a clothing information recommendation method, a clothing information recommendation device, a mobile terminal and a storage medium, which are applied to the mobile terminal, the clothing information recommendation method comprises the steps of obtaining body state information and weather information of a user, determining a target temperature range according to the body state information and the weather information, then determining target clothing information from a preset clothing information library according to the target temperature range, then generating clothing information according to the target clothing information, and recommending the clothing information to the user, so that intelligent and humanized clothing information recommendation is realized, clothing information adaptive to the body state of the user at the current day and the weather state of the user can be recommended to the user, diseases or discomfort caused by improper clothing of the user is avoided, convenience is provided for the user, clothing information omission of the user is avoided, and user experience is improved.

Description

Clothing information recommendation method and device, mobile terminal and storage medium
Technical Field
The application relates to the technical field of terminals, in particular to a clothing information recommendation method and device, a mobile terminal and a storage medium.
Background
With the development of the internet, more and more shopping festivals are derived on the internet, such as shopping festivals of ' eleven ', ' twelve ' and ' 618 ', the purchasing desire of people is more motivated, and then, various ' hand chopping ' actions are performed on people, particularly, women and women buy various clothes, and the most things are the clothes, the clothes are accumulated in the day and the month, the clothes are more and more, so that ' the wearing of the clothes? "becomes a happy annoyance.
People almost all face the problem of matching when wearing clothes, and when matching, people need to recall which clothes they have, and through the upper part of the body test of a time, if dislike, match again, very waste time to some dresses are omitted easily, in addition, people probably ignore the weather condition, and the dress that leads to the dress is not suitable for weather and arouses disease or some uncomfortable sense.
Disclosure of Invention
The embodiment of the application provides a clothing information recommendation method, a clothing information recommendation device, a mobile terminal and a storage medium, and aims to solve the technical problems that clothes are easy to be omitted and clothes are easy to be inappropriate in the daily clothes-wearing matching process of people.
The technical scheme provided by the application is as follows:
the application provides a clothing information recommendation method, which is applied to a mobile terminal and comprises the following steps:
acquiring body state information and weather information of a user;
determining a target temperature range according to the body state information and the weather information;
determining target clothing information from a preset clothing information base according to the target temperature range;
and generating dressing information according to the target clothing information, and recommending the dressing information to the user.
The application also provides a clothing information recommendation device, is applied to mobile terminal, includes:
an acquisition module; the system comprises a body state information acquisition module, a weather information acquisition module and a weather information acquisition module, wherein the body state information and the weather information acquisition module are used for acquiring body state information and weather information of a user;
the first determination module is used for determining a target temperature range according to the body state information and the weather information;
the second determining module is used for determining target clothing information from a preset clothing information base according to the target temperature range;
and the recommending module is used for generating the dressing information according to the target clothing information and recommending the dressing information to the user.
In the clothing information recommendation device provided by the present application, the first determining module is specifically configured to:
if the body state information indicates that the body state of the user is a healthy state, taking the temperature range of the current day as a target temperature range;
and if the body state information indicates that the body state of the user is a sub-health state, determining a target temperature range according to the temperature range of the current day.
In the clothing information recommendation device provided by the application, a plurality of pieces of clothing information and a wearable temperature range of each piece of clothing information are recorded in the clothing information base, and the second determination module is specifically configured to:
determining clothing information to be recommended from the clothing information base according to the target temperature range and the wearable temperature range;
acquiring user preference information corresponding to the recommended clothing information;
and determining target clothing information according to the clothing information to be recommended and the user preference information.
In the clothing information recommendation device provided by the present application, the second determining module is specifically configured to:
determining a plurality of matched pieces corresponding to the target temperature range;
acquiring a preset adjustment proportion corresponding to each matched piece number;
determining a dressing temperature range according to the target temperature range and a preset adjustment proportion;
and determining the information of the clothes to be recommended from a clothes information base according to the temperature range of the dressed clothes, the temperature range of the suitable dress and the number of corresponding matched pieces.
In the clothing information recommendation device provided by the present application, the second determining module is specifically configured to:
determining recommendation degrees corresponding to the clothing information to be recommended according to the clothing scores and the wearing times of the users;
sequencing each piece of clothing information to be recommended according to the recommendation degree from high to low;
and acquiring the clothing information to be recommended at the front preset position in the sequencing sequence as target recommended clothing information.
In the clothing information recommendation device provided by the present application, the clothing information recommendation device further includes a first creation module configured to:
acquiring a clothing purchase record of a user, wherein the clothing purchase record comprises a clothing purchase link;
entering a clothing detail page corresponding to the clothing purchasing link;
acquiring clothing information, season information and fabric information in the clothing detail page;
determining a temperature range suitable for wearing according to the season information and the fabric information;
and creating a preset clothing information base according to the clothing information and the wearable temperature range.
In the clothing information recommendation device provided by the present application, the clothing information recommendation device further includes a second creation module, configured to:
acquiring user input information, wherein the user input information comprises a garment two-dimensional code;
entering a clothing detail interface corresponding to the clothing two-dimension code, wherein the clothing detail interface comprises clothing information, season information and fabric information;
determining a temperature range suitable for wearing according to the season information and the fabric information;
and creating a preset clothing information base according to the clothing information and the wearable temperature range.
The application also provides a computer-readable storage medium, wherein a plurality of instructions are stored in the storage medium, and the instructions are suitable for being loaded by a processor to execute the steps in the clothing information recommendation method.
The application also provides a mobile terminal, which comprises a processor and a memory, wherein the processor is electrically connected with the memory, the memory is used for storing instructions and data, and the processor is used for any step in the clothing information recommendation method.
The beneficial effect of this application does: the application discloses a clothing information recommendation method, a clothing information recommendation device, a mobile terminal and a storage medium, which are applied to the mobile terminal, the clothing information recommendation method comprises the steps of obtaining body state information and weather information of a user, determining a target temperature range according to the body state information and the weather information, then determining target clothing information from a preset clothing information library according to the target temperature range, then generating clothing information according to the target clothing information, and recommending the clothing information to the user, so that intelligent and humanized clothing information recommendation is realized, clothing information adaptive to the body state of the user at the current day and the weather state of the user can be recommended to the user, diseases or discomfort caused by improper clothing of the user is avoided, convenience is provided for the user, clothing information omission of the user is avoided, and user experience is improved.
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The technical solution and other advantages of the present application will become apparent from the detailed description of the embodiments of the present application with reference to the accompanying drawings.
Fig. 1 is a schematic view of an application scenario of a clothing information recommendation method provided in an embodiment of the present application.
