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020 _a9783030783037
024 7 _a10.1007/978-3-030-78303-7
_2doi
040 _aTR-AnTOB
_beng
_erda
_cTR-AnTOB
041 _aeng
050 4 _aHF5548.32
072 7 _aTJK
_2bicssc
072 7 _aTEC041000
_2bisacsh
072 7 _aTJK
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090 _aHF5548.32EBK
245 1 0 _aIntelligent Processing Practices and Tools for E-Commerce Data, Information, and Knowledge
_h[electronic resource] /
_cedited by Honghao Gao, Jung Yoon Kim, Walayat Hussain, Muddesar Iqbal, Yucong Duan.
250 _a1st ed. 2022.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2022.
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aEAI/Springer Innovations in Communication and Computing,
_x2522-8609
505 0 _aPart I. Intelligent Processing Practices and Tools for E-Commerce Data, Information, and Knowledge -- Chapter 1. Distant Supervision for E-commerce Query Segmentation via Attention Network -- Chapter 2. Volunteer Task Recommender in Humanitarian Supply Chain for Effective Disaster Management -- Chapter 3. Purpose Computation Oriented Modeling and Transformation on DIKW Architecture -- Chapter 4. Toward a Blockchain-based Rural Supply Chain Management Platform for Targeted Poverty Alleviation in China -- Chapter 5. Centralised Quality of Experience & Service Framework using PROMETHEE-II for cloud provider selection -- Chapter 6. Analysis of e-Consumer Behavior during the COVID-19 pandemic.
520 _aThis book discusses recent research and applications about intelligent processing practices and tools for e-commerce data, information and knowledge. The authors first explain how advances in intelligent processing of data, information and knowledge that has wildly been used in e-commerce applications. They then show how this brings new opportunities and challenges for processing e-commerce data, information and knowledge. The book, made up of contributions from both academia and industry, aims to present advances in artificial intelligence to collect, process, and mining Data, information and knowledge, such as new algorithms and techniques in the field, foundational theory and systems, as well as practical e-commerce applications. Some of the topics discussed include AI for e-commerce, such as machine learning, deep learning; personalized service recommendation to e-commerce; modeling, description, and verification for data, information and knowledge; and task scheduling and performance optimization for large-scale concurrency. Presents recent research and applications in intelligent processing practices and tools for e-commerce data, information and knowledge; Includes topics such as knowledge modeling and reasoning for e-commerce, AI based e-commerce data mining, and blockchain for safety and reliability; Provide a forum for experts to disseminate their recent advances and views on future perspectives in the field.
650 0 _aTelecommunication.
650 0 _aElectronic commerce.
650 0 _aComputational intelligence.
650 0 _aApplication software.
650 1 4 _aCommunications Engineering, Networks.
650 2 4 _ae-Commerce and e-Business.
650 2 4 _aComputational Intelligence.
650 2 4 _aComputer and Information Systems Applications.
653 0 _aArtificial intelligence -- Marketing applications
653 0 _aElectronic commerce
700 1 _aGao, Honghao.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aKim, Jung Yoon.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aHussain, Walayat.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aIqbal, Muddesar.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aDuan, Yucong.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
830 0 _aEAI/Springer Innovations in Communication and Computing,
_x2522-8609
856 4 0 _uhttps://doi.org/10.1007/978-3-030-78303-7
_3Springer eBooks
_zOnline access link to the resource
942 _2lcc
_cEBK