Ranking and Searching Method and Apparatus Based on Interpersonal Distances

Abstract

The present disclosure discloses a method and an apparatus for ranking and searching based on interpersonal distances. The method includes: obtaining, by a ranking server, objects queried by a query request based on the request initiated from a user client and obtaining reference user groups corresponding to the queried objects; obtaining, by a ranking server, an interpersonal distance between each user in the reference user groups and a user who initiates the query request, and obtaining rating scores of the objects queried by the request that are given by each user in respective reference user groups; determining, by a ranking server, user relationship ranking indices of the objects based on the interpersonal distances and the rating scores, and ordering the objects based on the user relationship ranking indices of the objects. Compared with the existing technologies, the example ranking server performs ranking based on interpersonal distances between a user and reference users as well as rating scores associated with the reference users, quantifies a reference value of choices associated with a social network of the user with respect to shopping choices of the user, and provides a ranking method that is based on characteristics of the user.

What is claimed is: 
     
         1 . A method for ranking based on interpersonal distances, comprising:
 obtaining, by a ranking server, objects queried by a query request based on the request initiated from a user client and obtaining a reference user group corresponding to each queried object;   obtaining, by a ranking server, interpersonal distances between users in the reference user group and a user who initiates the query request, and obtaining rating scores of each object queried by the request that are given by the users in the reference user group; and   determining, by a ranking server, a user relationship ranking index of each object based on the interpersonal distances and the rating scores, and ordering the objects based on respective user relationship ranking indices of the objects.