Fig. 2 is a schematic flow chart of a clothing information recommendation method provided in an embodiment of the present application.
Fig. 3 is another schematic flow chart of a clothing information recommendation method according to an embodiment of the present application.
Fig. 4 is a schematic structural diagram of a clothing information recommendation device according to an embodiment of the present application.
Fig. 5 is another schematic structural diagram of a clothing information recommendation device according to an embodiment of the present application.
Fig. 6 is a schematic structural diagram of a mobile terminal according to an embodiment of the present application.
Fig. 7 is another schematic structural diagram of a mobile terminal according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The embodiment of the application provides a clothing information recommendation method and device, a mobile terminal and a storage medium.
Referring to fig. 1, fig. 1 provides a schematic view of an application scenario of a clothing information recommendation system, where the clothing information recommendation system may include any one of the clothing information recommendation devices provided in the embodiments of the present application, the clothing information recommendation device may be integrated in a mobile terminal, and the mobile terminal may include a device with a mobile communication function, such as a smart phone and a tablet computer.
The method comprises the steps of obtaining body state information and weather information of a user, determining a target temperature range according to the body state information and the weather information, determining target clothing information from a preset clothing information base according to the target temperature range, generating clothing information according to the target clothing information, and recommending the clothing information to the user.
For example, as shown in fig. 1, a user may set a clothing recommendation reminding time in advance, for example, the reminding time set by the user is seven and a half morning, when the reminding time set by the user is seven and a half morning, the user starts clothing recommendation, the user obtains body state information and weather information of the user, if the body state information is healthy and the weather information is 15 to 20 ℃, the target temperature range is determined to be 15 to 20 ℃, if the body state is sub-healthy and the weather information is 15 to 20 ℃, the target temperature range is determined to be 10 to 15 ℃, then the target clothing information is determined from a preset clothing information library according to the target temperature range, then the clothing information is generated according to the target clothing information, and the clothing information is recommended to the user in the form of a picture.
Referring to fig. 2, fig. 2 is a schematic flow chart of a clothing information recommendation method according to an embodiment of the present application, and as shown in fig. 2, the clothing information recommendation method is applied to a mobile terminal, and the mobile terminal may be any intelligent electronic device with a mobile communication function, such as a smart phone, a tablet computer, and a smart watch. The specific flow of the clothing information recommendation method provided by this embodiment may be as follows:
s101, acquiring body state information and weather information of a user.
Specifically, when the clothing information recommendation function is turned on, the body state information and the weather information of the user are acquired and used for determining the target temperature range in the subsequent steps.
In some embodiments, the physical state information of the user may be obtained by:
(1) obtaining by a wearable electronic device
In particular, the wearable electronic device may be a bracelet. The bracelet passes through the bluetooth and is connected with mobile terminal, and the bracelet can detect people's oxyhemoglobin saturation, sleep, rhythm of the heart, amount of exercise and body temperature etc to a health index is evaluateed comprehensively, judges whether current is in health status.
(2) By asking the user to obtain
Specifically, a prompt dialog box is displayed on the display interface, the prompt dialog box is provided with a plurality of health status options, and then the selection result of the user on the plurality of health status options is obtained as the body status information of the user.
In this embodiment, the user may not purchase the wearable electronic device, and therefore the user is queried in a manner that is closer to the user's needs, for example, although the user has a poor physical state, the user may select the wearable electronic device according to his needs because the user still needs to wear clothes that are not warm but are beautiful when he is in a certain place.
And S102, determining a target temperature range according to the body state information and the weather information.
Specifically, the weather information includes weather conditions such as sunny, rain, fog, snow, insolation, dryness, and the temperature range of the day.
In some embodiments, if the weather information indicates a weather condition where insolation will occur, then clothing information such as sun screens, sun shades, sun caps, and the like may be recommended; if the weather information indicates that a dry weather condition is to appear, prompting a user to pay attention to water replenishing; if the weather information indicates that the weather is rainy today, clothing information such as raincoats, waterproof shoe covers, umbrellas and the like is recommended.
In some embodiments, step S102 may specifically include:
if the body state information indicates that the body state of the user is a healthy state, taking the temperature range of the current day as a target temperature range;
and if the body state information indicates that the body state of the user is a sub-health state, determining a target temperature range according to the temperature range of the day.
Specifically, if the physical state of the user is healthy, it is not necessary to consider recommending clothes that are more warm to the user, and therefore, the temperature range of the day may be directly set as the target temperature range.
Specifically, if the body state of the user is a sub-healthy state, it is proved that the user is weak and may catch cold or get ill, and a garment that is more warm is often needed, and therefore, the minimum temperature and the maximum temperature in the temperature range of the day are both reduced by a certain value, wherein the reduced values of the minimum temperature and the maximum temperature may be different or the same, and are preferably in the range of 3 to 5, and then the new value is combined into a new range as the target temperature range. For example, the temperature range of the day is 15-20 ℃, where the minimum temperature is 15 ℃ and the maximum temperature is 20 ℃, if the user's physical health status is sub-healthy, the minimum temperature is reduced by 5 ℃, the maximum temperature is reduced by 3 ℃, the new minimum temperature is 10 ℃, and the new maximum temperature is 17 ℃, then the target temperature range is 10-17 ℃.
S103, determining target clothing information from a preset clothing information base according to the target temperature range.
Specifically, a plurality of pieces of clothing information and the wearable temperature range of each piece of clothing information are recorded in the clothing information base.
In some embodiments, before step S103, the method may further include:
acquiring a clothing purchase record of a user, wherein the clothing purchase record comprises a clothing purchase link;
entering a clothing detail page corresponding to the clothing purchase link;
acquiring clothing information, season information and fabric information in a clothing detail page;
determining a proper temperature range according to the season information and the fabric information;
and creating a preset clothing information base according to the clothing information and the wearable temperature range.
The clothing purchase record can include any purchase website or purchase record in application such as Taobao, Jingdong and the like. In addition, the clothing information may be picture information.
In some embodiments, before step S103, the method may further include:
acquiring user input information, wherein the user input information comprises a garment two-dimensional code;
entering a clothing detail interface corresponding to the clothing two-dimension code, wherein the clothing detail interface comprises clothing information, season information and fabric information;
determining a proper temperature range according to the season information and the fabric information;
and creating a preset clothing information base according to the clothing information and the wearable temperature range.
If the input information of the user is the garment two-dimensional code, the user enters a detail interface corresponding to the garment two-dimensional code through a scanning function, and then specific information in the detail interface is acquired, wherein the garment information can be picture information.
