Matches in SemOpenAlex for { <https://semopenalex.org/work/W4311441462> ?p ?o ?g. }
Showing items 1 to 63 of
63
with 100 items per page.
- W4311441462 abstract "The global e-commerce market is growing at a rapid pace, but the percentage of repeat buyers is low. According to Tmall, the repurchase rate is only 6.1%, while research shows that a 5% increase in the repurchase rate can lead to a 25% to 95% increase in profit. To increase the repurchase rate, merchants need to predict potential repeat buyers and convert them into repurchasers. Therefore, it is necessary to predict repeat buyers. In this paper we build a prediction model of repeat purchasers using Tmall’s dataset. First, we build high-quality feature engineering for e-commerce scenarios by manual construction and algorithmic selection. We introduce the synthetic minority oversampling technique (SMOTE) algorithm to solve the data imbalance problem and improve prediction performance. Then we train classical classifiers including factorization machine and logistic regression, and ensemble learning classifiers including extreme gradient boosting, and light gradient boosting machine machines. Finally, we construct a two-layer fusion model based on the Stacking algorithm to further enhance prediction performance. The results show that through a series of innovations such as data imbalance processing, feature engineering, and fusion models, the model area under curve (AUC) value is improved by 0.01161. Our findings provide important implications for managing e-commerce platforms and the platform merchants." @default.
- W4311441462 created "2022-12-26" @default.
- W4311441462 creator A5034149489 @default.
- W4311441462 creator A5061832696 @default.
- W4311441462 creator A5065730977 @default.
- W4311441462 creator A5071466474 @default.
- W4311441462 creator A5073987380 @default.
- W4311441462 date "2022-12-14" @default.
- W4311441462 modified "2023-09-26" @default.
- W4311441462 title "A Feature Engineering and Ensemble Learning Based Approach for Repeated Buyers Prediction" @default.
- W4311441462 doi "https://doi.org/10.15837/ijccc.2022.6.4988" @default.
- W4311441462 hasPublicationYear "2022" @default.
- W4311441462 type Work @default.
- W4311441462 citedByCount "0" @default.
- W4311441462 crossrefType "journal-article" @default.
- W4311441462 hasAuthorship W4311441462A5034149489 @default.
- W4311441462 hasAuthorship W4311441462A5061832696 @default.
- W4311441462 hasAuthorship W4311441462A5065730977 @default.
- W4311441462 hasAuthorship W4311441462A5071466474 @default.
- W4311441462 hasAuthorship W4311441462A5073987380 @default.
- W4311441462 hasBestOaLocation W43114414621 @default.
- W4311441462 hasConcept C108583219 @default.
- W4311441462 hasConcept C119857082 @default.
- W4311441462 hasConcept C124101348 @default.
- W4311441462 hasConcept C13280743 @default.
- W4311441462 hasConcept C154945302 @default.
- W4311441462 hasConcept C169258074 @default.
- W4311441462 hasConcept C205649164 @default.
- W4311441462 hasConcept C2777526511 @default.
- W4311441462 hasConcept C2778827112 @default.
- W4311441462 hasConcept C41008148 @default.
- W4311441462 hasConcept C46686674 @default.
- W4311441462 hasConcept C70153297 @default.
- W4311441462 hasConceptScore W4311441462C108583219 @default.
- W4311441462 hasConceptScore W4311441462C119857082 @default.
- W4311441462 hasConceptScore W4311441462C124101348 @default.
- W4311441462 hasConceptScore W4311441462C13280743 @default.
- W4311441462 hasConceptScore W4311441462C154945302 @default.
- W4311441462 hasConceptScore W4311441462C169258074 @default.
- W4311441462 hasConceptScore W4311441462C205649164 @default.
- W4311441462 hasConceptScore W4311441462C2777526511 @default.
- W4311441462 hasConceptScore W4311441462C2778827112 @default.
- W4311441462 hasConceptScore W4311441462C41008148 @default.
- W4311441462 hasConceptScore W4311441462C46686674 @default.
- W4311441462 hasConceptScore W4311441462C70153297 @default.
- W4311441462 hasIssue "6" @default.
- W4311441462 hasLocation W43114414621 @default.
- W4311441462 hasOpenAccess W4311441462 @default.
- W4311441462 hasPrimaryLocation W43114414621 @default.
- W4311441462 hasRelatedWork W1968832299 @default.
- W4311441462 hasRelatedWork W1979006554 @default.
- W4311441462 hasRelatedWork W2911455822 @default.
- W4311441462 hasRelatedWork W2990429761 @default.
- W4311441462 hasRelatedWork W3162861012 @default.
- W4311441462 hasRelatedWork W4236518021 @default.
- W4311441462 hasRelatedWork W4245057874 @default.
- W4311441462 hasRelatedWork W4312908582 @default.
- W4311441462 hasRelatedWork W4313488044 @default.
- W4311441462 hasRelatedWork W4379536929 @default.
- W4311441462 hasVolume "17" @default.
- W4311441462 isParatext "false" @default.
- W4311441462 isRetracted "false" @default.
- W4311441462 workType "article" @default.