CN110781383B - Method for determining comprehensive sequencing investigation index - Google Patents
Method for determining comprehensive sequencing investigation index Download PDFInfo
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- CN110781383B CN110781383B CN201910926649.9A CN201910926649A CN110781383B CN 110781383 B CN110781383 B CN 110781383B CN 201910926649 A CN201910926649 A CN 201910926649A CN 110781383 B CN110781383 B CN 110781383B
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- 238000011835 investigation Methods 0.000 title claims abstract description 65
- 238000000034 method Methods 0.000 title claims abstract description 13
- 238000012163 sequencing technique Methods 0.000 title claims description 8
- 238000007689 inspection Methods 0.000 claims description 8
- 230000009191 jumping Effects 0.000 claims description 3
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention discloses a method for determining comprehensive sorting investigation indexes, and relates to the technical field of comprehensive sorting. The invention comprises the following steps: step one, extracting keywords of searched articles, step two, matching the inspected index n from an inspected index database according to the keywords as a core sorting basis, step three, carrying out primary sorting on all articles according to the inspected index n, step four, judging whether the inspected index n meets the requirement of a user, if any item in the first five of the ranks is selected by the user, representing that the inspected index n meets the requirement of the user, and uploading the inspected index n and the content of the keywords of the articles to the inspected index database, otherwise, not meeting the requirement of the user, and carrying out the next step.
Description
Technical Field
The invention relates to the technical field of comprehensive sorting, in particular to a method for determining a comprehensive sorting investigation index.
Background
The comprehensive sorting algorithm refers to a calculation method of information system output, which evaluates the relevance of the result and the user intention according to the factors of user input, user characteristics, current scene and the like, sorts the result according to the relevance and the importance, and returns the most needed result of the user; the comprehensive sorting is to list corresponding core investigation indexes according to service scenes and find out corresponding object features according to the investigation indexes.
At present, the investigation indexes established according to the service scene cannot meet the search requirements of all users, and after the users demand the ranking of the objects, the corresponding investigation indexes need to be adjusted according to the difference of active selection of different users, so that the technical problem to be solved by the technicians in the field is solved.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a method for determining the comprehensive sorting investigation index, which solves the problems in the background art.
In order to achieve the above purpose, the invention is realized by the following technical scheme: a method for determining comprehensive sorting investigation indexes comprises the following steps:
step one, extracting keywords of searched articles;
step two, matching the investigation index n from the investigation index database according to the keywords to serve as a core sequencing basis;
thirdly, primarily sequencing all the articles according to the investigation index n;
judging whether the object keyword content meets the user requirements, if the user selects any one of the fifth item of the ranking, representing the investigation index n to meet the user requirements, and uploading the investigation index n and the object keyword content in a investigation index database in a correlation manner; otherwise, the user requirements are not met, and the next step is carried out;
step five, increasing the investigation index weight related to the selected item by m, reducing the investigation index weight related to the item before the selected item is ranked by m, and reducing the investigation index weight related to the five items after the selected item is ranked
And step six, updating the ordering of the articles according to the recalculated weight, and jumping to the step four.
Further, the investigation index n is an investigation standard of 1-10 range number, and the formula of m is as follows:
and f is the ratio of the number of the inspection standards related to the selected articles, and x is the ranking number corresponding to the articles.
Further, the investigation index database is a cloud server based on IPv6, and the ordering programs related to the initial ordering of the articles and the updating of the ordering of the articles are all quick ordering algorithms written based on C++.
Further, the article keywords are matched and sequenced with the investigation index database through a TF-IDF algorithm, and the TF-IDF algorithm comprises the following formula:the numerator in the above formula is the number of occurrences of the keyword in the index under investigation, and the denominator is the sum of the number of occurrences of all keywords in the index under investigation.
Further, the act of actively selecting the item by the user comprises clicking an item link, viewing the detail content of the item, sending an item inquiry and purchasing the item, and closing an item page within 10 seconds after clicking the item link does not count the range of actively selecting the item by the user.
The invention has the following beneficial effects:
1. according to the method for determining the comprehensive sorting investigation indexes, the core investigation indexes of the articles are updated in real time according to the difference actively selected by the user, so that the article sorting logic is optimized, the articles required by the user are ranked at the front, and the searching efficiency is improved.
2. According to the method for determining the comprehensive sorting investigation indexes, the user actively selects and recalculates the weight of the articles, the articles meeting the user requirements and the core investigation indexes of the articles are brought into the investigation index database, so that the selection algorithm of the investigation indexes is optimized continuously, and the matching completion degree of the articles required by the user and the service scene is improved.