In addition, the user can directly input the clothing information and the corresponding wearable temperature range in the clothing information base to manually expand the clothing information base. Besides, some contents already stored in the clothing information base can be supplemented.
In some embodiments, step S103 may specifically include the following sub-steps:
and 1-1, determining the information of the clothes to be recommended from a clothes information base according to the target temperature range and the wearable temperature range.
In this embodiment, step 1-1 may specifically include the following sub-steps:
1-1-1, determining a plurality of matched pieces corresponding to the target temperature range.
Specifically, the target temperature range may correspond to a plurality of matching strategies, for example, when the temperature is low, we can wear a thick garment or wear several thinner garments, and thus, different matching strategies may be embodied by matching the number of pieces, for example, one piece, two pieces, or three pieces.
1-1-2, obtaining the preset adjusting proportion corresponding to each matched number.
Specifically, when the target temperature range is determined, that is, the recommended clothing is determined to make the user most comfortable in the temperature range, if the clothing is recommended only according to the wearable temperature range, the user feels dry heat when the number of the matched pieces is plural, and therefore, an adjustment ratio should be set to determine the final clothing temperature range, for example, the adjustment ratio is 1 when the number of the matched pieces is one, and the adjustment ratio may be 0.8 when the number of the matched pieces is two.
1-1-3, determining the dressing temperature range according to the target temperature range and the preset adjustment proportion.
Specifically, the target temperature range is multiplied by a preset adjustment ratio to obtain the dressing temperature range. For example, if the target temperature range is 10 to 20 ℃ and the adjustment ratio is 0.8, 8 to 16 ℃ is determined as the dressing temperature range.
And 1-1-4, determining the information of the clothes to be recommended from a clothes information base according to the temperature range of the clothes, the temperature range of the wearable clothes and the corresponding matched number.
Specifically, the clothing information with the wearing temperature range within the clothing temperature range in the clothing information base is used as the clothing information to be combined, the clothing information is combined according to the number of matched pieces, and at least one group of clothing information is used as the clothing information to be recommended.
For example, if the number of matched pieces is one, the clothing information with the wearable temperature range within the wearable temperature range is directly used as the clothing information to be recommended, if the number of matched pieces is two, the clothing information with the wearable temperature range within the wearable temperature range is used as the clothing information to be combined, then the clothing information to be combined is combined in pairs, and at least one set of combined clothing information is used as the clothing information to be recommended.
And 1-2, acquiring user preference information corresponding to the clothing information to be recommended.
Specifically, the user preference information may include a clothing score and a user wearing number, which are used to calculate a recommendation degree in a subsequent step as a criterion for recommending clothing.
In some embodiments, the user preference information may be recorded in a clothing information base, for example, clothing scores may be input by the user in the clothing information base in advance; the wearing times can be automatically updated after each recommendation is finished if the user selects certain piece of clothing information.
And 1-3, determining target clothing information according to the clothing information to be recommended and the user preference information.
In particular, step 1-3 may comprise the following sub-steps:
determining recommendation degrees corresponding to the clothing information to be recommended according to the clothing scores and the wearing times of the user;
sequencing each piece of clothing information to be recommended according to the recommendation degree from high to low;
and acquiring the information of the clothes to be recommended at the front preset position in the sequencing sequence as target recommended clothes information.
Specifically, the recommendation degree may be determined according to the clothing score and the number of times of wearing by the user in a preset ratio, for example, if the clothing score is 9.5 points, the number of times of wearing is 10 times, and the preset ratio is 0.5, 9.5 × 0.5+10 × 0.5 — 9.75 is used as the recommendation degree. The recommendation degree represents the preference degree of the user, so that when recommending, the clothing information with high recommendation degree should be selected for priority recommendation, and then the clothing information to be recommended needs to be sorted according to the recommendation degree, and then the front preset position in the sorting sequence is used as the target clothing information.
In some embodiments, if the number of the matched pieces is more than one, the clothing scores and the wearing times should be averaged, and then the recommendation degree should be determined according to a preset proportion.
And S104, generating dressing information according to the target clothing information, and recommending the dressing information to the user.
Specifically, a corresponding dressing picture can be generated according to target clothing information and then displayed on a display interface, if the user is satisfied with the recommended dressing information and can directly click to determine, then the dressing record information of the current day is automatically generated, namely, the dressing times are updated, in addition, after the dressing is finished, the user can take a dressing effect picture and store the dressing effect picture in a clothing information base so as to record the dressing change of the user, and in addition, some network dressing effect pictures can be stored for reference, so that the dressing level and the clothing taste of the user can be gradually improved; if the user is not satisfied with the recommended dressing information, the user can modify certain clothing information, then click to determine, and then generate the dressing record information of the day, namely update the dressing times.
Therefore, the clothing information recommendation method provided by the embodiment is applied to the mobile terminal, the body state information and the weather information of the user are obtained, the target temperature range is determined according to the body state information and the weather information, then, the target clothing information is determined from the preset clothing information library according to the target temperature range, then, the clothing information is generated according to the target clothing information, and the clothing information is recommended to the user, so that intelligent and humanized clothing information recommendation is achieved, clothing information adaptive to the body state of the user at the current day and the weather state at the current day can be recommended to the user, diseases or discomfort caused by improper clothing of the user is avoided, convenience is provided for the user, clothing information omission is avoided, and user experience is improved.
Referring to fig. 3, fig. 3 is another schematic flow chart of a clothing information recommendation method according to an embodiment of the present application, where the clothing information recommendation method is applied to a mobile terminal, and the mobile terminal may be any intelligent electronic device with a mobile communication function, such as a smart phone, a tablet computer, and a smart watch. The specific flow of the clothing information recommendation method provided by this embodiment may be as follows:
s201, acquiring body state information and weather information of a user.
In some embodiments, the physical state information of the user may be obtained by:
(1) obtaining by a wearable electronic device
In particular, the wearable electronic device may be a bracelet. The bracelet passes through the bluetooth and is connected with mobile terminal, and the bracelet can detect people's oxyhemoglobin saturation, sleep, rhythm of the heart, amount of exercise and body temperature etc to a health index is evaluateed comprehensively, judges whether current is in health status.
(2) By asking the user to obtain
Specifically, a prompt dialog box is displayed on the display interface, the prompt dialog box is provided with a plurality of health status options, and then the selection result of the user on the plurality of health status options is obtained as the body status information of the user.
In this way, the user may not purchase the wearable electronic device, and therefore the user is queried, which may be closer to the user's needs, for example, the user may choose according to his needs because he/she needs to wear clothes that are not warm but are beautiful in some occasions, although his/her physical status is not good.
