Enhancing Community E-Commerce Repurchase Prediction Through Information Entropy Analysis Article Swipe
In this study, we delve into the prediction and recommendation algorithm for user repurchase behavior within the community e-commerce landscape, leveraging the framework of information entropy. By analyzing consumer behavior data from a product-centered perspective, we observe that the majority of consumers engage in approximately 0-8 information search clicks before making a purchase, primarily focusing on product details, with an average of about 4 browsing interactions. Subsequently, a minimal portion of consumers exhibit 0-5 instances of preference behavior after browsing activities. Similarly, consumers who add items to their shopping carts typically engage in this behavior from 0 to 4 times, showcasing limited participation. Leveraging attribute probability, information entropy serves as a driving force for predicting community e-commerce users' repurchase behavior, contrasting with traditional outlier detection methods and underscoring the advantages of information entropy.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.4018/ijec.349897
- https://www.igi-global.com/ViewTitle.aspx?TitleId=349897&isxn=9798369324677
- OA Status
- hybrid
- Cited By
- 1
- References
- 21
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4401123434
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4401123434Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.4018/ijec.349897Digital Object Identifier
- Title
-
Enhancing Community E-Commerce Repurchase Prediction Through Information Entropy AnalysisWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-07-30Full publication date if available
- Authors
-
Juan Du, Wenkuan ChenList of authors in order
- Landing page
-
https://doi.org/10.4018/ijec.349897Publisher landing page
- PDF URL
-
https://www.igi-global.com/ViewTitle.aspx?TitleId=349897&isxn=9798369324677Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://www.igi-global.com/ViewTitle.aspx?TitleId=349897&isxn=9798369324677Direct OA link when available
- Concepts
-
Entropy (arrow of time), Computer science, Outlier, Perspective (graphical), E-commerce, Product (mathematics), Data science, World Wide Web, Artificial intelligence, Mathematics, Physics, Quantum mechanics, GeometryTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1Per-year citation counts (last 5 years)
- References (count)
-
21Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4401123434 |
|---|---|
| doi | https://doi.org/10.4018/ijec.349897 |
| ids.doi | https://doi.org/10.4018/ijec.349897 |
| ids.openalex | https://openalex.org/W4401123434 |
| fwci | 2.09598175 |
| type | article |
| title | Enhancing Community E-Commerce Repurchase Prediction Through Information Entropy Analysis |
| biblio.issue | 1 |
| biblio.volume | 20 |
| biblio.last_page | 18 |
| biblio.first_page | 1 |
| topics[0].id | https://openalex.org/T10609 |
| topics[0].field.id | https://openalex.org/fields/33 |
| topics[0].field.display_name | Social Sciences |
| topics[0].score | 0.9905999898910522 |
| topics[0].domain.id | https://openalex.org/domains/2 |
| topics[0].domain.display_name | Social Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/3312 |
| topics[0].subfield.display_name | Sociology and Political Science |
| topics[0].display_name | Digital Marketing and Social Media |
| topics[1].id | https://openalex.org/T11161 |
| topics[1].field.id | https://openalex.org/fields/14 |
| topics[1].field.display_name | Business, Management and Accounting |
| topics[1].score | 0.9884999990463257 |
| topics[1].domain.id | https://openalex.org/domains/2 |
| topics[1].domain.display_name | Social Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1406 |
| topics[1].subfield.display_name | Marketing |
| topics[1].display_name | Consumer Market Behavior and Pricing |
| topics[2].id | https://openalex.org/T12659 |
| topics[2].field.id | https://openalex.org/fields/18 |
| topics[2].field.display_name | Decision Sciences |
| topics[2].score | 0.9797000288963318 |
| topics[2].domain.id | https://openalex.org/domains/2 |
| topics[2].domain.display_name | Social Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1803 |
| topics[2].subfield.display_name | Management Science and Operations Research |
| topics[2].display_name | Innovation Diffusion and Forecasting |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C106301342 |
| concepts[0].level | 2 |
| concepts[0].score | 0.6301127076148987 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q4117933 |
| concepts[0].display_name | Entropy (arrow of time) |
| concepts[1].id | https://openalex.org/C41008148 |
| concepts[1].level | 0 |
| concepts[1].score | 0.6286718845367432 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[1].display_name | Computer science |
| concepts[2].id | https://openalex.org/C79337645 |
| concepts[2].level | 2 |
| concepts[2].score | 0.48223957419395447 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q779824 |
