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Method and device for recommending keyword

A recommendation method and keyword technology, which is applied in the computer field, can solve the problems of not considering customers' willingness to consume, reduce the success rate of recommendation, waste recommendation resources, etc., and achieve the effect of improving the success rate of recommendation, reducing the number of queries, and saving recommendation resources

Active Publication Date: 2013-05-08
BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, existing keyword recommendation methods only consider the semantic correlation between keywords and query words, and do not consider customers' consumption intentions. For example, although the semantic correlation between some recommended keywords and query words higher, but the attributes of these keywords do not meet the customer's willingness to consume, and these keywords will not be purchased by customers, which wastes recommendation resources. Recommended resources are reduced, and the success rate of recommendation is reduced

Method used

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  • Method and device for recommending keyword

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Embodiment 1

[0048] figure 1 The flow chart of the method provided by Embodiment 1 of the present invention, such as figure 1 As shown, the method may include the following steps:

[0049] Step 101: Obtain the customer's query words.

[0050] The query word is usually the query word entered by the customer when logging into the keyword recommendation system.

[0051] Step 102: Search keywords whose semantic correlation with the query term meets the preset correlation requirement from the candidate keyword database, and select the top N keywords with semantic correlation, where N is a preset positive integer.

[0052] In this step, an existing semantic correlation calculation method may be used to calculate the semantic correlation between keywords in the candidate keyword database and the query word. For example, the following method can be selected: after word segmentation processing is performed on keywords and query words, respectively, based on the inverse document frequency (IDF) o...

Embodiment 2

[0087] figure 2 The device structure diagram provided for the second embodiment of the present invention, such as figure 2 As shown, the keyword recommendation device may include: a query word acquisition unit 200 , a willingness determination unit 210 and a keyword recommendation unit 220 .

[0088] The query term acquiring unit 200 acquires the customer's query term.

[0089] The query word is usually the query word entered by the customer when logging into the keyword recommendation system.

[0090] The willingness determining unit 210 classifies the customers by using a classifier trained in advance from the samples of the customers' willingness to consume, and determines the willingness to consume of the customers.

[0091] The sample of customer consumption intention can be selected from the customer consumption data of known consumption intention, and the customer's consumption intention can include but not limited to: bidding information of purchasing keywords, geo...

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Abstract

The invention provides a method and device for recommending a keyword. The method comprises the steps of: obtaining a search term of a customer; classifying the customer by utilizing a classifier trained through consuming willingness samples of customers in advance, and determining the consuming willingness of the customer; and selecting the front M keywords from a candidate keyword library according to a comprehensive ranking index to serve as the keywords recommended to the customer, wherein the comprehensive ranking index of the keywords is calculated by utilizing a matching degree of attributive characteristics of keywords and consuming willingness of the customer and semantic relevancy between the keywords and the search item, and the M is a preset positive integer. The method and device for recommending the keyword can save recommendation resource and improve recommendation success rate.

Description

【Technical field】 [0001] The present invention relates to the field of computer technology, in particular to a keyword recommendation method and device. 【Background technique】 [0002] As a successful online advertising form, search promotion has outstanding commercial value and is widely adopted by search engine providers. In order to advertise or market on the network, the client (the client involved in the present invention is an enterprise advertising or marketing through the network) purchases keywords from the search engine provider, when the user (the user involved in the present invention is the general use of the network) When a user) uses this keyword to start a search on a search engine, while displaying large search results, the advertisement of the customer who purchased the keyword will be displayed to the user. The position of the ad is usually above or on the right side of the large search results, and the ranking can change according to the purchase payment...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06Q30/02
Inventor 鲍鹏飞广宇昊
Owner BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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