Specifically, the weather information includes weather conditions such as sunny, rain, fog, snow, insolation, dryness, and the temperature range of the day.
In some embodiments, if the weather information indicates a weather condition where insolation will occur, then clothing information such as sun screens, sun shades, sun caps, and the like may be recommended; if the weather information indicates that a dry weather condition is to appear, prompting a user to pay attention to water replenishing; if the weather information indicates that the weather is rainy today, clothing information such as raincoats, waterproof shoe covers, umbrellas and the like is recommended.
S202, if the body state information indicates that the body state of the user is a healthy state, taking the temperature range of the day as a target temperature range.
Specifically, if the physical state of the user is healthy, it is not necessary to consider recommending clothes that are more warm to the user, and therefore, the temperature range of the day may be directly set as the target temperature range.
S203, if the body state information indicates that the body state of the user is a sub-health state, determining a target temperature range according to the temperature range of the day.
Specifically, if the body state of the user is a sub-healthy state, it is proved that the user is weak and may catch cold or get ill, and a garment that is more warm is often needed, and therefore, the minimum temperature and the maximum temperature in the temperature range of the day are both reduced by a certain value, wherein the reduced values of the minimum temperature and the maximum temperature may be different or the same, and are preferably in the range of 3 to 5, and then the new value is combined into a new range as the target temperature range. For example, the temperature range of the day is 15-20 ℃, where the minimum temperature is 15 ℃ and the maximum temperature is 20 ℃, if the user's physical health status is sub-healthy, the minimum temperature is reduced by 5 ℃, the maximum temperature is reduced by 3 ℃, the new minimum temperature is 10 ℃, and the new maximum temperature is 17 ℃, then the target temperature range is 10-17 ℃.
And S204, determining a plurality of matched pieces corresponding to the target temperature range.
Specifically, the target temperature range may correspond to a plurality of matching strategies, for example, when the temperature is low, we can wear a thick garment or wear several thinner garments, and thus, different matching strategies may be embodied by matching the number of pieces, for example, one piece, two pieces, or three pieces.
S205, obtaining a preset adjusting proportion corresponding to each collocation piece number.
Specifically, when the target temperature range is determined, that is, the recommended clothing is determined to make the user most comfortable in the temperature range, if the clothing is recommended only according to the wearable temperature range, the user feels dry heat when the number of the matched pieces is plural, and therefore, an adjustment ratio should be set to determine the final clothing temperature range, for example, the adjustment ratio is 1 when the number of the matched pieces is one, and the adjustment ratio may be 0.8 when the number of the matched pieces is two.
S206, determining the dressing temperature range according to the target temperature range and the preset adjusting proportion.
Specifically, the target temperature range is multiplied by a preset adjustment ratio to obtain the dressing temperature range. For example, if the target temperature range is 10 to 20 ℃ and the adjustment ratio is 0.8, 8 to 16 ℃ is determined as the dressing temperature range.
And S207, determining information of the clothes to be recommended from a preset clothes information base according to the dressing temperature range, the wearable temperature range and the corresponding matched number.
Specifically, the clothing information with the wearing temperature range within the clothing temperature range in the clothing information base is used as the clothing information to be combined, the clothing information is combined according to the number of matched pieces, and at least one group of clothing information is used as the clothing information to be recommended.
For example, if the number of matched pieces is one, the clothing information with the wearable temperature range within the wearable temperature range is directly used as the clothing information to be recommended, if the number of matched pieces is two, the clothing information with the wearable temperature range within the wearable temperature range is used as the clothing information to be combined, then the clothing information to be combined is combined in pairs, and at least one set of combined clothing information is used as the clothing information to be recommended.
In some embodiments, before step S207, the method may further include:
acquiring a clothing purchase record of a user, wherein the clothing purchase record comprises a clothing purchase link;
entering a clothing detail page corresponding to the clothing purchase link;
acquiring clothing information, season information and fabric information in a clothing detail page;
determining a proper temperature range according to the season information and the fabric information;
and creating a preset clothing information base according to the clothing information and the wearable temperature range.
The clothing purchase record can include any purchase website or purchase record in application such as Taobao, Jingdong and the like. In addition, the clothing information may be picture information.
In some embodiments, before step S207, the method may further include:
acquiring user input information, wherein the user input information comprises a garment two-dimensional code;
entering a clothing detail interface corresponding to the clothing two-dimension code, wherein the clothing detail interface comprises clothing information, season information and fabric information;
determining a proper temperature range according to the season information and the fabric information;
and creating a preset clothing information base according to the clothing information and the wearable temperature range.
If the input information of the user is the garment two-dimensional code, the user enters a detail interface corresponding to the garment two-dimensional code through a scanning function, and then specific information in the detail interface is acquired, wherein the garment information can be picture information.
In addition, the user can directly input the clothing information and the corresponding wearable temperature range in the clothing information base to manually expand the clothing information base. Besides, some contents already stored in the clothing information base can be supplemented.
And S208, acquiring user preference information corresponding to the clothing information to be recommended.
Specifically, the user preference information may include a clothing score and a user wearing number, which are used to calculate a recommendation degree in a subsequent step as a criterion for recommending clothing.
In some embodiments, the user preference information may be recorded in a clothing information base, for example, clothing scores may be input by the user in the clothing information base in advance; the wearing times can be automatically updated after each recommendation is finished if the user selects certain piece of clothing information.
S209, determining target clothing information according to the clothing information to be recommended and the user preference information.
Specifically, step S209 may include the following sub-steps:
determining recommendation degrees corresponding to the clothing information to be recommended according to the clothing scores and the wearing times of the user;
sequencing each piece of clothing information to be recommended according to the recommendation degree from high to low;
and acquiring the information of the clothes to be recommended at the front preset position in the sequencing sequence as target recommended clothes information.
Specifically, the recommendation degree may be determined according to the clothing score and the number of times of wearing by the user according to a preset ratio, for example, if the clothing score is 9.5 points, the number of times of wearing is 10 times, and the preset ratio is 0.5, 9.5 × 0.5+10 × 0.5 — 9.75 is used as the recommendation degree. The recommendation degree represents the preference degree of the user, so that when recommending, the clothing information with high recommendation degree should be selected for priority recommendation, and then the clothing information to be recommended needs to be sorted according to the recommendation degree, and then the front preset position in the sorting sequence is used as the target clothing information.
In some embodiments, if the number of the matched pieces is more than one, the clothing scores and the wearing times should be averaged, and then the recommendation degree should be determined according to a preset proportion.
And S210, generating dressing information according to the target clothing information, and recommending the dressing information to the user.