| concepts[2].display_name | Outlier |
| concepts[3].id | https://openalex.org/C12713177 |
| concepts[3].level | 2 |
| concepts[3].score | 0.4214783310890198 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q1900281 |
| concepts[3].display_name | Perspective (graphical) |
| concepts[4].id | https://openalex.org/C78597825 |
| concepts[4].level | 2 |
| concepts[4].score | 0.41844114661216736 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q484847 |
| concepts[4].display_name | E-commerce |
| concepts[5].id | https://openalex.org/C90673727 |
| concepts[5].level | 2 |
| concepts[5].score | 0.416316419839859 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q901718 |
| concepts[5].display_name | Product (mathematics) |
| concepts[6].id | https://openalex.org/C2522767166 |
| concepts[6].level | 1 |
| concepts[6].score | 0.3828728497028351 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q2374463 |
| concepts[6].display_name | Data science |
| concepts[7].id | https://openalex.org/C136764020 |
| concepts[7].level | 1 |
| concepts[7].score | 0.2324368953704834 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q466 |
| concepts[7].display_name | World Wide Web |
| concepts[8].id | https://openalex.org/C154945302 |
| concepts[8].level | 1 |
| concepts[8].score | 0.18395423889160156 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[8].display_name | Artificial intelligence |
| concepts[9].id | https://openalex.org/C33923547 |
| concepts[9].level | 0 |
| concepts[9].score | 0.09395778179168701 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[9].display_name | Mathematics |
| concepts[10].id | https://openalex.org/C121332964 |
| concepts[10].level | 0 |
| concepts[10].score | 0.0 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q413 |
| concepts[10].display_name | Physics |
| concepts[11].id | https://openalex.org/C62520636 |
| concepts[11].level | 1 |
| concepts[11].score | 0.0 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q944 |
| concepts[11].display_name | Quantum mechanics |
| concepts[12].id | https://openalex.org/C2524010 |
| concepts[12].level | 1 |
| concepts[12].score | 0.0 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q8087 |
| concepts[12].display_name | Geometry |
| keywords[0].id | https://openalex.org/keywords/entropy |
| keywords[0].score | 0.6301127076148987 |
| keywords[0].display_name | Entropy (arrow of time) |
| keywords[1].id | https://openalex.org/keywords/computer-science |
| keywords[1].score | 0.6286718845367432 |
| keywords[1].display_name | Computer science |
| keywords[2].id | https://openalex.org/keywords/outlier |
| keywords[2].score | 0.48223957419395447 |
| keywords[2].display_name | Outlier |
| keywords[3].id | https://openalex.org/keywords/perspective |
| keywords[3].score | 0.4214783310890198 |
| keywords[3].display_name | Perspective (graphical) |
| keywords[4].id | https://openalex.org/keywords/e-commerce |
| keywords[4].score | 0.41844114661216736 |
| keywords[4].display_name | E-commerce |
| keywords[5].id | https://openalex.org/keywords/product |
| keywords[5].score | 0.416316419839859 |
| keywords[5].display_name | Product (mathematics) |
| keywords[6].id | https://openalex.org/keywords/data-science |
| keywords[6].score | 0.3828728497028351 |
| keywords[6].display_name | Data science |
| keywords[7].id | https://openalex.org/keywords/world-wide-web |
| keywords[7].score | 0.2324368953704834 |
| keywords[7].display_name | World Wide Web |
| keywords[8].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[8].score | 0.18395423889160156 |
| keywords[8].display_name | Artificial intelligence |
| keywords[9].id | https://openalex.org/keywords/mathematics |
| keywords[9].score | 0.09395778179168701 |
| keywords[9].display_name | Mathematics |
| language | en |
| locations[0].id | doi:10.4018/ijec.349897 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S129960573 |
| locations[0].source.issn | 1548-3673, 1548-3681 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | 1548-3673 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | International Journal of e-Collaboration |
| locations[0].source.host_organization | https://openalex.org/P4310320424 |
| locations[0].source.host_organization_name | IGI Global |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310320424 |
| locations[0].source.host_organization_lineage_names | IGI Global |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://www.igi-global.com/ViewTitle.aspx?TitleId=349897&isxn=9798369324677 |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | International Journal of e-Collaboration |
| locations[0].landing_page_url | https://doi.org/10.4018/ijec.349897 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5070679528 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-6428-7763 |
| authorships[0].author.display_name | Juan Du |
| authorships[0].countries | KR |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I3130430780 |
| authorships[0].affiliations[0].raw_affiliation_string | Seoul School of Integrated Sciences and Technologies, South Korea |
