CN109657050A - A kind of unstructured data retrieval ranking optimization algorithm of temperature sensitivity - Google Patents
A kind of unstructured data retrieval ranking optimization algorithm of temperature sensitivity Download PDFInfo
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- CN109657050A CN109657050A CN201811562664.1A CN201811562664A CN109657050A CN 109657050 A CN109657050 A CN 109657050A CN 201811562664 A CN201811562664 A CN 201811562664A CN 109657050 A CN109657050 A CN 109657050A
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- 238000013549 information retrieval technique Methods 0.000 description 2
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Abstract
The present invention provides a kind of unstructured data retrieval ranking optimization algorithm of temperature sensitivity.The retrieval ranking optimization algorithm is provided with unstructured data object, includes at least multiple data attributes or Attribute class；Service consumer task model missiondata [] includes at least multiple tasks attribute；Temperature score value computing module compare () calculates the temperature score value of search result by the matching degree of unstructured data attribute and service consumer task's attribute.The retrieval ranking optimization algorithm is calculated the temperature score value of search result by the matching degree of unstructured data attribute and service consumer task's attribute and is ranked up based on temperature score value to search result, to realize the optimization of key search result, search result is made to be more in line with user preference.
Description
Technical field
The present invention relates to information retrieval techniques, and in particular to one kind is appointed by unstructured data attribute and service consumer
The matching degree of attribute of being engaged in is calculated the temperature score value of search result and is ranked up to search result based on temperature score value, keyword
The high unstructured data of search result optimization, search result accuracy retrieves ranking optimization algorithm.
Background technique
With being constantly progressive for network and mechanics of communication, current era has been an information highly developed age, one
Aspect, people can quickly obtain the information resources of magnanimity, this undoubtedly brings many convenience to life；On the other hand, information
It is huge before resource space, certain puzzlement is also brought, often makes people dazzled, it is difficult to needed for accurately obtaining oneself
The resource wanted.So that information retrieval technique becomes the important topic that present information utilizes field.
In existing data retrieval technology research, in order to carry out cloud search to Distributed Information Resource, obtain various
Information resources feature and its content, information resources service will utilize web crawlers, combined data excavation, artificial intelligence, natural language
The relevant technologies such as speech processing realize that information resources automation search and intelligentized search, such mode are able to achieve unstructured data
Humongous search, but which mainly carries out the acquisition and search result of unstructured data according to the degree of overlapping of keyword
Sequence, unstructured data attribute and service consumer task's attribute cannot accurately match, so that its search result is accurate
It spends undesirable, user preference cannot be met.
Summary of the invention
The purpose of the present invention is to solve above-mentioned technical problems, provide a kind of unstructured data retrieval ranking of temperature sensitivity
Optimization algorithm, the retrieval ranking optimization algorithm by unstructured data attribute and service consumer task's attribute matching degree come
It calculates the temperature score value of search result and search result is ranked up based on temperature score value, to realize key search knot
The optimization of fruit, makes search result be more in line with user preference.
In order to solve above-mentioned prior art problem, the technical scheme is that
A kind of unstructured data of temperature sensitivity of the present invention retrieves ranking optimization algorithm, the retrieval ranking optimization algorithm setting
Have:
Unstructured data object includes at least multiple data attributes or Attribute class；
Service consumer task model missiondata [] includes at least multiple tasks attribute；
Temperature score value computing module compare () passes through the matching of unstructured data attribute and service consumer task's attribute
It spends to calculate the temperature score value of search result.
The unstructured data preferably uses unstructured data galactic model, the single unstructured data star
It is that model object at least covers 5 the basic class of data object, content class, feature class, behavior class, environmental classes Attribute class, structure is such as
Under:
public object{
private class basicproperty;
private class contentproperty;
private class featureproperty;
private class behaviorproperty;
private class environmentproperty;
}。
The service consumer task data format is as follows:
missiondata[]{
parameter string name;
parameter int age;
parameter string experience;
parameter string workspace;
……
}。
Preferably, the temperature score value computing module includes semanteme comparison module meaningCompare (), the non-knot
The attribute of structure data is provided with weight weight, the temperature score value computing module one by one by the attribute of unstructured data with
The attribute of service consumer task carries out semantic comparison, semantic matches score value is obtained, then by semantic matches score value multiplied by non-knot
The attribute weight of structure data obtains the temperature score value of single attribute, and the temperature score value for all properties that then add up obtains single
The temperature score value of unstructured data.
The temperature score value computing module, structure are as follows:
Int Function compare(object obj1, missiondata[] data1){
Int score = 0;
For(int i = 0;i<length(obj1);i++){
meaningCompare(obj1[i], data1){
For(int j = 0;j<length(data1);j++)
Int Score1 = meaningCompare1(obj1[i], data1[j]);
Score += Score1;
}
Score += score* obj1[i][weight]；
}
Return Score;
}。
The matching degree that the retrieval ranking optimization algorithm passes through unstructured data attribute and service consumer task's attribute
To calculate the temperature score value of search result and be ranked up based on temperature score value to search result.
