Statements (59)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:scoring_system
|
| gptkbp:benefits |
lower interest rates
faster loan processing |
| gptkbp:developed_by |
gptkb:Ant_Financial
|
| gptkbp:has_impact_on |
financial inclusion
consumer trust |
| gptkbp:has_part |
gptkb:scoring_system
credit report |
| https://www.w3.org/2000/01/rdf-schema#label |
Zhima Credit
|
| gptkbp:is_available_in |
businesses
individual users |
| gptkbp:is_compared_to |
traditional credit scoring systems
|
| gptkbp:is_considered_as |
alternative credit scoring method
|
| gptkbp:is_criticized_for |
privacy concerns
lack of transparency potential discrimination |
| gptkbp:is_evaluated_by |
user feedback
creditworthiness financial behavior reputation third-party assessments data analysis algorithms |
| gptkbp:is_influenced_by |
market trends
economic conditions social interactions transaction history user payment history |
| gptkbp:is_integrated_with |
e-commerce platforms
online payment systems |
| gptkbp:is_linked_to |
gptkb:social_credit_system
financial literacy initiatives |
| gptkbp:is_part_of |
fintech innovations
digital finance solutions Alipay ecosystem credit ecosystem |
| gptkbp:is_promoted_by |
gptkb:Ant_Group
gptkb:financial_institutions |
| gptkbp:is_promoted_through |
marketing campaigns
|
| gptkbp:is_regulated_by |
gptkb:Chinese_government
|
| gptkbp:is_subject_to |
data protection laws
user consent |
| gptkbp:is_supported_by |
big data analytics
machine learning technologies |
| gptkbp:is_used_for |
risk management
identity verification loan approvals credit assessments |
| gptkbp:is_used_in |
peer-to-peer lending
microloans travel bookings insurance applications renting services |
| gptkbp:launched_in |
gptkb:2015
|
| gptkbp:operates_in |
gptkb:China
|
| gptkbp:provides_information_on |
user behavior
|
| gptkbp:provides_score_range |
350 to 950
|
| gptkbp:bfsParent |
gptkb:Ant_Group
gptkb:Alipay |
| gptkbp:bfsLayer |
5
|