| authorships[0].institutions[0].id | https://openalex.org/I3130430780 |
| authorships[0].institutions[0].ror | https://ror.org/02xj62754 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I3130430780 |
| authorships[0].institutions[0].country_code | KR |
| authorships[0].institutions[0].display_name | Seoul School of Integrated Sciences and Technologies |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Juan Du |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Seoul School of Integrated Sciences and Technologies, South Korea |
| authorships[1].author.id | https://openalex.org/A5000889622 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-6825-3640 |
| authorships[1].author.display_name | Wenkuan Chen |
| authorships[1].countries | CN |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I37574244 |
| authorships[1].affiliations[0].raw_affiliation_string | College of Management, Sichuan Agricultural University, China |
| authorships[1].institutions[0].id | https://openalex.org/I37574244 |
| authorships[1].institutions[0].ror | https://ror.org/0388c3403 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I37574244 |
| authorships[1].institutions[0].country_code | CN |
| authorships[1].institutions[0].display_name | Sichuan Agricultural University |
| authorships[1].author_position | last |
| authorships[1].raw_author_name | Wenkuan Chen |
| authorships[1].is_corresponding | True |
| authorships[1].raw_affiliation_strings | College of Management, Sichuan Agricultural University, China |
| has_content.pdf | True |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.igi-global.com/ViewTitle.aspx?TitleId=349897&isxn=9798369324677 |
| open_access.oa_status | hybrid |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Enhancing Community E-Commerce Repurchase Prediction Through Information Entropy Analysis |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10609 |
| primary_topic.field.id | https://openalex.org/fields/33 |
| primary_topic.field.display_name | Social Sciences |
| primary_topic.score | 0.9905999898910522 |
| primary_topic.domain.id | https://openalex.org/domains/2 |
| primary_topic.domain.display_name | Social Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/3312 |
| primary_topic.subfield.display_name | Sociology and Political Science |
| primary_topic.display_name | Digital Marketing and Social Media |
| related_works | https://openalex.org/W3006513224, https://openalex.org/W2149537132, https://openalex.org/W2018871932, https://openalex.org/W2046456988, https://openalex.org/W641279757, https://openalex.org/W2357409937, https://openalex.org/W370975646, https://openalex.org/W2510582230, https://openalex.org/W1670566515, https://openalex.org/W1976643259 |
| cited_by_count | 1 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 1 |
| locations_count | 1 |
| best_oa_location.id | doi:10.4018/ijec.349897 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S129960573 |
| best_oa_location.source.issn | 1548-3673, 1548-3681 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | 1548-3673 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | International Journal of e-Collaboration |
| best_oa_location.source.host_organization | https://openalex.org/P4310320424 |
| best_oa_location.source.host_organization_name | IGI Global |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310320424 |
| best_oa_location.source.host_organization_lineage_names | IGI Global |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://www.igi-global.com/ViewTitle.aspx?TitleId=349897&isxn=9798369324677 |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | International Journal of e-Collaboration |
| best_oa_location.landing_page_url | https://doi.org/10.4018/ijec.349897 |
| primary_location.id | doi:10.4018/ijec.349897 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S129960573 |
| primary_location.source.issn | 1548-3673, 1548-3681 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | 1548-3673 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | International Journal of e-Collaboration |
| primary_location.source.host_organization | https://openalex.org/P4310320424 |
| primary_location.source.host_organization_name | IGI Global |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310320424 |
| primary_location.source.host_organization_lineage_names | IGI Global |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://www.igi-global.com/ViewTitle.aspx?TitleId=349897&isxn=9798369324677 |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | International Journal of e-Collaboration |
| primary_location.landing_page_url | https://doi.org/10.4018/ijec.349897 |
| publication_date | 2024-07-30 |
| publication_year | 2024 |
