CN110427395A - A kind of computer data acquiring digging system - Google Patents

A kind of computer data acquiring digging system Download PDF

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Publication number
CN110427395A
CN110427395A CN201910740368.4A CN201910740368A CN110427395A CN 110427395 A CN110427395 A CN 110427395A CN 201910740368 A CN201910740368 A CN 201910740368A CN 110427395 A CN110427395 A CN 110427395A
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module
user
commodity
feature
label
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高寅生
李向军
王光
张岗亭
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Xian University
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Xian University
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2455Query execution
    • G06F16/24553Query execution of query operations
    • G06F16/24554Unary operations; Data partitioning operations
    • G06F16/24556Aggregation; Duplicate elimination
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2457Query processing with adaptation to user needs
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2458Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2462Approximate or statistical queries
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2458Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2465Query processing support for facilitating data mining operations in structured databases
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/248Presentation of query results
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • G06F16/9535Search customisation based on user profiles and personalisation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241Advertisements
    • G06Q30/0251Targeted advertisements
    • G06Q30/0255Targeted advertisements based on user history

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Databases & Information Systems (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Computational Linguistics (AREA)
  • Business, Economics & Management (AREA)
  • Probability & Statistics with Applications (AREA)
  • Strategic Management (AREA)
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  • Fuzzy Systems (AREA)
  • Accounting & Taxation (AREA)
  • Development Economics (AREA)
  • Mathematical Physics (AREA)
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  • Game Theory and Decision Science (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Economics (AREA)
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  • General Business, Economics & Management (AREA)
  • Information Transfer Between Computers (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The invention discloses a kind of computer data acquiring digging system, including web page tag editor module, webpage is given to add label, and by webpage and its label record;User is accustomed to acquisition module, collects the webpage that user browsed by browser, and the label record for the webpage that user browsed is got off;Data-mining module counts the label for the webpage that user browsed, and obtains the hobby feature of user;Commodity feature acquisition module, by commodity description carry out keyword extraction obtain commodity the characteristics of;Merchandise news sorting module, according to hobby feature the matched data library lookup commodity the characteristics of, and by with investigate and prosecute out commodity the characteristics of consistent shopping website commodity screen;It polymerize distribution module, the commodity screened in display of commodity message ordering module.The present invention, in the browsing feature of webpage, obtains the feature of user according to user by way of data mining, displays for a user the commodity of its suitable feature in the feature according to user.

