Ranking and searching method and ranking and searching device based on interpersonal distance

A distance and user technology, applied in the direction of network data retrieval, network data indexing, and other database retrieval, etc., can solve problems such as inability to rank users

Inactive Publication Date: 2013-01-16
ALIBABA GRP HLDG LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The embodiment of the present application provides a ranking method and device based on interpersonal distance to solve the problem in the prior art that the ranking cannot be combined with user characteristics

Method used

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  • Ranking and searching method and ranking and searching device based on interpersonal distance
  • Ranking and searching method and ranking and searching device based on interpersonal distance
  • Ranking and searching method and ranking and searching device based on interpersonal distance

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Experimental program
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Effect test

Embodiment 1

[0052] like figure 1 As shown, the ranking method based on interpersonal distance provided in Embodiment 1 of the present application may include:

[0053] Step 101, the ranking server determines the query commodity group according to the commodity query request of the user.

[0054] Before step 101, it may also include that the ranking server accepts the product query request sent by the user through the terminal where the user is located, which carries product description information, such as product category information, merchant information providing the product, or product identification information (such as product name or product model, etc.) ) or a combination of one or more items in other relevant information, according to the product description information, the ranking server can obtain all matching products as the query product group. According to the existing search technology, when there are too many keyword information in the product query request and there is ...

Embodiment 2

[0087] The embodiment of the present application calculates the merchant relationship dimension ranking index of the reference merchant based on the interpersonal distance from the reference merchant to the user and the evaluation value of the reference merchant, and ranks the reference merchants based on the merchant relationship dimension ranking index.

[0088] see figure 2 , is a schematic flowchart of the ranking method based on interpersonal distance provided by the embodiment of the present application. As shown in the figure, the process may include:

[0089] In step 201, the ranking server obtains the product query request submitted by the user through the terminal, and obtains corresponding reference merchants according to the product description information therein.

[0090] Step 202, the ranking server sends a social relationship query request to the social relationship server, and obtains the interpersonal distances from the user who initiated the query request t...

Embodiment 3

[0103] This embodiment calculates the user relationship dimension ranking index of the commodity based on the distance between the buyer and the user and the evaluation value of the buyer on the commodity, and calculates the ranking index based on the interpersonal distance from the merchant that provides the commodity to the user and the evaluation value of the merchant. Referring to the merchant relationship dimension ranking index of the merchant, and comprehensively considering the user relationship dimension ranking index and the merchant relationship dimension ranking index, the products are evaluated and sorted.

[0104] see image 3 , based on the technical idea similar to the above-mentioned method embodiment, the embodiment of the present application provides a schematic flowchart of a ranking method based on interpersonal distance, as shown in the figure, the process may include:

[0105] Step 301, the ranking server receives the user's commodity query request, and ...

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Abstract

The invention discloses a ranking and searching method and a ranking and searching device based on interpersonal distance. The method comprises the following steps of: acquiring each object requested to be queried through a ranking server according to a query request initialized by a user terminal, and acquiring a reference user group which corresponds to each queried object; acquiring the interpersonal distance from each user in the reference user group to a user who initializes the query request, and acquiring an evaluation value of the object requested to be queried by the user in the reference user group; and determining a user relationship dimensionality ranking index of each object according to the acquired interpersonal distance and the evaluation value, and ranking each object according to the user relationship dimensionality ranking index of each object. Compared with the prior art, the embodiment has the advantages that the ranking server carries out ranking according to the length of the interpersonal distance between the user and the reference user and the evaluation value of the reference user, and reference value of the social circle selection of the user on the selective shopping of the user is quantized, so that a ranking method based on user characteristics is provided.

Description

technical field [0001] The present application relates to the field of computer and Internet technologies, and in particular to a method and device for ranking and searching based on interpersonal distance. Background technique [0002] When a user is shopping online, he usually uses the ranking of the product as a reference to determine the product to be purchased. The current commodity ranking methods provided to users include price, geographical location, credit evaluation, sales volume, and the like. However, these ranking methods may not necessarily enable users to quickly search for the products they want to buy, because whether a product is suitable for a person is not just a simple price issue, nor is it just a matter of credit evaluation. It reflects the quality of the product, but it cannot guarantee that the product with a high credit rating is the product that the user likes. In addition to reference factors such as price and credit evaluation, the user's tempe...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06Q30/02G06Q50/01G06Q30/0282G06F16/951G06F16/9535G06F16/9536
Inventor 冷山述
Owner ALIBABA GRP HLDG LTD
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