Specifically, a corresponding dressing picture can be generated according to target clothing information and then displayed on a display interface, if the user is satisfied with the recommended dressing information and can directly click to determine, then the dressing record information of the current day is automatically generated, namely, the dressing times are updated, in addition, after the dressing is finished, the user can take a dressing effect picture and store the dressing effect picture in a clothing information base so as to record the dressing change of the user, and in addition, some network dressing effect pictures can be stored for reference, so that the dressing level and the clothing taste of the user can be gradually improved; if the user is not satisfied with the recommended dressing information, the user can modify certain clothing information, then click to determine, and then generate the dressing record information of the day, namely update the dressing times.
As can be seen from the above, the clothing information recommendation method provided in this embodiment is applied to a mobile terminal, and includes obtaining body state information and weather information of a user, if the body state information indicates that the body state of the user is a healthy state, using a temperature range of the current day as a target temperature range, if the body state information indicates that the body state of the user is a sub-healthy state, determining the target temperature range according to the temperature range of the current day, then determining a plurality of matching pieces corresponding to the target temperature range, then obtaining a preset adjustment ratio corresponding to each matching piece, then determining a clothing temperature range according to the target temperature range and the preset adjustment ratio, determining clothing information to be recommended from a clothing information base according to the clothing temperature range, the suitable clothing temperature range and the corresponding matching pieces, obtaining user preference information corresponding to the clothing information to be recommended, and then, the method comprises the steps of determining target clothing information according to clothing information to be recommended and user preference information, then generating clothing information according to the target clothing information, and recommending the clothing information to a user, so that intelligent and humanized clothing information recommendation is achieved, clothing information which is suitable for the body state of the user at the current day and the weather state at the current day can be recommended to the user, diseases or discomfort caused by improper clothing of the user is avoided, convenience is provided for the user, clothing information omission is avoided, and user experience is improved.
According to the method described in the above embodiment, the present embodiment will be further described from the perspective of a clothing information recommendation device, which may be specifically implemented as an independent entity or integrated in a mobile terminal, where the mobile terminal may include a mobile phone, a tablet computer, and the like.
Referring to fig. 4, fig. 4 specifically describes that the clothing information recommendation device provided in the embodiment of the present application is applied to a mobile terminal, and the mobile terminal may be any intelligent electronic device with a mobile communication function, such as a smart phone, a tablet computer, a notebook computer, and the like. The clothing information recommendation device may include: an obtaining module 10, a first determining module 20, a second determining module 30 and a recommending module 40, wherein:
(1) acquisition module 10
The first obtaining module 10 is configured to determine a target temperature range according to the body state information and the weather information.
Specifically, when the clothing information recommendation function is turned on, the body state information and the weather information of the user are acquired and used for determining the target temperature range in the subsequent steps.
In some embodiments, the physical state information of the user may be obtained by:
① obtaining through wearable electronics
In particular, the wearable electronic device may be a bracelet. The bracelet passes through the bluetooth and is connected with mobile terminal, and the bracelet can detect people's oxyhemoglobin saturation, sleep, rhythm of the heart, amount of exercise and body temperature etc to a health index is evaluateed comprehensively, judges whether current is in health status.
② obtaining by asking the user
Specifically, a prompt dialog box is displayed on the display interface, the prompt dialog box is provided with a plurality of health status options, and then the selection result of the user on the plurality of health status options is obtained as the body status information of the user.
In this embodiment, the user may not purchase the wearable electronic device, and therefore the user is queried in a manner that is closer to the user's needs, for example, although the user has a poor physical state, the user may select the wearable electronic device according to his needs because the user still needs to wear clothes that are not warm but are beautiful when he is in a certain place.
(2) First determination module 20
The first determining module 20 is configured to determine a target temperature range according to the body state information and the weather information.
Specifically, the weather information includes weather conditions such as sunny, rain, fog, snow, insolation, dryness, and the temperature range of the day.
In some embodiments, if the weather information indicates a weather condition where insolation will occur, then clothing information such as sun screens, sun shades, sun caps, and the like may be recommended; if the weather information indicates that a dry weather condition is to appear, prompting a user to pay attention to water replenishing; if the weather information indicates that the weather is rainy today, clothing information such as raincoats, waterproof shoe covers, umbrellas and the like is recommended.
In some embodiments, the first determining module 20 may specifically be configured to:
if the body state information indicates that the body state of the user is a healthy state, taking the temperature range of the current day as a target temperature range;
and if the body state information indicates that the body state of the user is a sub-health state, determining a target temperature range according to the temperature range of the day.
Specifically, if the physical state of the user is healthy, it is not necessary to consider recommending clothes that are more warm to the user, and therefore, the temperature range of the day may be directly set as the target temperature range.
Specifically, if the body state of the user is a sub-healthy state, it is proved that the user is weak and may catch cold or get ill, and a garment that is more warm is often needed, and therefore, the minimum temperature and the maximum temperature in the temperature range of the day are both reduced by a certain value, wherein the reduced values of the minimum temperature and the maximum temperature may be different or the same, and are preferably in the range of 3 to 5, and then the new value is combined into a new range as the target temperature range. For example, the temperature range of the day is 15-20 ℃, where the minimum temperature is 15 ℃ and the maximum temperature is 20 ℃, if the user's physical health status is sub-healthy, the minimum temperature is reduced by 5 ℃, the maximum temperature is reduced by 3 ℃, the new minimum temperature is 10 ℃, and the new maximum temperature is 17 ℃, then the target temperature range is 10-17 ℃.
(3) Second determination module 30
And the second determining module 30 is configured to determine the target clothing information from a preset clothing information base according to the target temperature range.
Specifically, a plurality of pieces of clothing information and the wearable temperature range of each piece of clothing information are recorded in the clothing information base.
In some embodiments, the clothing information base records a plurality of pieces of clothing information and a wearable temperature range of each piece of clothing information, and the second determining module 30 may be specifically configured to:
determining clothing information to be recommended from a clothing information base according to the target temperature range and the wearable temperature range;
acquiring user preference information corresponding to the clothing information to be recommended;
and determining target clothing information according to the clothing information to be recommended and the user preference information.
Specifically, the user preference information may include a clothing score and a user wearing number, which are used to calculate a recommendation degree in a subsequent step as a criterion for recommending clothing. The user preference information can be recorded in a clothing information base, for example, clothing scores can be input in the clothing information base by the user in advance; the wearing times can be automatically updated after each recommendation is finished if the user selects certain piece of clothing information.
