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Research on e-commerce intelligent service based on Data Mining

Jianxi Zhang, Changfeng Zhang, Huaizhi Yu, J. Heled, A. Yuan
2018 MATEC Web of Conferences  
Then the technical support system of E-Commerce data mining based on Hadoop platform was suggested to provide technical solution for implementation of smart service applications.  ...  With the rapid development of electronic commerce in China, a large amount of information data will be generated at every moment.  ...  E-commerce intelligent service model based on Data Mining Considering the current development of e-commerce, the core business mode of e-commerce intelligence service basically includes four aspects.(1  ... 
doi:10.1051/matecconf/201817303012 fatcat:ng2fp6dllba65ocbosxxz67zem

E-Commerce Recommendation Technology Based on Collaborative Filtering Algorithm and Mobile Cloud Computing

Feng Lou, Xin Ning
2022 Wireless Communications and Mobile Computing  
Personalized recommendation technology, as one of the core technologies of an E-commerce platform, has attracted a lot of attention with the rise of E-commerce in the Internet industry.  ...  However, there is currently very little in-depth research on personalized recommendation technology in the field of o2o E-commerce, and most existing recommendation algorithms need to be improved in terms  ...  In the context of E-commerce, an E-commerce personalized recommendation system is an application system that provides personalized products and services to various users.  ... 
doi:10.1155/2022/7321021 fatcat:bzj4op36lrakdh5ktfkzc4qhym

Construction of Tourism E-Commerce Platform Based on Artificial Intelligence Algorithm

Xiaoyin Yin, Jiangnan He, Rahim Khan
2022 Computational Intelligence and Neuroscience  
To solve the current situation of the backward development of tourism e-commerce, this article studies the construction of a tourism e-commerce platform based on an artificial intelligence algorithm.  ...  It promotes the development of tourism e-commerce industry. It saves costs and improves efficiency for travel service providers.  ...  "Tourism Information and E-Commerce Report" of a local e-commerce research company A.  ... 
doi:10.1155/2022/5558011 pmid:35720893 pmcid:PMC9205698 fatcat:oj3347b5sbhqte7u2mdwk4gcx4

Multi-Agent Based Recommendation System in E-commerce

Na Chi
2011 Contemporary Logistics  
Firstly, this paper establishes an e-commerce personalized recommendation system model based on multi-Agent technology; then, introduces the principle and algorithm of the key agent in the model; lastly  ...  Based on the status of e-commerce recommendation system analysis, this paper puts an Agent-based recommendation system.  ...  With the recommendation of the above four techniques, the paper proposes a multi-Agent-based personalized recommendation system for e-commerce.  ... 
doi:10.5503/ fatcat:behsdk6v2vchbf5sb3niaogahi

Algorithm in E-commerce Recommendation

Zezhou Fan, Dan Chang, Jinhong Cui
2018 2018 5th International Conference on Industrial Economics System and Industrial Security Engineering (IEIS)  
E-commerce service presents the intelligent development tendency in order to provide accurate and personalized service.  ...  efficiency and service level for e-commerce[1].  ...  Analysis of precision recommendation for e-commerce service With personalized demand in e-commerce consumption becoming more and more prominent, accurate description for e-commerce service seem to very  ... 
doi:10.1109/ieis.2018.8598110 fatcat:rl7vhtj4rbgzra6ruwixou2guu

E-Commerce Consumer Behavior Information Big Data Mining

Liu Hongyan, Liu Zhenyu
2016 International Journal of Database Theory and Application  
At the same time, e-commerce as the representative of the social network of constantly new changes.  ...  A large number of enterprises through the establishment of collaborative filtering recommendation systems predict consumer model, personalized recommendations and services to address the information overload  ...  E-Commerce Consumer Behavior of Large Data Algorithm According to this model, we can predict the personal business information intention, but for this hypothesis testing, BP algorithm for MapReduce, the  ... 
doi:10.14257/ijdta.2016.9.7.12 fatcat:cjvtjdejwjcc5c336ub5cf7epa

E-Commerce Applications Ranking

2010 Informatică economică  
The paper presents the cycle of development of e-Commerce applications. The e-commerce applications are analyzed being considered to be a subject for complex evaluations.  ...  A set of criteria and factors are presented being considered relevant for e-commerce applications used in complex assessments.  ...  The algorithm for ranking of e-commerce websites involves a problem Pr for which the alternatives (ecommerce websites) A 1 , A 2 , ..., A n are taken into analysis.  ... 
doaj:8bae7c4d68884a0cb0517eeb523abf5e fatcat:rou3f65smff43jfxe4r3x3xdti

Customer Satisfaction of Recommender System: Examining Accuracy and Diversity in Several Types of Recommendation Approaches

