Method and system for detecting abnormal data in mobile advertisement click traffic

The invention relates to a method and system for detecting abnormal data in mobile advertisement click traffic, and the method comprises the steps: obtaining a mobile advertisement click traffic table data set, carrying out the preprocessing of numerical features and classification features in the d...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: WANG LEI, WANG NINGNING, CUI GUOXI, ZHAO XIAOYONG, ZHANG JINGLE, LU HUIYA, GAO XIAOYU
Format: Patent
Sprache:chi ; eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator WANG LEI
WANG NINGNING
CUI GUOXI
ZHAO XIAOYONG
ZHANG JINGLE
LU HUIYA
GAO XIAOYU
description The invention relates to a method and system for detecting abnormal data in mobile advertisement click traffic, and the method comprises the steps: obtaining a mobile advertisement click traffic table data set, carrying out the preprocessing of numerical features and classification features in the data set, and randomly dividing the data set into a training set and a test set; inputting the training set into a pre-constructed abnormal mobile traffic table data model, representing a learning borrowing task by using traffic table data, and training the abnormal mobile traffic table data model by providing context knowledge priori through self-supervised pre-training to obtain a trained abnormal mobile traffic table data model; and inputting the test set into the trained abnormal mobile traffic table data model to obtain false click traffic data in the mobile advertisement click traffic. According to the method, false invalid click traffic data can be effectively detected, loss caused by invalid traffic is avoid
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN116738272A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN116738272A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN116738272A3</originalsourceid><addsrcrecordid>eNqNyj0KwkAQBtA0FqLeYTyARRIwthIUG220D5Pdb-Pg_oTdQfD2Nh7A6jVvWd2v0GeyxNFS-RRFIJcyWSiMSpyIx5hyYE-WlUkihTSKB7F9I6sUBEQl48W8SDM7J2ZdLRz7gs3PVbU9nx79ZYc5DSgzG0To0N_qet-1h6Zrju0_5wtNojhw</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Method and system for detecting abnormal data in mobile advertisement click traffic</title><source>esp@cenet</source><creator>WANG LEI ; WANG NINGNING ; CUI GUOXI ; ZHAO XIAOYONG ; ZHANG JINGLE ; LU HUIYA ; GAO XIAOYU</creator><creatorcontrib>WANG LEI ; WANG NINGNING ; CUI GUOXI ; ZHAO XIAOYONG ; ZHANG JINGLE ; LU HUIYA ; GAO XIAOYU</creatorcontrib><description>The invention relates to a method and system for detecting abnormal data in mobile advertisement click traffic, and the method comprises the steps: obtaining a mobile advertisement click traffic table data set, carrying out the preprocessing of numerical features and classification features in the data set, and randomly dividing the data set into a training set and a test set; inputting the training set into a pre-constructed abnormal mobile traffic table data model, representing a learning borrowing task by using traffic table data, and training the abnormal mobile traffic table data model by providing context knowledge priori through self-supervised pre-training to obtain a trained abnormal mobile traffic table data model; and inputting the test set into the trained abnormal mobile traffic table data model to obtain false click traffic data in the mobile advertisement click traffic. According to the method, false invalid click traffic data can be effectively detected, loss caused by invalid traffic is avoid</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><creationdate>2023</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20230912&amp;DB=EPODOC&amp;CC=CN&amp;NR=116738272A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25563,76418</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20230912&amp;DB=EPODOC&amp;CC=CN&amp;NR=116738272A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>WANG LEI</creatorcontrib><creatorcontrib>WANG NINGNING</creatorcontrib><creatorcontrib>CUI GUOXI</creatorcontrib><creatorcontrib>ZHAO XIAOYONG</creatorcontrib><creatorcontrib>ZHANG JINGLE</creatorcontrib><creatorcontrib>LU HUIYA</creatorcontrib><creatorcontrib>GAO XIAOYU</creatorcontrib><title>Method and system for detecting abnormal data in mobile advertisement click traffic</title><description>The invention relates to a method and system for detecting abnormal data in mobile advertisement click traffic, and the method comprises the steps: obtaining a mobile advertisement click traffic table data set, carrying out the preprocessing of numerical features and classification features in the data set, and randomly dividing the data set into a training set and a test set; inputting the training set into a pre-constructed abnormal mobile traffic table data model, representing a learning borrowing task by using traffic table data, and training the abnormal mobile traffic table data model by providing context knowledge priori through self-supervised pre-training to obtain a trained abnormal mobile traffic table data model; and inputting the test set into the trained abnormal mobile traffic table data model to obtain false click traffic data in the mobile advertisement click traffic. According to the method, false invalid click traffic data can be effectively detected, loss caused by invalid traffic is avoid</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>PHYSICS</subject><subject>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNyj0KwkAQBtA0FqLeYTyARRIwthIUG220D5Pdb-Pg_oTdQfD2Nh7A6jVvWd2v0GeyxNFS-RRFIJcyWSiMSpyIx5hyYE-WlUkihTSKB7F9I6sUBEQl48W8SDM7J2ZdLRz7gs3PVbU9nx79ZYc5DSgzG0To0N_qet-1h6Zrju0_5wtNojhw</recordid><startdate>20230912</startdate><enddate>20230912</enddate><creator>WANG LEI</creator><creator>WANG NINGNING</creator><creator>CUI GUOXI</creator><creator>ZHAO XIAOYONG</creator><creator>ZHANG JINGLE</creator><creator>LU HUIYA</creator><creator>GAO XIAOYU</creator><scope>EVB</scope></search><sort><creationdate>20230912</creationdate><title>Method and system for detecting abnormal data in mobile advertisement click traffic</title><author>WANG LEI ; WANG NINGNING ; CUI GUOXI ; ZHAO XIAOYONG ; ZHANG JINGLE ; LU HUIYA ; GAO XIAOYU</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN116738272A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2023</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><topic>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</topic><toplevel>online_resources</toplevel><creatorcontrib>WANG LEI</creatorcontrib><creatorcontrib>WANG NINGNING</creatorcontrib><creatorcontrib>CUI GUOXI</creatorcontrib><creatorcontrib>ZHAO XIAOYONG</creatorcontrib><creatorcontrib>ZHANG JINGLE</creatorcontrib><creatorcontrib>LU HUIYA</creatorcontrib><creatorcontrib>GAO XIAOYU</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>WANG LEI</au><au>WANG NINGNING</au><au>CUI GUOXI</au><au>ZHAO XIAOYONG</au><au>ZHANG JINGLE</au><au>LU HUIYA</au><au>GAO XIAOYU</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Method and system for detecting abnormal data in mobile advertisement click traffic</title><date>2023-09-12</date><risdate>2023</risdate><abstract>The invention relates to a method and system for detecting abnormal data in mobile advertisement click traffic, and the method comprises the steps: obtaining a mobile advertisement click traffic table data set, carrying out the preprocessing of numerical features and classification features in the data set, and randomly dividing the data set into a training set and a test set; inputting the training set into a pre-constructed abnormal mobile traffic table data model, representing a learning borrowing task by using traffic table data, and training the abnormal mobile traffic table data model by providing context knowledge priori through self-supervised pre-training to obtain a trained abnormal mobile traffic table data model; and inputting the test set into the trained abnormal mobile traffic table data model to obtain false click traffic data in the mobile advertisement click traffic. According to the method, false invalid click traffic data can be effectively detected, loss caused by invalid traffic is avoid</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language chi ; eng
recordid cdi_epo_espacenet_CN116738272A
source esp@cenet
subjects CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
title Method and system for detecting abnormal data in mobile advertisement click traffic
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T15%3A36%3A25IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=WANG%20LEI&rft.date=2023-09-12&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN116738272A%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true