| referenced_works | https://openalex.org/W4360922124, https://openalex.org/W4391129242, https://openalex.org/W4388583058, https://openalex.org/W4384940750, https://openalex.org/W4281762669, https://openalex.org/W4387330945, https://openalex.org/W3199086547, https://openalex.org/W4309236448, https://openalex.org/W4321225126, https://openalex.org/W4385494581, https://openalex.org/W4304698286, https://openalex.org/W4390707421, https://openalex.org/W4378189319, https://openalex.org/W4391608844, https://openalex.org/W4367177255, https://openalex.org/W4391898267, https://openalex.org/W4388723639, https://openalex.org/W3035178789, https://openalex.org/W3118981429, https://openalex.org/W4389299837, https://openalex.org/W4391664217 |
| referenced_works_count | 21 |
| abstract_inverted_index.0 | 96 |
| abstract_inverted_index.4 | 63, 98 |
| abstract_inverted_index.a | 32, 51, 67, 110 |
| abstract_inverted_index.By | 26 |
| abstract_inverted_index.In | 0 |
| abstract_inverted_index.an | 59 |
| abstract_inverted_index.as | 109 |
| abstract_inverted_index.in | 43, 92 |
| abstract_inverted_index.of | 23, 40, 61, 70, 75, 130 |
| abstract_inverted_index.on | 55 |
| abstract_inverted_index.to | 86, 97 |
| abstract_inverted_index.we | 3, 35 |
| abstract_inverted_index.0-5 | 73 |
| abstract_inverted_index.0-8 | 45 |
| abstract_inverted_index.add | 84 |
| abstract_inverted_index.and | 8, 126 |
| abstract_inverted_index.for | 11, 113 |
| abstract_inverted_index.the | 6, 16, 21, 38, 128 |
| abstract_inverted_index.who | 83 |
| abstract_inverted_index.data | 30 |
| abstract_inverted_index.from | 31, 95 |
| abstract_inverted_index.into | 5 |
| abstract_inverted_index.that | 37 |
| abstract_inverted_index.this | 1, 93 |
| abstract_inverted_index.user | 12 |
| abstract_inverted_index.with | 58, 121 |
| abstract_inverted_index.about | 62 |
| abstract_inverted_index.after | 78 |
| abstract_inverted_index.carts | 89 |
| abstract_inverted_index.delve | 4 |
| abstract_inverted_index.force | 112 |
| abstract_inverted_index.items | 85 |
| abstract_inverted_index.their | 87 |
| abstract_inverted_index.before | 49 |
| abstract_inverted_index.clicks | 48 |
| abstract_inverted_index.engage | 42, 91 |
| abstract_inverted_index.making | 50 |
| abstract_inverted_index.search | 47 |
| abstract_inverted_index.serves | 108 |
| abstract_inverted_index.study, | 2 |
| abstract_inverted_index.times, | 99 |
| abstract_inverted_index.users' | 117 |
| abstract_inverted_index.within | 15 |
| abstract_inverted_index.average | 60 |
| abstract_inverted_index.driving | 111 |
| abstract_inverted_index.entropy | 107 |
| abstract_inverted_index.exhibit | 72 |
| abstract_inverted_index.limited | 101 |
| abstract_inverted_index.methods | 125 |
| abstract_inverted_index.minimal | 68 |
| abstract_inverted_index.observe | 36 |
| abstract_inverted_index.outlier | 123 |
| abstract_inverted_index.portion | 69 |
| abstract_inverted_index.product | 56 |
| abstract_inverted_index.behavior | 14, 29, 77, 94 |
| abstract_inverted_index.browsing | 64, 79 |
| abstract_inverted_index.consumer | 28 |
| abstract_inverted_index.details, | 57 |
| abstract_inverted_index.entropy. | 25, 132 |
| abstract_inverted_index.focusing | 54 |
| abstract_inverted_index.majority | 39 |
| abstract_inverted_index.shopping | 88 |
| abstract_inverted_index.algorithm | 10 |
| abstract_inverted_index.analyzing | 27 |
| abstract_inverted_index.attribute | 104 |
| abstract_inverted_index.behavior, | 119 |
| abstract_inverted_index.community | 17, 115 |
| abstract_inverted_index.consumers | 41, 71, 82 |
| abstract_inverted_index.detection | 124 |
| abstract_inverted_index.framework | 22 |
| abstract_inverted_index.instances | 74 |
| abstract_inverted_index.primarily | 53 |
| abstract_inverted_index.purchase, | 52 |
| abstract_inverted_index.typically | 90 |
| abstract_inverted_index.Leveraging | 103 |
| abstract_inverted_index.Similarly, | 81 |
| abstract_inverted_index.advantages | 129 |
| abstract_inverted_index.e-commerce | 18, 116 |
| abstract_inverted_index.landscape, | 19 |
| abstract_inverted_index.leveraging | 20 |
| abstract_inverted_index.predicting | 114 |
| abstract_inverted_index.prediction | 7 |
| abstract_inverted_index.preference | 76 |
| abstract_inverted_index.repurchase | 13, 118 |
| abstract_inverted_index.showcasing | 100 |
| abstract_inverted_index.activities. | 80 |
| abstract_inverted_index.contrasting | 120 |
| abstract_inverted_index.information | 24, 46, 106, 131 |
| abstract_inverted_index.traditional | 122 |
| abstract_inverted_index.perspective, | 34 |
| abstract_inverted_index.probability, | 105 |
| abstract_inverted_index.underscoring | 127 |
| abstract_inverted_index.Subsequently, | 66 |
| abstract_inverted_index.approximately | 44 |
| abstract_inverted_index.interactions. | 65 |
| abstract_inverted_index.participation. | 102 |
| abstract_inverted_index.recommendation | 9 |
| abstract_inverted_index.product-centered | 33 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 91 |
| corresponding_author_ids | https://openalex.org/A5000889622 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 2 |
| corresponding_institution_ids | https://openalex.org/I37574244 |
| citation_normalized_percentile.value | 0.83801054 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |