Method for constructing user space-time portrait array based on big data algorithm

The invention discloses a method for constructing a user space-time portrait array based on a big data algorithm. The method comprises the following steps: collecting all-day operation behavior data of different platforms and different users in different systems; preprocessing the collected data to...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: XIAO LINGSHENG, CAI BIN, ANG RAN, LIN CHAOPENG, ZHANG QIUQUAN, HUANG XIAOBIN
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 XIAO LINGSHENG
CAI BIN
ANG RAN
LIN CHAOPENG
ZHANG QIUQUAN
HUANG XIAOBIN
description The invention discloses a method for constructing a user space-time portrait array based on a big data algorithm. The method comprises the following steps: collecting all-day operation behavior data of different platforms and different users in different systems; preprocessing the collected data to extract user behavior characteristics; establishing user behavior preference labels according to the user behavior characteristics, and performing multi-level division processing; defining user behavior preferences of different time dimensions in a fixed period by using a label attenuation algorithm; analyzing the operation behaviors of multiple users at different time points in batches, and extracting the same service operation behaviors of different users in the same time window; and constructing a service-related user space-time portrait array. According to the method, the time factor and the space factor of the user behavior are comprehensively considered, a dynamic and high-dimensional user space-time portrait
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN118278970A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN118278970A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN118278970A3</originalsourceid><addsrcrecordid>eNqNzLEKwjAQgOEsDqK-w_kABatD21GK4qKDuJdrck0DbS5croNvL4gP4PQvH__aPO-kIzsYWMByzCqL1RA9LJkEckJLhYaZILGoYFBAEXxDj5kccIQ-eHCoCDh5lqDjvDWrAadMu183Zn-9vNpbQYk7-i4jadc-yrI-VnVTHc6nf8wHJHw4JA</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Method for constructing user space-time portrait array based on big data algorithm</title><source>esp@cenet</source><creator>XIAO LINGSHENG ; CAI BIN ; ANG RAN ; LIN CHAOPENG ; ZHANG QIUQUAN ; HUANG XIAOBIN</creator><creatorcontrib>XIAO LINGSHENG ; CAI BIN ; ANG RAN ; LIN CHAOPENG ; ZHANG QIUQUAN ; HUANG XIAOBIN</creatorcontrib><description>The invention discloses a method for constructing a user space-time portrait array based on a big data algorithm. The method comprises the following steps: collecting all-day operation behavior data of different platforms and different users in different systems; preprocessing the collected data to extract user behavior characteristics; establishing user behavior preference labels according to the user behavior characteristics, and performing multi-level division processing; defining user behavior preferences of different time dimensions in a fixed period by using a label attenuation algorithm; analyzing the operation behaviors of multiple users at different time points in batches, and extracting the same service operation behaviors of different users in the same time window; and constructing a service-related user space-time portrait array. According to the method, the time factor and the space factor of the user behavior are comprehensively considered, a dynamic and high-dimensional user space-time portrait</description><language>chi ; eng</language><subject>CALCULATING ; 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>2024</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=20240702&amp;DB=EPODOC&amp;CC=CN&amp;NR=118278970A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76289</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20240702&amp;DB=EPODOC&amp;CC=CN&amp;NR=118278970A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>XIAO LINGSHENG</creatorcontrib><creatorcontrib>CAI BIN</creatorcontrib><creatorcontrib>ANG RAN</creatorcontrib><creatorcontrib>LIN CHAOPENG</creatorcontrib><creatorcontrib>ZHANG QIUQUAN</creatorcontrib><creatorcontrib>HUANG XIAOBIN</creatorcontrib><title>Method for constructing user space-time portrait array based on big data algorithm</title><description>The invention discloses a method for constructing a user space-time portrait array based on a big data algorithm. The method comprises the following steps: collecting all-day operation behavior data of different platforms and different users in different systems; preprocessing the collected data to extract user behavior characteristics; establishing user behavior preference labels according to the user behavior characteristics, and performing multi-level division processing; defining user behavior preferences of different time dimensions in a fixed period by using a label attenuation algorithm; analyzing the operation behaviors of multiple users at different time points in batches, and extracting the same service operation behaviors of different users in the same time window; and constructing a service-related user space-time portrait array. According to the method, the time factor and the space factor of the user behavior are comprehensively considered, a dynamic and high-dimensional user space-time portrait</description><subject>CALCULATING</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>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNzLEKwjAQgOEsDqK-w_kABatD21GK4qKDuJdrck0DbS5croNvL4gP4PQvH__aPO-kIzsYWMByzCqL1RA9LJkEckJLhYaZILGoYFBAEXxDj5kccIQ-eHCoCDh5lqDjvDWrAadMu183Zn-9vNpbQYk7-i4jadc-yrI-VnVTHc6nf8wHJHw4JA</recordid><startdate>20240702</startdate><enddate>20240702</enddate><creator>XIAO LINGSHENG</creator><creator>CAI BIN</creator><creator>ANG RAN</creator><creator>LIN CHAOPENG</creator><creator>ZHANG QIUQUAN</creator><creator>HUANG XIAOBIN</creator><scope>EVB</scope></search><sort><creationdate>20240702</creationdate><title>Method for constructing user space-time portrait array based on big data algorithm</title><author>XIAO LINGSHENG ; CAI BIN ; ANG RAN ; LIN CHAOPENG ; ZHANG QIUQUAN ; HUANG XIAOBIN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN118278970A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2024</creationdate><topic>CALCULATING</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>XIAO LINGSHENG</creatorcontrib><creatorcontrib>CAI BIN</creatorcontrib><creatorcontrib>ANG RAN</creatorcontrib><creatorcontrib>LIN CHAOPENG</creatorcontrib><creatorcontrib>ZHANG QIUQUAN</creatorcontrib><creatorcontrib>HUANG XIAOBIN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>XIAO LINGSHENG</au><au>CAI BIN</au><au>ANG RAN</au><au>LIN CHAOPENG</au><au>ZHANG QIUQUAN</au><au>HUANG XIAOBIN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Method for constructing user space-time portrait array based on big data algorithm</title><date>2024-07-02</date><risdate>2024</risdate><abstract>The invention discloses a method for constructing a user space-time portrait array based on a big data algorithm. The method comprises the following steps: collecting all-day operation behavior data of different platforms and different users in different systems; preprocessing the collected data to extract user behavior characteristics; establishing user behavior preference labels according to the user behavior characteristics, and performing multi-level division processing; defining user behavior preferences of different time dimensions in a fixed period by using a label attenuation algorithm; analyzing the operation behaviors of multiple users at different time points in batches, and extracting the same service operation behaviors of different users in the same time window; and constructing a service-related user space-time portrait array. According to the method, the time factor and the space factor of the user behavior are comprehensively considered, a dynamic and high-dimensional user space-time portrait</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language chi ; eng
recordid cdi_epo_espacenet_CN118278970A
source esp@cenet
subjects CALCULATING
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 for constructing user space-time portrait array based on big data algorithm
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-07T21%3A13%3A11IST&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=XIAO%20LINGSHENG&rft.date=2024-07-02&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN118278970A%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