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A clothes matching recommendation method and system
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A recommendation method and recommendation system technology, applied in the network field, can solve the problems of not considering fashion trends, not good-looking, and unable to satisfy users' sense of fashion, and achieve the effect of improving purchase enthusiasm, good profit and service platform
Inactive Publication Date: 2018-09-14
SHANGHAI KANGFEI INFORMATION TECH CO LTD
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However, this invention does not have a specific recommendation form for the recommendation schemes of different users. Users may appear inappropriate or unattractive due to reasons such as body shape, and it does not consider fashion trends, which cannot meet the needs of users to wear fashion sense.
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Embodiment 1
[0048] This embodiment provides a method for recommending clothes and collocations, such as figure 1 shown, including steps:
[0049] S11. Obtain basic personal information of platform users;
[0050] S12. Determine whether to accept the personal matching plan uploaded by the platform user, and if so, disclose the personal matching plan to the platform, and obtain user evaluations from other platform users;
[0051] S13. Rewarding the platform user according to the quality of the user evaluation;
[0052] Wherein, step S13 includes at least:
[0053] It is judged whether the good rating of the user evaluation reaches the first threshold and whether the bad rating is lower than the second threshold, and if so, the platform user is rewarded, otherwise, no reward is given.
[0054] As users pay more and more attention to their own outfits and are influenced by trends, users hope to obtain clothes that are both suitable for them and can lead the fashion trend in the era of big ...
Embodiment 2
[0092] This embodiment provides a method for recommending clothes and collocations. The difference from Embodiment 1 is that this embodiment recommends the most suitable clothing for the user according to the geographical location of the user and the weather conditions of the day, which can maintain a sense of fashion while , to adapt to the temperature of the weather, such as image 3 shown, including steps:
[0093] S21. Obtain basic personal information of platform users;
[0094] S22. Obtain the weather information of the day and the geographical information of the platform user;
[0095] S23. According to the personal basic information and the weather information and geographical information, recommend a dressing and matching scheme for the platform user, and obtain the evaluation of the platform user;
[0096] S24. Determine whether to accept the personal matching plan uploaded by the platform user, and if so, disclose the personal matching plan to the platform and obt...
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Abstract
The invention provides a clothes matching recommendation method and system. The method comprises the steps of: S1, acquiring personal basic information of a platform user; S2, judging whether to receive personal matching schemes uploaded by the platform user, and if yes, making public the personal matching schemes in the platform and acquiring user comments from other platform users; S3, giving award to the platform users according to the user comments. According to the invention, all the platform users can participate in recommendation; through the comments of actual clothes matching given bythe platform users, clothes matching recommendation becomes more reasonable, so that clothes matching which is suitable for platform users and keeps up with fashion trends can be recommended to the platform users; through the method of giving award according to user comments, such as reviewing and thumbs-up, the purchase enthusiasm of users can be effectively improved and a better profit and service platform can be provided for merchants.
Description
technical field [0001] The present invention relates to the field of network technology, in particular to a method and system for recommending clothes and collocations Background technique [0002] As users pay more and more attention to their own outfits and are influenced by trends, users hope to obtain clothes that are both suitable for them and can lead the fashion trend in the era of big data. The existing clothing collocation recommendation is usually based on the user's own data plus external factors such as weather, environment and other factors to recommend the user's clothing collocation. There are two problems in this method. One is that the user does not have the recommended collocation. Is there a situation where it doesn’t look good because of factors such as body shape? Second, all recommendations are calculated, and the resources on which the calculations are based are limited, so the recommended results are also limited, and as people continue to With chang...
Claims
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