In some embodiments, the "determining the clothing information to be recommended from the clothing information base according to the target temperature range and the wearable temperature range" may specifically include:
determining a plurality of matched pieces corresponding to the target temperature range;
acquiring a preset adjustment proportion corresponding to each matched piece number;
determining a dressing temperature range according to the target temperature range and a preset adjustment proportion;
and determining the information of the clothes to be recommended from the clothes information base according to the dressing temperature range, the wearable temperature range and the corresponding matched number.
Specifically, the target temperature range may correspond to a plurality of matching strategies, for example, when the temperature is low, we can wear a thick garment or wear several thinner garments, and thus, different matching strategies may be embodied by matching the number of pieces, for example, one piece, two pieces, or three pieces.
Specifically, when the target temperature range is determined, that is, the recommended clothing is determined to make the user most comfortable in the temperature range, if the clothing is recommended only according to the wearable temperature range, the user feels dry heat when the number of the matched pieces is plural, and therefore, an adjustment ratio should be set to determine the final clothing temperature range, for example, the adjustment ratio is 1 when the number of the matched pieces is one, and the adjustment ratio may be 0.8 when the number of the matched pieces is two. Specifically, the target temperature range is multiplied by a preset adjustment ratio to obtain the dressing temperature range. For example, if the target temperature range is 10 to 20 ℃ and the adjustment ratio is 0.8, 8 to 16 ℃ is determined as the dressing temperature range. Specifically, the clothing information with the wearing temperature range within the clothing temperature range in the clothing information base is used as the clothing information to be combined, the clothing information is combined according to the number of matched pieces, and at least one group of clothing information is used as the clothing information to be recommended.
For example, if the number of matched pieces is one, the clothing information with the wearable temperature range within the wearable temperature range is directly used as the clothing information to be recommended, if the number of matched pieces is two, the clothing information with the wearable temperature range within the wearable temperature range is used as the clothing information to be combined, then the clothing information to be combined is combined in pairs, and at least one set of combined clothing information is used as the clothing information to be recommended.
Further, the "determining the target clothing information according to the clothing information to be recommended and the user preference information" may include:
determining recommendation degrees corresponding to the clothing information to be recommended according to the clothing scores and the wearing times of the user;
sequencing each piece of clothing information to be recommended according to the recommendation degree from high to low;
and acquiring the information of the clothes to be recommended at the front preset position in the sequencing sequence as target recommended clothes information.
Specifically, the recommendation degree may be determined according to the clothing score and the number of times of wearing by the user in a preset ratio, for example, if the clothing score is 9.5 points, the number of times of wearing is 10 times, and the preset ratio is 0.5, 9.5 × 0.5+10 × 0.5 — 9.75 is used as the recommendation degree. The recommendation degree represents the preference degree of the user, so that when recommending, the clothing information with high recommendation degree should be selected for priority recommendation, and then the clothing information to be recommended needs to be sorted according to the recommendation degree, and then the front preset position in the sorting sequence is used as the target clothing information.
In some embodiments, if the number of the matched pieces is more than one, the clothing scores and the wearing times should be averaged, and then the recommendation degree should be determined according to a preset proportion.
(4) Recommendation module 40
And the recommending module 40 is used for generating the dressing information according to the target clothing information and recommending the dressing information to the user.
Specifically, a corresponding dressing picture can be generated according to target clothing information and then displayed on a display interface, if the user is satisfied with the recommended dressing information and can directly click to determine, then the dressing record information of the current day is automatically generated, namely, the dressing times are updated, in addition, after the dressing is finished, the user can take a dressing effect picture and store the dressing effect picture in a clothing information base so as to record the dressing change of the user, and in addition, some network dressing effect pictures can be stored for reference, so that the dressing level and the clothing taste of the user can be gradually improved; if the user is not satisfied with the recommended dressing information, the user can modify certain clothing information, then click to determine, and then generate the dressing record information of the day, namely update the dressing times.
Referring to fig. 5, fig. 5 is another schematic structural diagram of a clothing information recommendation device according to an embodiment of the present application, as shown in fig. 5, in some embodiments, the clothing information recommendation device may further include a first creating module 50, configured to:
acquiring a clothing purchase record of a user, wherein the clothing purchase record comprises a clothing purchase link;
entering a clothing detail page corresponding to the clothing purchase link;
acquiring clothing information, season information and fabric information in a clothing detail page;
determining a proper temperature range according to the season information and the fabric information;
and creating a preset clothing information base according to the clothing information and the wearable temperature range.
The clothing purchase record can include any purchase website or purchase record in application such as Taobao, Jingdong and the like. In addition, the clothing information may be picture information.
In some embodiments, the clothing information recommendation apparatus may further include a second creating module 60 for:
acquiring user input information, wherein the user input information comprises a garment two-dimensional code;
entering a clothing detail interface corresponding to the clothing two-dimension code, wherein the clothing detail interface comprises clothing information, season information and fabric information;
determining a proper temperature range according to the season information and the fabric information;
and creating a preset clothing information base according to the clothing information and the wearable temperature range.
If the input information of the user is the garment two-dimensional code, the user enters a detail interface corresponding to the garment two-dimensional code through a scanning function, and then specific information in the detail interface is acquired, wherein the garment information can be picture information.
In addition, the user can directly input the clothing information and the corresponding wearable temperature range in the clothing information base to manually expand the clothing information base. Besides, some contents already stored in the clothing information base can be supplemented.
In specific implementation, the above modules may be implemented as independent entities, or may be combined arbitrarily to be implemented as the same or several entities, and specific implementation of the above modules may refer to the foregoing method embodiments, which are not described herein again.
As can be seen from the above, the clothing information recommendation apparatus provided in this embodiment is applied to a mobile terminal, determines a target temperature range according to the body state information and the weather information through the obtaining module 10, then, the first determination module 20 determines a target temperature range according to the body state information and the weather information, next, the second determining module 30 determines the target clothing information from the preset clothing information base according to the target temperature range, and then, the recommending module 40 generates dressing information according to the target clothing information, recommends the dressing information to the user, therefore, intelligent and humanized clothing information recommendation is realized, clothing information adaptive to the body state and the weather state of the user on the same day can be recommended to the user, the problem that the user feels sick or uncomfortable due to improper dressing is avoided, convenience is provided for the user, the clothing information of the user cannot be omitted, and user experience is improved.
In addition, the embodiment of the application further provides a mobile terminal, and the mobile terminal can be a smart phone, a tablet computer and other devices. As shown in fig. 6, the mobile terminal 500 includes a processor 501, a memory 502. The processor 501 is electrically connected to the memory 502.