Of course, it is not necessary for any one product to practice the invention to achieve all of the advantages set forth above at the same time.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for determining a comprehensive sorting investigation index;
FIG. 2 is a flow chart of the recalculation of the weights of items according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1-2, the present invention provides a technical solution: a method for determining comprehensive sorting investigation indexes comprises the following steps:
step one, extracting keywords of searched articles;
step two, matching the investigation index n from the investigation index database according to the keywords to serve as a core sequencing basis;
thirdly, primarily sequencing all the articles according to the investigation index n;
judging whether the object keyword content meets the user requirements, if the user selects any one of the fifth item of the ranking, representing the investigation index n to meet the user requirements, and uploading the investigation index n and the object keyword content in a investigation index database in a correlation manner; otherwise, the user requirements are not met, and the next step is carried out;
step five, increasing the investigation index weight related to the selected item by m, reducing the investigation index weight related to the item before the selected item is ranked by m, and reducing the investigation index weight related to the five items after the selected item is ranked
And step six, updating the ordering of the articles according to the recalculated weight, and jumping to the step four.
Wherein, the investigation index n is the investigation standard of the number of the range of 1-10, and the formula of m is as follows:
f is the ratio of the number of the inspection standard related to the selected article, x is the ranking number corresponding to the article, and the inspection is carried outThe inspection index database is a cloud server based on IPv6, the sorting programs related to the primary sorting of the articles and the updating of the sorting of the articles are all quick sorting algorithms written based on C++, the weight of the articles is recalculated through active selection of users, the articles meeting the requirements of the users and the core inspection indexes of the articles are brought into the inspection index database, the selection algorithms of the inspection indexes are optimized continuously, and the matching completion degree of the articles required by the users and business scenes is improved.
The article keywords are matched and sequenced with the investigation index database through a TF-IDF algorithm, wherein the TF-IDF algorithm comprises the following formulas:the numerator in the above formula is the number of occurrences of the keyword in the index under investigation, and the denominator is the sum of the number of occurrences of all keywords in the index under investigation.
The act of actively selecting the article by the user comprises clicking an article link, checking the detailed content of the article, sending an article inquiry and purchasing the article, closing an article page within 10 seconds after clicking the article link represents misoperation of the user, and the clicked article is not required by the user and does not fall into the range of actively selecting the article by the user.
The goods comprise goods which can be produced and sold and evaluating contents related to the goods, and the evaluating contents are convenient for providing inquiry information for users.
The foregoing is only a preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art, who is within the scope of the present invention, should make equivalent substitutions or modifications according to the technical scheme of the present invention and the inventive concept thereof, and should be covered by the scope of the present invention.
Claims (3)
1. The method for determining the comprehensive sorting investigation index is characterized by comprising the following steps of:
step one, extracting keywords of searched articles;
step two, matching the investigation index n from the investigation index database according to the keywords to serve as a core sequencing basis;
thirdly, primarily sequencing all the articles according to the investigation index n;
judging whether the object keyword content meets the user requirements, if the user selects any one of the fifth item of the ranking, representing the investigation index n to meet the user requirements, and uploading the investigation index n and the object keyword content in a investigation index database in a correlation manner; otherwise, the user requirements are not met, and the next step is carried out;
step five, increasing the investigation index weight related to the selected item by m, reducing the investigation index weight related to the item before the selected item is ranked by m, and reducing the investigation index weight related to the five items after the selected item is ranked
Step six, updating the ordering of the articles according to the recalculated weight, and jumping to the step four;
wherein the investigation index n is an investigation standard of 1-10 range number, and the formula of m is as follows:f is the ratio of the number of the inspection standards related to the selected articles, and x is the ranking number corresponding to the articles;
the article keywords are matched and sequenced with the investigation index database through a TF-IDF algorithm, and the TF-IDF algorithm comprises the following formulas:the numerator in the above formula is the number of occurrences of the keyword in the index under investigation, and the denominator is the sum of the number of occurrences of all keywords in the index under investigation.
2. The method for determining comprehensive sorting investigation indexes according to claim 1, wherein the investigation index database is an IPv 6-based cloud server, and sorting programs related to the initial sorting of the articles and the updating of the sorting of the articles are all quick sorting algorithms written based on C++.
3. The method for determining comprehensive sorting investigation indexes according to claim 1, wherein the act of actively selecting the articles by the user comprises clicking an article link, checking the detail of the articles, sending an article inquiry and purchasing the articles, and closing an article page within 10 seconds after clicking the article link does not count in the range of actively selecting the articles by the user.
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101739416A (en) * | 2008-11-04 | 2010-06-16 | 未序网络科技（上海）有限公司 | Method for sequencing multi-index comprehensive weight video |
| CN110287420A (en) * | 2019-06-28 | 2019-09-27 | 深圳前海微众银行股份有限公司 | A kind of training method and device of information recommendation system |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| US20070260597A1 (en) * | 2006-05-02 | 2007-11-08 | Mark Cramer | Dynamic search engine results employing user behavior |
| US8818992B2 (en) * | 2008-09-12 | 2014-08-26 | Nokia Corporation | Method, system, and apparatus for arranging content search results |
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Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101739416A (en) * | 2008-11-04 | 2010-06-16 | 未序网络科技（上海）有限公司 | Method for sequencing multi-index comprehensive weight video |
| CN110287420A (en) * | 2019-06-28 | 2019-09-27 | 深圳前海微众银行股份有限公司 | A kind of training method and device of information recommendation system |
Non-Patent Citations (2)
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| 陈双全 ; .产品数据库高效关键词查询设计与实现.电脑编程技巧与维护.2017,(22),全文. * |
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