Algorithms of a Self-adaptation Mechanism for the E-commerce Interface

The dataset contains information used during the validation and experimental use of the proposed UI auto-adaptation algorithms in e-commerce. The dataset consists of 3 parts: 1. learning data, comprising e-commerce customer beharioural data, as a basis for user clustering ([Learning_Dataset] catalogue) 2. clustering results, including quality indicators, visualisations and resource consumption ([Algorithm1] catalogue) 3. the data underlying the calculation of the CR, AOV (files \"sale-orders-ecrXzzz.csv\", where X stands for the cluster number and zzz stands for the interface variant - DEDicated or DEFault) and PCR (files \"scoring-reports-ecrXzzz.csv|) located in the [Algorithm2] directory.