Commodity recommending method and system

A product recommendation and product technology, applied in special data processing applications, instruments, electronic digital data processing, etc., can solve problems such as spending a lot of time, affecting user experience, and reducing e-commerce efficiency, so as to improve efficiency and use The effect of experience

Inactive Publication Date: 2015-02-18
SHANGHAI CTRIP COMMERCE CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is that in the existing e-commerce, users need to spend a lot of time to find the goods they want to buy, and a large amount of irrelevant information will ine

Method used

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  • Commodity recommending method and system
  • Commodity recommending method and system

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0056] In the commodity recommendation method of this embodiment, multiple user logs of multiple users are recorded in a database, and the user logs record the historical records of the users in a one-to-one correspondence. refer to figure 1 As shown, the product recommendation method in this embodiment includes the following steps:

[0057] S 1 1. Receive voice information input by a user, and use this user as a target user;

[0058] S 2 1. Perform speech recognition on the speech information and convert it into a text message;

[0059] S 3 , performing structural processing on the text information to generate a structured text;

[0060] S 4 , performing a query in the database according to the structured text to obtain a voice query result;

[0061] S 5 , if the user log of the target user is recorded in the database, record the structured text in the user log of the target user; if the user log of the target user is not recorded in the database, then record the stru...

Embodiment 2

[0078] Such as figure 2 As shown, the product recommendation system of this embodiment includes: database 1, input module 2, speech recognition module 3, structuring module 4, query module 5, log record module 6, cluster analysis module 7, category determination module 8, Neighbor search module 9 , screening module 10 and recommendation module 11 .

[0079] Multiple user logs of multiple users are recorded in the database 1, and the user logs record the historical records of the users in one-to-one correspondence. The input module 2 is used to receive voice information input by a user, and take this user as a target user. The voice recognition module 3 is used for performing voice recognition on the voice information and converting it into a text message.

[0080] The structuring module 4 is used for structuring the text information to generate a structured text. The query module 5 is used for querying the database according to the structured text, so as to obtain a voice ...

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Abstract

The invention discloses a commodity recommending method and system. The commodity recommending method comprises the following steps that voice information input by a target user is received; the voice information is recognized and converted into text information; the text information is processed to generate structured text; inquiring is conducted to obtain a voice inquiring result; the structured text is recorded into a log of the target user; clustering analysis is conducted, and a user cluster which the target user belongs to is obtained; the user closest to the target user is searched for; potential grades, given by the target user, of commodities are calculated according to the average grades, given by the user closet to the target user, of the commodities and the average grades of the target user, and the commodities are screened according to the potential grades to generate a commodity set; a plurality of commodities are selected from the commodity set and recommended to the target user according to the structured text. The commodity recommending method and system avoid a large amount of irrelevant information generated when the user searches for needed commodities in the browsing process in e-commerce, greatly improve the efficiency of the e-commerce and meanwhile greatly improve the use experience of the user.

Description

technical field [0001] The invention relates to a commodity recommendation method and system. Background technique [0002] With the continuous expansion of the scale of e-commerce and the rapid growth of the number and types of commodities, customers need to spend a lot of time to find the commodities they want to buy. This process of browsing a large amount of irrelevant information and products will undoubtedly cause consumers who are submerged in the problem of information overload to continue to lose. [0003] On the other hand, the voice query function has very practical applications in various industries. With the popularity of mobile terminals, more and more voice recognition applications have been developed. The use of speech recognition technology can facilitate the user's search or operation to a certain extent. If the speech recognition technology can be supplemented with a system that actively screens and recommends products according to user needs, it is expe...

Claims

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Application Information

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IPC IPC(8): G06Q30/02G06F17/30
Inventor 何玉
Owner SHANGHAI CTRIP COMMERCE CO LTD
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