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Table 2 Features summary. Summary of all the 54 features defined at customer level

From: Inferring psychological traits from spending categories and dynamic consumption patterns

Type

Feature

Description

Overall

\(n_{\mathrm{tot}}\)

Number of transactions (log)

Overall

\(a_{\mathrm{tot}}\)

Total amount of transactions (log)

Overall

\(a_{\mathrm{avg}}\)

Average amount per transaction (log)

Overall

cv

Relative spending variability

Temporal

\(\sigma _{M}\)

Spending amount variability (monthly)

Temporal

\(\sigma _{P}\)

Spending amount variability (10-days interval)

Temporal

\(\sigma _{D}\)

Spending amount variability (daily)

Temporal

\(\mathit{persistence}_{M}\)

Persistence of spending amount (month)

Temporal

\(\mathit{persistence}_{W}\)

Persistence of spending amount (week)

Temporal

\(B_{\mathrm{tot}}\)

Transactional burstiness

Temporal

\(B_{\mathrm{daily}}\)

Daily burstiness

Category related

\(N_{c}\)

Number of unique categories

Category related

\(D_{\mathrm{cat}}\)

Diversity of purchased categories

Category related

\(C_{\mathrm{persistence}}\)

Persistence of purchased categories

Category related

\(C_{\mathrm{turnover}}^{3}\)

Top 3 category turnover

Category related

\(C_{\mathrm{turnover}}^{5}\)

Top 5 category turnover

Category related

\(C_{\mathrm{turnover}}^{\mathrm{all}}\)

Category turnover

Category profile

\(C_{k}\)

Fraction of expenses (number) in a category k (Table 1)

Socio-demographic

YOB

Year of birth of the customer

Socio-demographic

salary

The salary range of the customer (10K intervals)