A kind of unstructured data of temperature sensitivity of the present invention retrieves ranking optimization algorithm, and its advantages have:
1, the retrieval ranking optimization algorithm realizes the optimization of key search result, so that search result is more in line with user inclined
It is good；
2, the accuracy recall rate of the retrieval ranking optimization algorithm is better than rank algorithm, therefore can effectively improve big data clothes
Business search result accuracy, realizes by improving user experience and improves big data service ability.
Detailed description of the invention
Fig. 1 retrieves the flow chart of ranking optimization algorithm for a kind of unstructured data of temperature sensitivity of the present invention.
Specific embodiment
Below with reference to embodiment, the invention will be further described.
Embodiment
A kind of unstructured data of temperature sensitivity of the present invention retrieves ranking optimization algorithm, the retrieval ranking optimization algorithm
It is provided with unstructured data object, structure is as follows:
public object{
private class basicproperty;
private class contentproperty;
private class featureproperty;
private class behaviorproperty;
private class environmentproperty;
}。
Unstructured data object includes 5 basic classes, content class, feature class, 5 behavior class, environmental classes attributes
Class covers multiple attributes of unstructured data comprehensively.
The retrieval ranking optimization algorithm is additionally provided with service consumer task model missiondata [], and format is as follows:
missiondata[]{
parameter string name;
parameter int age;
parameter string experience;
parameter string workspace;
……
}。
The retrieval ranking optimization algorithm by unstructured data attribute and service consumer task's attribute matching degree come
It calculates the temperature score value of search result and search result is ranked up based on temperature score value, temperature score value, which calculates, uses module
Compare (), model are as follows:
Int Function compare(object obj1, missiondata[] data1){
……
Return hotvalue;
}。
The above has been described in detail, described above, is only a preferred embodiment of the present invention, when cannot
It limit the scope of implementation of the present invention, i.e., all increases and decreases or replacement according to the made general technology means of the application range should still belong to this hair
In bright covering scope.
Claims (6)
1. a kind of unstructured data of temperature sensitivity retrieves ranking optimization algorithm, which is characterized in that the retrieval ranking optimization
Algorithm is provided with
Unstructured data object includes at least multiple data attributes or Attribute class；
Service consumer task model missiondata [] includes at least multiple tasks attribute；
Temperature score value computing module compare () passes through the matching of unstructured data attribute and service consumer task's attribute
It spends to calculate the temperature score value of search result, the temperature score value computing module includes semantic comparison module meaningCompare
(), the attribute of the unstructured data are provided with weight weight.
2. a kind of unstructured data of temperature sensitivity according to claim 1 retrieves ranking optimization algorithm, feature exists
In,
The unstructured data preferably uses unstructured data galactic model, the single unstructured data galaxy mould
Type object at least covers 5 the basic class of data object, content class, feature class, behavior class, environmental classes Attribute class, and structure is as follows:
public object{
private class basicproperty;
private class contentproperty;
private class featureproperty;
private class behaviorproperty;
private class environmentproperty;
}。
3. a kind of unstructured data of temperature sensitivity according to claim 1 retrieves ranking optimization algorithm, feature exists
In,
The service consumer task data format is as follows:
missiondata[]{
parameter string name;
parameter int age;
parameter string experience;
parameter string workspace;
……
}。
4. a kind of unstructured data of temperature sensitivity according to claim 1 retrieves ranking optimization algorithm, feature exists
In the temperature score value computing module one by one carries out the attribute of unstructured data and the attribute of service consumer task semantic
It compares, obtains semantic matches score value, then individually belonged to semantic matches score value multiplied by the attribute weight of unstructured data
Property temperature score value, then add up all properties temperature score value, obtain the temperature score value of single unstructured data.
5. a kind of unstructured data of temperature sensitivity according to claim 1 retrieves ranking optimization algorithm, feature exists
In, the temperature score value computing module, structure is as follows:
Int Function compare(object obj1, missiondata[] data1){
Int score = 0;
For(int i = 0;i<length(obj1);i++){
meaningCompare(obj1[i], data1){
For(int j = 0;j<length(data1);j++)
Int Score1 = meaningCompare1(obj1[i], data1[j]);
Score += Score1;
}
Score += score* obj1[i][weight]；
}
Return Score;
}。
6. a kind of unstructured data of temperature sensitivity according to claim 1 retrieves ranking optimization algorithm, feature exists
In,
The retrieval ranking optimization algorithm is counted by the matching degree of unstructured data attribute and service consumer task's attribute
It calculates the temperature score value of search result and search result is ranked up based on temperature score value.
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103279529A (en) * | 2013-05-30 | 2013-09-04 | 北京邮电大学 | Unstructured data retrieval method and system |
| CN106407445A (en) * | 2016-09-29 | 2017-02-15 | 重庆邮电大学 | Unstructured data resource identification and locating method based on URL (Uniform Resource Locator) |
-
2018
- 2018-12-20 CN CN201811562664.1A patent/CN109657050A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103279529A (en) * | 2013-05-30 | 2013-09-04 | 北京邮电大学 | Unstructured data retrieval method and system |
| CN106407445A (en) * | 2016-09-29 | 2017-02-15 | 重庆邮电大学 | Unstructured data resource identification and locating method based on URL (Uniform Resource Locator) |
Non-Patent Citations (1)
| Title |
|---|
| 韩晶等: "基于主体行为的非结构化数据模型", 《计算机工程与设计》 * |
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