Jae-Kyeong Kim, Il-Young Choi, Qinglong Li
2021 Sustainability  
Global e-commerce companies offer recommender systems to gain a sustainable competitive advantage.  ...  As customer data accumulate, the demand for recommender systems that provide customized services to customers is growing.  ...  Therefore, e-commerce is focusing on a more advanced personalization recommender system for sustainable development [40] .  ... 
doi:10.3390/su13116165 fatcat:plyrizeec5hndcjnkq7l52gr6q

Model of Multi-Agent Based on Personalized Transactions in Electronic Commerce

Chen Xiao-fang, Wang Ying
2006 2006 International Conference on Management Science and Engineering  
This paper analyzes electronic commerce trading patterns evolution from a perspective of Agent technology and electronic commerce applications.  ...  According to characteristic of customer and business, it raises Model of Multi-Agent based on personalized transactions in Electronic Commerce which can realize personalized trusteeship without participation  ...  (B2C) consumer-to-consumer (C2C) business-to-government (B2G) no-business e-commerce intro-business e-commerce.  ... 
doi:10.1109/icmse.2006.313852 fatcat:qubqacpmgrfxdonp4ctyjb76hy

e-Commerce Personalized Recommendation Based on Machine Learning Technology

Liping Liu, Chia-Huei Wu
2022 Mobile Information Systems  
This paper studies the personalized recommendation technology of e-commerce: deeply analyzes the related technologies and algorithms of the e-commerce recommendation system and proposes the latest architecture  ...  of a model based on the factors that influence personalized e-commerce information recommendations in the retail sector.  ...  Acknowledgments This work was supported by the 2019 Philosophy and Social Science Project of Hubei Provincial Department of Education (research on the influence of personalized recommendation on consumers  ... 
doi:10.1155/2022/1761579 fatcat:j2xrhoorcnbsdov64zaximngze

Personalized web search on e-commerce using ontology based association mining

B. Sekhar Babu, P. Lakshmi Prasanna, P. Vidyullatha
2017 International Journal of Engineering & Technology  
Web data mining technology can be applied by the E-commerce organizations to offer personalized E-commerce solutions and better meet the desires of customers.  ...  E-commerce is a kind of business or saleable transaction that comprises the transfer of statistics across the web or internet.  ...  Personalization always plays a key role in success of E-commerce trade because personalization attracts the customers towards the E-Commerce sites and improves the buying patterns.  ... 
doi:10.14419/ijet.v7i1.1.9487 fatcat:qrljdpzp2zb6pnvoircpskl644

A Novel E-Commerce Negotiation Optimization Model Based on Improved Genetic Algorithm

Yang Liu
2012 Advanced Engineering Forum  
Electronic commerce has rapidly become a major player in the business market .This paper proposes a new electronic commerce negotiation optimization model based on improved genetic algorithm which depends  ...  The proposed model illustrates the relationship between the business components required to support the e-commerce processes with the value creation factor and the controlling complexity.  ...  E-commerce negotiation is an important issue in e-commerce research is a vital link in e-commerce activities [4] .  ... 
doi:10.4028/ fatcat:5gusifimajbbfaypdev32qezrq

Information Discovery in E-commerce

Zhaochun Ren, Xiangnan He, Dawei Yin, Maarten de Rijke
2018 The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval - SIGIR '18  
Information retrieval has a natural role to play in e-commerce, especially in connecting people to goods and services.  ...  E-commerce (electronic commerce or EC) is the buying and selling of goods and services, or the transmitting of funds or data online.  ...  in e-commerce • Candidate product retrieval refers to a process that retrieves personalized candidates out of billions of items, which provides relevant products for e-commerce search and e-commerce recommendation  ... 
doi:10.1145/3209978.3210185 dblp:conf/sigir/Ren0YR18 fatcat:autx3qeo65ditgjaan726vplie

Analysis of Customization Strategy for E-Commerce Operation Based on Big Data

Su Chen, Hongju Cheng
2021 Wireless Communications and Mobile Computing  
C2B Electronic Commerce (e-commerce) mode of Supply Chain Pricing Strategy for in-depth discussion.  ...  supply chain composed of a supplier and C2B e-commerce enterprises with horizontal price competition, and examines the cross-price.  ...  The mature CBR technology provides a complete set of solutions for the realization of customized services in e-commerce environment.  ... 
doi:10.1155/2021/6626480 fatcat:pibat5bstnf7pmwee54r7ffjnq

Research on E-Commerce Platform-Based Personalized Recommendation Algorithm

Zhijun Zhang, Gongwen Xu, Pengfei Zhang
2016 Applied Computational Intelligence and Soft Computing  
Aiming at data sparsity and timeliness in traditional E-commerce collaborative filtering recommendation algorithms, when constructing user-item rating matrix, this paper utilizes the feature that commodities  ...  in E-commerce system belong to different levels to fill in nonrated items by calculating RF/IRF of the commodity's corresponding level.  ...  Related Work With the continuous improvements of E-commerce platform, E-commerce personalized recommendation system has gradually formed into a perfect system.  ... 
doi:10.1155/2016/5160460 fatcat:izvn74ogfja3xmau37sbrsqaem
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