Description

A kind of computer data acquiring digging system
Technical field
The present invention relates to computer field, in particular to a kind of computer data acquiring digging system.
Background technique
In present Internet application, search engine is that user often uses.Search engine can help user to look for The content wanted to oneself, especially in shopping, user finds the thing for oneself wanting purchase by search engine, is searching for It is selected in thing out, finally decides whether to buy.
In present shopping software, search engine is only all searched out into the commodity come and is simply enumerated, and simultaneously Do not account for which type of product user is suitble to, in this way, user carries out when selecting of commodity, when will spend more Between, the commodity for being suitble to oneself can be just found, so for a long time, are bound to reduce the experience of user.
Summary of the invention
The purpose of the present invention is overcoming above-mentioned problems of the prior art, a kind of computer data acquiring excavation is provided System obtains the feature of user according to user in the browsing feature of webpage by way of data mining, in the spy according to user Sign displays for a user the commodity of its suitable feature.
For this purpose, the present invention provides a kind of computer data acquiring digging system, comprising:
Web page tag editor module, for give webpage add label, and by each webpage and its label record clear It lookes in device;
User is accustomed to acquisition module, collects the webpage that each user browsed by browser, and user was browsed The label record of webpage get off;
The label of data-mining module, the webpage for browsing to user is for statistical analysis, obtains the hobby of user Feature;
User characteristics memory module excavates the User ID and device pair of each user obtained in module for storing data The hobby feature answered;
The description of each of shopping website commodity is carried out the extraction of keyword, obtained by commodity feature acquisition module The characteristics of each commodity;
Merchandise news sorting module finds the hobby of user according to the User ID of user in user characteristics memory module Feature, further according to user hobby feature the matched data library lookup corresponding commodity the characteristics of, and by with the commodity investigated and prosecuted out The characteristics of consistent shopping website commodity screen;
The characteristics of matching database, hobby feature and the hobby feature for storing user corresponding commodity;
It polymerize distribution module, the commodity for will screen in merchandise news sorting module are distributed to by display end User shows.
Further, the web page tag editor module includes:
Web page contents read module, for extracting the text information on webpage;
Keyword extracting module, for extracting whole keywords of the text information on webpage;
Label determining module counts the keyword in keyword extracting module extraction module, and will come out Label of most keywords as the webpage;
Label record module, by label determining module webpage and the webpage corresponding label storage in a browser In memory space.
Further, the data-mining module packet will include:
The label of label statistical module, the webpage for browsing user counts, and obtains the appearance of each label Number, and be ranked up according to the sort method of descending;
Property data base, for store user hobby feature and the hobby feature corresponding to webpage label, one Like the corresponding label of feature;
Each label in label statistical module is searched in property data base, must be corresponded to by matching module Hobby feature;
User characteristics determining module will all be liked feature and be counted, obtains each happiness obtained in matching module The number that good feature occurs, and being ranked up according to the sort method of descending, will sequence first five hobby feature as The hobby feature of user exports.
Further, the merchandise news sorting module according to user characteristics determining module determine sequence first five The hobby feature for liking each user of feature, is successively screened, and the happiness by the commodity filtered out according to corresponding to it The sequence of good feature is ranked up.
Further, the polymerization distribution module sorts when carrying out the display of commodity according to the merchandise news The sequence of commodity is from top to bottom successively shown in display end in module.
Further, the polymerization distribution module includes:
Price obtains module, for obtaining the price of each commodity in the merchandise news sorting module;
Sorting module carries out the sequence of ascending order or descending for the price according to commodity to commodity;
Display module, for according to the successively from top to bottom display of commodity on display end of the collating sequence in sorting module.
A kind of computer data acquiring digging system provided by the invention, has the following beneficial effects:
1, the feature of user is obtained in the browsing feature of webpage by way of data mining according to user, according to The feature at family displays for a user the commodity of its suitable feature;
2, when being shown to user's merchandise news, according to multiple features of user, each feature is successively shown Corresponding commodity, to user more to select;
3, user is supported to be ranked up according to price to commodity in display end, so that user is when picking commodities More efficiently.
Detailed description of the invention
Fig. 1 is a kind of system connection signal block diagram of computer data acquiring digging system provided by the invention.
Specific embodiment
With reference to the accompanying drawing, the specific embodiment of the present invention is described in detail, it is to be understood that of the invention Protection scope be not limited by the specific implementation.
As shown in Figure 1, the embodiment of the invention provides a kind of computer data acquiring digging systems, comprising:
Web page tag editor module, for give webpage add label, and by each webpage and its label record clear It lookes in device;
Pass through LDA from the content of webpage specifically, extracting by the content to webpage to webpage addition label Model extraction goes out the theme of webpage, and as the label of webpage, which is added to webpage, while by each webpage In a browser with its label record.
User is accustomed to acquisition module, collects the webpage that each user browsed by browser, and user was browsed The label record of webpage get off;
The module is due to tracking user, to understand the habit of user, in the module, by browser to the clear of user Webpage of looking at is monitored, and by the label record of user's browsing webpage in the storage of browser, each user has it The label of the corresponding webpage browsed.
The label of data-mining module, the webpage for browsing to user is for statistical analysis, obtains the hobby of user Feature;
The module counts the label of the webpage browsed to user, obtains the quantity of the consistent label of each content, And the most label of quantity is obtained, the hobby feature as user.
User characteristics memory module excavates the User ID and device pair of each user obtained in module for storing data The hobby feature answered;
The description of each of shopping website commodity is carried out the extraction of keyword, obtained by commodity feature acquisition module The characteristics of each commodity;
The module handles the description of each of shopping commodity to by deactivating vocabulary, is passing through LDA theme The description that model extraction goes out commodity carries out keyword subject, and the description of the commodity extracted is carried out keyword subject as this The characteristics of commodity;
Merchandise news sorting module finds the hobby of user according to the User ID of user in user characteristics memory module Feature, further according to user hobby feature the matched data library lookup corresponding commodity the characteristics of, and by with the commodity investigated and prosecuted out The characteristics of consistent shopping website commodity screen;
The module is for screening commodity according to the hobby feature of user, as the hobby feature of user and the spy of commodity When point is corresponding in matching database, which is screened, is the user by user for the hobby feature of user What ID was found in user characteristics memory module.
The characteristics of matching database, hobby feature and the hobby feature for storing user corresponding commodity;It is upper The merchandise news sorting module stated provides query service.
It polymerize distribution module, the commodity for will screen in merchandise news sorting module are distributed to by display end User shows.
The polymerization distribution, looks like to merge several results, combined result is being distributed to user, finally It is shown in user terminal.The module is will be in merchandise news sorting module as a result, be the commodity screened, advanced Row, which summarizes, not to be shown the result after summarizing is delivered to user terminal.
Specifically, the web page tag editor module includes:
Web page contents read module, for extracting the text information on webpage;Keyword extracting module, for extracting net Whole keywords of text information on page;Label determining module, by the keyword in keyword extracting module extraction module into Row statistics, and most keywords will be come out as the label of the webpage;Label record module, will be in label determining module Webpage and the storage of the webpage corresponding label memory space in a browser in.
In the above-mentioned technical solutions, the content for reading webpage first, extracts the text information on webpage, what will be extracted Text information on webpage is handled, and is obtained whole keywords of webpage information, is counted to keyword, obtain each The frequency that keyword occurs, it is finally that the webpage is corresponding finally using the highest keyword of the frequency of occurrences as the label of the webpage Label storage memory space in a browser in.The addition that label is carried out to webpage is achieved.
Specifically, the data-mining module packet will include:
The label of label statistical module, the webpage for browsing user counts, and obtains the appearance of each label Number, and be ranked up according to the sort method of descending;
The module counts the label for the webpage that user browsed, and obtains the number of each label appearance, i.e., often The frequency that one label occurs, and the sort method of the frequency in descending order occurred according to label is ranked up label.
Property data base, for store user hobby feature and the hobby feature corresponding to webpage label, one Like the corresponding label of feature;Property data base provides data supporting for matching module.
Each label in label statistical module is searched in property data base, must be corresponded to by matching module Hobby feature;
The module searches each label in label statistical module in property data base, obtains the happiness of user Good feature, at the same the sequence in label statistical module put in order it is constant.
User characteristics determining module will all be liked feature and be counted, obtains each happiness obtained in matching module The number that good feature occurs, and being ranked up according to the sort method of descending, will sequence first five hobby feature as The hobby feature of user exports.
More specifically, the merchandise news sorting module according to user characteristics determining module determine sequence first five The hobby feature for liking each user of feature, is successively screened, and the happiness by the commodity filtered out according to corresponding to it The sequence of good feature is ranked up.
More specifically, the polymerization distribution module sorts when carrying out the display of commodity according to the merchandise news The sequence of commodity is from top to bottom successively shown in display end in module.In this way, user browsing when, commodity according to The interested degree of user is successively shown from top to bottom, so that user can be appreciated that most feel first when browsing The commodity of interest, to solve the problems, such as overlong time when user selects commodity.
Specifically, the polymerization distribution module includes:
Price obtains module, for obtaining the price of each commodity in the merchandise news sorting module;
Sorting module carries out the sequence of ascending order or descending for the price according to commodity to commodity;
Display module, for according to the successively from top to bottom display of commodity on display end of the collating sequence in sorting module.
In above-mentioned technical proposal, supports user when screening, putting in order for commodity is adjusted by price, So that user be more easier when selecting commodity choose the commodity for meeting and oneself admiring, save that user selects when Between.
In conclusion the invention discloses a kind of computer data acquiring digging systems, comprising: web page tag editor's mould Block, for give webpage add label, and by each webpage and its label record in a browser;User is accustomed to acquisition mould Block collects the webpage that each user browsed by browser, and the label record for the webpage that user browsed is got off;Number According to module is excavated, the label of the webpage for browsing to user is for statistical analysis, obtains the hobby feature of user;User is special Memory module is levied, excavates the User ID and the corresponding hobby feature of device of each user obtained in module for storing data; The description of each of shopping website commodity is carried out the extraction of keyword, obtains each quotient by commodity feature acquisition module The characteristics of product;Merchandise news sorting module finds the happiness of user according to the User ID of user in user characteristics memory module Good feature, further according to user hobby feature the matched data library lookup corresponding commodity the characteristics of, and by with the quotient that investigates and prosecutes out The characteristics of product, the commodity of consistent shopping website screened;Matching database, for storing the hobby feature of user and being somebody's turn to do The characteristics of liking feature corresponding commodity;Polymerization distribution module, the commodity for will be screened in merchandise news sorting module, User is distributed to by display end to show.The present invention, in the browsing feature of webpage, passes through the side of data mining according to user Formula obtains the feature of user, displays for a user the commodity of its suitable feature in the feature according to user.
Disclosed above is only several specific embodiments of the invention, and still, the embodiment of the present invention is not limited to this, is appointed What what those skilled in the art can think variation should all fall into protection scope of the present invention.