The processor 501 is a control center of the mobile terminal 500, 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 loading an application stored in the memory 502 and calling data stored in the memory 502, thereby integrally monitoring the mobile terminal.
In this embodiment, the processor 501 in the mobile terminal 500 loads instructions corresponding to processes of one or more application programs into the memory 502 according to the following steps, and the processor 501 runs the application programs stored in the memory 502, so as to implement various functions:
acquiring body state information and weather information of a user;
determining a target temperature range according to the body state information and the weather information;
determining target clothing information from a preset clothing information base according to the target temperature range;
and generating dressing information according to the target clothing information, and recommending the dressing information to the user.
Fig. 7 is a block diagram illustrating a specific structure of a mobile terminal according to an embodiment of the present application, where the mobile terminal may be used to implement the clothing information recommendation method provided in the foregoing embodiment. The mobile terminal 300 may be a smart phone or a tablet computer.
The RF circuit 310 is used for receiving and transmitting electromagnetic waves, and performs interconversion between the electromagnetic waves and electrical signals, thereby communicating with a communication network or other devices. RF circuitry 310 may include various existing circuit elements for performing these functions, such as an antenna, a radio frequency transceiver, a digital signal processor, an encryption/decryption chip, a Subscriber Identity Module (SIM) card, memory, and so forth. RF circuit 310 may communicate with various networks such as the internet, an intranet, a wireless network, or with other devices over a wireless network. The wireless network may comprise a cellular telephone network, a wireless local area network, or a metropolitan area network. The Wireless network may use various Communication standards, protocols and technologies, including but not limited to Global System for Mobile Communication (GSM), Enhanced Mobile Communication (EDGE), Wideband Code Division Multiple Access (WCDMA), Code Division Multiple Access (CDMA), Time Division Multiple Access (TDMA), Wireless Fidelity (Wi-Fi) (e.g., IEEE802.11a, IEEE802.11 b, IEEE802.11g and/or IEEE802.11 n), Voice over Internet Protocol (VoIP), world wide Microwave Access (Microwave for Wireless), Max-1, and other short message Communication protocols, as well as any other suitable communication protocols, and may even include those that have not yet been developed.
The memory 320 may be configured to store software programs and modules, such as the clothing information recommendation method and the corresponding program instructions/modules in the above embodiments, and the processor 380 executes various functional applications and data processing, i.e., implements the communication data saving function, by running the software programs and modules stored in the memory 320. The memory 320 may include high speed random access memory and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 320 may further include memory located remotely from the processor 380, which may be connected to the mobile terminal 300 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input unit 330 may be used to receive input numeric or character information and generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function control. In particular, the input unit 330 may include a touch-sensitive surface 331 as well as other input devices 332. The touch-sensitive surface 331, also referred to as a touch screen or touch pad, may collect touch operations by a user on or near the touch-sensitive surface 331 (e.g., operations by a user on or near the touch-sensitive surface 331 using a finger, a stylus, or any other suitable object or attachment), and drive the corresponding connection device according to a predetermined program. Alternatively, the touch sensitive surface 331 may comprise two parts, a touch detection means 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 380, and can receive and execute commands sent by the processor 380. In addition, the touch-sensitive surface 331 may be implemented using various types of resistive, capacitive, infrared, and surface acoustic waves. The input unit 330 may comprise other input devices 332 in addition to the touch sensitive surface 331. In particular, other input devices 332 may include, but are not limited to, one or more of a physical keyboard, function keys (such as volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and the like.
The display unit 340 may be used to display information input by or provided to the user and various graphical user interfaces of the mobile terminal 300, which may be made up of graphics, text, icons, video, and any combination thereof. The Display unit 340 may include a Display panel 341, and optionally, the Display panel 341 may be configured in the form of an LCD (Liquid Crystal Display), an OLED (Organic Light-Emitting Diode), or the like. Further, touch-sensitive surface 331 may overlay display panel 341, and when touch-sensitive surface 331 detects a touch operation thereon or thereabout, communicate to processor 380 to determine the type of touch event, and processor 380 then provides a corresponding visual output on display panel 341 in accordance with the type of touch event. Although in FIG. 7, touch-sensitive surface 331 and display panel 341 are implemented as two separate components for input and output functions, in some embodiments, touch-sensitive surface 331 and display panel 341 may be integrated for input and output functions.
The mobile terminal 300 may also include at least one sensor 350, such as a light sensor, a motion sensor, and other sensors. Specifically, the light sensor may include an ambient light sensor that may adjust the brightness of the display panel 341 according to the brightness of ambient light, and a proximity sensor that may turn off the display panel 341 and/or the backlight when the mobile terminal 300 is moved to the ear. As one of the motion sensors, the gravity acceleration sensor can detect the magnitude of acceleration in each direction (generally, three axes), can detect the magnitude and direction of gravity when the mobile phone is stationary, and can be used for applications of recognizing the posture of the mobile phone (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), vibration recognition related functions (such as pedometer and tapping), and the like; as for other sensors such as a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which may be further configured on the mobile terminal 300, detailed descriptions thereof are omitted.
Audio circuitry 360, speaker 361, and microphone 362 may provide an audio interface between a user and the mobile terminal 300. The audio circuit 360 may transmit the electrical signal converted from the received audio data to the speaker 361, and the audio signal is converted by the speaker 361 and output; on the other hand, the microphone 362 converts the collected sound signal into an electrical signal, which is received by the audio circuit 360 and converted into audio data, which is then processed by the audio data output processor 380 and then transmitted to, for example, another terminal via the RF circuit 310, or the audio data is output to the memory 320 for further processing. The audio circuit 360 may also include an earbud jack to provide communication of a peripheral headset with the mobile terminal 300.
The mobile terminal 300, which may assist the user in e-mail, web browsing, streaming media access, etc., through the transmission module 370 (e.g., a Wi-Fi module), provides the user with wireless broadband internet access. Although fig. 7 shows the transmission module 370, it is understood that it does not belong to the essential constitution of the mobile terminal 300 and may be omitted entirely within the scope not changing the essence of the invention as needed.
The processor 380 is a control center of the mobile terminal 300, connects various parts of the entire mobile phone using various interfaces and lines, and performs various functions of the mobile terminal 300 and processes data by operating or executing software programs and/or modules stored in the memory 320 and calling data stored in the memory 320, thereby integrally monitoring the mobile phone. Optionally, processor 380 may include one or more processing cores; in some embodiments, processor 380 may integrate an application processor, which primarily handles operating systems, user interfaces, applications, etc., and a modem processor, which primarily handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into processor 380.
