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Cache optimization method of real-time vertical search engine objects

A vertical search engine and object search technology, which is applied in the field of real-time vertical search engine object cache optimization, can solve the problems of no solution, short development history of real-time vertical search engines, and low crawling quota utilization, so as to increase experience and increase Utilization, the effect of realizing adaptive configuration

Inactive Publication Date: 2010-03-10
ZHEJIANG UNIV
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AI Technical Summary

Problems solved by technology

[0004] However, due to the short development history of real-time vertical search engines, and the complexity of real-time vertical search engine cache scheduling, the industry has not yet had a mature solution for this
Existing real-time vertical search engines still use the crawl scheduling method of traditional vertical search engines, and the utilization rate of crawl quotas is not high

Method used

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  • Cache optimization method of real-time vertical search engine objects
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  • Cache optimization method of real-time vertical search engine objects

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Embodiment Construction

[0035] The present invention will be further described in conjunction with accompanying drawing and embodiment now.

[0036] Such as figure 1 Shown, the specific implementation process and working principle of the present invention are as follows:

[0037] 1) According to the relationship between objects, predict the popularity trend of objects, and calculate the cache weight of each object in the next cycle;

[0038] 2) According to the cache weight of each object obtained in step 1), the grabbing quota is allocated to different objects, and the grabbing quota is initially adjusted according to the user's access rule to the same object;

[0039] 3) Calculate the actual data change frequency of each object, and dynamically balance the grabbing quotas of different objects.

[0040] Such as figure 1 ), the association relationship between objects in step 1) uses the attribute association between objects. For example, the ticket object contains three attributes {departure cit...

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Abstract

The invention discloses a cache optimization method of real-time vertical search engine objects, comprising the following steps: predicting the popularity trend of different objects and calculating the cache weights of different objects by utilizing the relation between the objects and the object properties; calculating the initial distribution and adjustment method of the grasping quota in each object by utilizing the characteristics the query to the same object by users conforms to a poisson process and the data grasping is used as query driving; and calculating the dynamic balance method ofthe grasping quota in each object by utilizing the characteristic that the true change frequency of data conforms to the poisson process. The invention increases the use ratio of the vertical searchengine on the grasping quota of a data site, increases user experience of real-time vertical search engine and realizes the adaptive configuration of the real-time vertical search engine to differentdata sites.

Description

technical field [0001] The invention relates to a technology related to data cache and capture coordination of a real-time vertical search engine system, in particular to a method for optimizing real-time vertical search engine object cache based on a Poisson process. Background technique [0002] The real-time vertical search engine provides users with more appropriate, more accurate, real-time, and higher satisfaction search results through technologies such as user query-driven data capture and semantic analysis. It fundamentally solves the problem of outdated and serious data results of traditional vertical search engines, and satisfies the increasingly strong demand for high real-time performance in users' searches for specific fields such as air tickets and stock markets. [0003] It is the core technology of a real-time vertical search engine to improve the user's search experience by combining the real-time query results of the crawler with the server cache results. ...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 陈珂陈刚寿黎但胡天磊周佳庆
Owner ZHEJIANG UNIV
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