Claims (6)

1. a kind of computer data acquiring digging system characterized by comprising
Web page tag editor module, for give webpage add label, and by each webpage and its label record in browser In;
User is accustomed to acquisition module, collects the webpage that each user browsed, and the net that user was browsed by browser The label record of page gets off;
The label of data-mining module, the webpage for browsing to user is for statistical analysis, obtains the hobby feature of user;
User characteristics memory module, User ID and the device for excavating each user obtained in module for storing data are corresponding Like feature;
The description of each of shopping website commodity is carried out the extraction of keyword, obtained each by commodity feature acquisition module The characteristics of a commodity;
Merchandise news sorting module, the hobby for finding user in user characteristics memory module according to the User ID of user are special Sign, further according to user hobby feature the matched data library lookup corresponding commodity the characteristics of, and by with the commodity investigated and prosecuted out The commodity of the consistent shopping website of feature screen;
The characteristics of matching database, hobby feature and the hobby feature for storing user corresponding commodity;
It polymerize distribution module, the commodity for will screen in merchandise news sorting module are distributed to user by display end It is shown.
2. a kind of computer data acquiring digging system as described in claim 1, which is characterized in that the web page tag editor Module includes:
Web page contents read module, for extracting the text information on webpage;
Keyword extracting module, for extracting whole keywords of the text information on webpage;
Label determining module counts the keyword in keyword extracting module extraction module, and will come out at most Label of the keyword as the webpage;
Label record module, by the storage of webpage and the corresponding label storage of the webpage in a browser in label determining module In space.
3. a kind of computer data acquiring digging system as described in claim 1, which is characterized in that the data-mining module Packet will include:
The label of label statistical module, the webpage for browsing user counts, and obtains time of each label appearance Number, and be ranked up according to the sort method of descending;
Property data base, for storing the label of webpage corresponding to the hobby feature and the hobby feature of user, a hobby Feature corresponds to a label;
Each label in label statistical module is searched in property data base, must want corresponding happiness by matching module Good feature;
User characteristics determining module will all be liked feature and be counted obtained in matching module, it is special to obtain each hobby The number occurred is levied, and is ranked up according to the sort method of descending, using sequence in first five a hobby feature as user Hobby feature exported.
4. a kind of computer data acquiring digging system as claimed in claim 3, which is characterized in that the merchandise news sequence Module according to user characteristics determining module determine sequence first five hobby feature each user hobby feature, according to It is secondary to be screened, and the sequence of the hobby feature by the commodity filtered out according to corresponding to it is ranked up.
5. a kind of computer data acquiring digging system as claimed in claim 4, which is characterized in that the polymerization distribution module When carrying out the display of commodity, the sequence of commodity is from top to bottom successively being shown according in the merchandise news sorting module Show that end is shown.
6. a kind of computer data acquiring digging system as described in claim 1, which is characterized in that the polymerization distribution module Include:
Price obtains module, for obtaining the price of each commodity in the merchandise news sorting module;
Sorting module carries out the sequence of ascending order or descending for the price according to commodity to commodity;
Display module, for according to the successively from top to bottom display of commodity on display end of the collating sequence in sorting module.
CN201910740368.4A 2019-08-12 2019-08-12 A kind of computer data acquiring digging system Pending CN110427395A (en)

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102760163A (en) * 2012-06-12 2012-10-31 奇智软件(北京)有限公司 Personalized recommendation method and device of characteristic information
CN105574200A (en) * 2015-12-29 2016-05-11 成都陌云科技有限公司 User interest extraction method based on historical record
CN105718184A (en) * 2014-12-05 2016-06-29 北京搜狗科技发展有限公司 Data processing method and apparatus
CN108960945A (en) * 2017-05-18 2018-12-07 北京京东尚科信息技术有限公司 Method of Commodity Recommendation and device
CN109543111A (en) * 2018-11-28 2019-03-29 广州虎牙信息科技有限公司 Recommendation information screening technique, device, storage medium and server

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102760163A (en) * 2012-06-12 2012-10-31 奇智软件(北京)有限公司 Personalized recommendation method and device of characteristic information
CN105718184A (en) * 2014-12-05 2016-06-29 北京搜狗科技发展有限公司 Data processing method and apparatus
CN105574200A (en) * 2015-12-29 2016-05-11 成都陌云科技有限公司 User interest extraction method based on historical record
CN108960945A (en) * 2017-05-18 2018-12-07 北京京东尚科信息技术有限公司 Method of Commodity Recommendation and device
CN109543111A (en) * 2018-11-28 2019-03-29 广州虎牙信息科技有限公司 Recommendation information screening technique, device, storage medium and server

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Application publication date: 20191108