The mobile terminal 300 also includes a power supply 390 (e.g., a battery) that provides power to the various components and, in some embodiments, may be logically coupled to the processor 380 via a power management system to manage charging, discharging, and power consumption management functions via the power management system. The power supply 190 may also include any component including one or more of a dc or ac power source, a recharging system, a power failure detection circuit, a power converter or inverter, a power status indicator, and the like.
Although not shown, the mobile terminal 300 may further include a camera (e.g., a front camera, a rear camera), a bluetooth module, etc., which will not be described herein. Specifically, in this embodiment, the display unit of the mobile terminal is a touch screen display, the mobile terminal further includes a memory, and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs include instructions for:
acquiring body state information and weather information of a user;
determining a target temperature range according to the body state information and the weather information;
determining target clothing information from a preset clothing information base according to the target temperature range;
and generating dressing information according to the target clothing information, and recommending the dressing information to the user.
In specific implementation, the above modules may be implemented as independent entities, or may be combined arbitrarily to be implemented as the same or several entities, and specific implementation of the above modules may refer to the foregoing method embodiments, which are not described herein again.
It will be understood by those skilled in the art that all or part of the steps of the methods of the above embodiments may be performed by instructions or by associated hardware controlled by the instructions, which may be stored in a computer readable storage medium and loaded and executed by a processor. To this end, embodiments of the present application provide a storage medium including mobile terminal-executable instructions. The mobile terminal executable instructions, when executed by a mobile terminal processor, perform the steps of any one of the clothing information recommendation methods provided by the embodiments of the present application.
Wherein the storage medium may include: read Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disks, and the like.
Since the instructions stored in the storage medium can execute the steps in any clothing information recommendation method provided by the embodiment of the present invention, the beneficial effects that can be achieved by any clothing information recommendation method provided by the embodiment of the present invention can be achieved, which are detailed in the foregoing embodiments and will not be described herein again.
The above operations can be implemented in the foregoing embodiments, and are not described in detail herein.
In summary, although the present application has been described with reference to the preferred embodiments, the above-described preferred embodiments are not intended to limit the present application, and those skilled in the art can make various changes and modifications without departing from the spirit and scope of the present application, so that the scope of the present application shall be determined by the appended claims.

Claims (10)

1. A clothing information recommendation method is applied to a mobile terminal and is characterized by comprising the following steps:
acquiring body state information and weather information of a user;
determining a target temperature range according to the body state information and the weather information;
determining target clothing information from a preset clothing information base according to the target temperature range;
and generating dressing information according to the target clothing information, and recommending the dressing information to the user.
2. The clothing information recommendation method according to claim 1, wherein the weather information includes a temperature range of a current day, and the determining a target temperature range according to the body state information and the weather information specifically includes:
if the body state information indicates that the body state of the user is a healthy state, taking the temperature range of the current day as a target temperature range;
and if the body state information indicates that the body state of the user is a sub-health state, determining a target temperature range according to the temperature range of the current day.
3. The clothing information recommendation method according to claim 1, wherein a plurality of pieces of clothing information and a wearable temperature range of each piece of clothing information are recorded in the clothing information base, and the determining of the target clothing information from a preset clothing information base according to the target temperature range specifically includes:
determining clothing information to be recommended from the clothing information base according to the target temperature range and the wearable temperature range;
acquiring user preference information corresponding to the clothing information to be recommended;
and determining target clothing information according to the clothing information to be recommended and the user preference information.
4. The clothing information recommendation method according to claim 3, wherein the determining clothing information to be recommended from the clothing information base according to the target temperature range and the wearable temperature range specifically comprises:
determining a plurality of matched pieces corresponding to the target temperature range;
acquiring a preset adjustment proportion corresponding to each matched piece number;
determining a dressing temperature range according to the target temperature range and a preset adjustment proportion;
and determining the information of the clothes to be recommended from a clothes information base according to the dressing temperature range, the wearable temperature range and the corresponding number of matched pieces.
5. The clothing information recommendation method according to claim 3, wherein the user preference information includes clothing scores and user wearing times, and the determining the target clothing information according to the clothing information to be recommended and the user preference information specifically includes:
determining the recommendation degree of the corresponding clothing information to be recommended according to the clothing score and the wearing times of the user;
sequencing each piece of clothing information to be recommended according to the recommendation degree from high to low;
and acquiring the clothing information to be recommended at the front preset position in the sequencing sequence as target recommended clothing information.
6. The clothing information recommendation method according to any one of claims 1-5, further comprising, before determining the target clothing information from a preset clothing information base according to the target temperature range:
acquiring a clothing purchase record of a user, wherein the clothing purchase record comprises a clothing purchase link;
entering a clothing detail page corresponding to the clothing purchasing link;
acquiring clothing information, season information and fabric information in the clothing detail page;
determining a temperature range suitable for wearing according to the season information and the fabric information;
and creating a preset clothing information base according to the clothing information and the wearable temperature range.
7. The clothing information recommendation method according to any one of claims 1-5, further comprising, before determining the target clothing information from a preset clothing information base according to the target temperature range:
acquiring user input information, wherein the user input information comprises a garment two-dimensional code;
entering a clothing detail interface corresponding to the clothing two-dimension code, wherein the clothing detail interface comprises clothing information, season information and fabric information;
determining a temperature range suitable for wearing according to the season information and the fabric information;
and creating a preset clothing information base according to the clothing information and the wearable temperature range.
8. A clothing information recommendation device is applied to a mobile terminal, and is characterized by comprising:
an acquisition module; the system comprises a body state information acquisition module, a weather information acquisition module and a weather information acquisition module, wherein the body state information and the weather information acquisition module are used for acquiring body state information and weather information of a user;
the first determination module is used for determining a target temperature range according to the body state information and the weather information;
the second determining module is used for determining target clothing information from a preset clothing information base according to the target temperature range;
and the recommending module is used for generating the dressing information according to the target clothing information and recommending the dressing information to the user.
9. A computer-readable storage medium having stored thereon a plurality of instructions adapted to be loaded by a processor to perform the clothing information recommendation method of any one of claims 1 to 7.
10. A mobile terminal, comprising a processor and a memory, wherein the processor is electrically connected to the memory, and the memory is used for storing instructions and data, and the processor is used for executing the steps of the clothing information recommendation method according to any one of claims 1 to 7.
CN202010124509.2A 2020-02-27 2020-02-27 Clothing information recommendation method and device, mobile terminal and storage medium Pending CN111353100A (en)

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CN113671843A (en) * 2021-07-26 2021-11-19 青岛海尔空调器有限总公司 Method and device for controlling household appliance, household appliance and storage medium

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