Input association recommendation method and apparatus for optimizing commercial word promotion

A recommendation method and a recommendation device technology, which are applied in the field of computer networks, can solve problems such as reducing user search experience, failing to provide relevant information with commercial value, and pushing service information for user search intentions.

Active Publication Date: 2018-07-24
BEIJING QIHOO TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the traditional search recommendation uses the dictionary tree model, based on the user's search frequency in the search engine, according to the probability arrangement, and displays fixed words in a fixed position. The sorting method is simple, and it cannot be combined with the user's search intention to push it to meet its business needs. Service information, unable to provide relevant information with commercial value, poor recommendation relevance, and reduce user search experience

Method used

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  • Input association recommendation method and apparatus for optimizing commercial word promotion
  • Input association recommendation method and apparatus for optimizing commercial word promotion
  • Input association recommendation method and apparatus for optimizing commercial word promotion

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Embodiment 1

[0115] This embodiment takes figure 2 For example, figure 2 It is a specific flow chart of generating an input associative candidate thesaurus according to an embodiment of the present invention. Such as figure 2 As shown, in this embodiment, step S201 is first performed to mine the user's input search behavior and / or click search behavior in each search engine in the network to generate a user search behavior log.

[0116] Further, step S202 is executed to calculate the weight of each search term according to the rate of change and surge of each search term in the search behavior log. In this step, the weight of the search term includes a static weight and a dynamic weight of the search term, and a more specific measurement can be performed for each search term by calculating the weight of each search term. Of course, the method according to the present invention can also extract required candidate words from user search behavior logs through other feasible measures. T...

Embodiment 2

[0121] This embodiment is further expanded on the basis of Embodiment 1. After generating the input associative candidate thesaurus, in order to be able to link the recommended information with the user's business needs and better improve the search rate of commercial words, the search recommendation function Diversification, thereby improving the liquidity and relevance of input associations as a whole, increasing the revenue of commercial search, and adjusting the generated input association candidate thesaurus.

[0122] Figure 4 It is a specific flowchart of an input association recommendation method for optimizing commercial word promotion according to an embodiment of the present invention. Such as Figure 4 As shown, in this implementation, step S401 is first performed to extract high-skilled thesaurus with commercial value from the search advertisement delivery system. The high-commercial thesaurus in this embodiment may include a collection of high-commercial words ...

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Abstract

The invention provides an input association recommendation method and apparatus for optimizing commercial word promotion. The method comprises the steps of mining a search behavior log of a user, andextracting candidate words from the search behavior log of the user based on a preset extraction model to generate an input association candidate word library; matching the input association candidateword library with a high-quotient word library of a search advertisement release system, and according to a matching result, adjusting the input association candidate word library; receiving a searchquery input by the user, and sorting the adjusted input association candidate word library in combination with the search query; and recommending the sorted input association candidate word library as an input association recommendation result of the search query. The correlation between high-quotient words in the high-quotient word library and input association can be reasonably utilized; the candidate words can be accurately recommended to express a search intention of the user and improve the search experience; and the business revenue obtained by quotation through the high-quotient wordscan be increased, so that the cashability and the correlation search of the whole input association can be improved.

Description

technical field [0001] The invention relates to the technical field of computer networks, in particular to an input association recommendation method and device for optimizing commercial word promotion. Background technique [0002] With the continuous development of computer network technology, the network is flooded with various information. At present, the method of obtaining information through the network is not only fast in information acquisition speed, but also obtains a large amount of information and rich content, which is easier to meet user needs. What follows is that more and more users search and obtain various information through web search. Furthermore, with the continuous advancement of the network, users can obtain various commodities or services through online transactions without leaving home, which brings great convenience to users' daily life. [0003] However, according to existing search technologies, when a user inputs a certain query word through ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F3/023G06F17/30
CPCG06F3/0237G06F16/90344G06F16/9535
Inventor 彭睿棋赵亮
Owner BEIJING QIHOO TECH CO LTD
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