Method and device for recommending contacts
A contact recommendation and contact technology, applied in the field of network communication, can solve the problems of limited contact search range, unfavorable user relationship chain expansion, etc., and achieve the effect of being conducive to expanding and expanding the search range.
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no. 1 example
[0022] refer to figure 2 As shown, the first embodiment of the present invention provides a method for recommending contacts, and the method for recommending contacts includes the following steps:
[0023] Step S1, when receiving a contact recommendation request from the client, obtain the user's avatar according to the contact recommendation request;
[0024] Step S2, searching the information database for information of one or more contacts matching the user's avatar;
[0025] Step S3, returning the information of the contact obtained from the search to the client, thereby recommending the contact to the user.
[0026] According to the above contact recommendation method, when a contact recommendation request from the client is received, a contact matching the user's avatar is searched from the information database and recommended to the user, which can expand the search range of contacts and is beneficial to the user relationship chain expansion.
[0027] In some exampl...
no. 2 example
[0041] In order to further expand the scope of recommended contacts and improve the matching degree between recommended contacts and user needs, refer to Figure 5 As shown, the second embodiment of the present invention provides a method for recommending contacts. Compared with the method for recommending contacts in the first embodiment, the step S2 includes not only the steps S210 and S211, but also:
[0042] Step S222, sequentially comparing the data of the specified feature point in the face data of the user and each contact to obtain the similarity between the user and the specified feature point of each contact. The specified feature point is, for example, a feature point or a combination of multiple feature points pre-designated by the user such as nose, eyes, and mouth. The similarity of the specified feature point only reflects the similarity between the user and the corresponding contact at the specified feature point, but does not reflect the overall similarity bet...
no. 3 example
[0047] In order to enrich the types of recommended contacts, further expand the recommended range of contacts, and improve the matching degree between recommended contacts and user needs, refer to Figure 7 As shown, the third embodiment of the present invention proposes a method for recommending contacts. Compared with the method for recommending contacts in the first embodiment, the step S2 includes not only the steps S210 and S211, but also:
[0048] Step S232, compare the data of each corresponding feature point in the face data of the user and each contact in turn, and obtain the similarity of each corresponding feature point between the user and each contact, for example, obtain the user's nose and contact How similar is Person A's nose, how similar is the user's mouth to Contact A's mouth, and so on.
[0049] Step S233, from the information database, search for one or more contacts whose similarity with the user's corresponding feature points reaches a third preset thre...
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