Downloads provided by UsageCounts
As the number of online stores as well as buyers are increasing rapidly, researchers are working on understanding and improving the performance of online stores by studying customer behavior, interests, engagement etc., along with the technical aspects of online stores. This however requires access to log files of real-world. With this objective in mind, we have prepared and made publicly available high-frequency data-set containing one month of log files from an actual and popular Polish online store. This data-set can provide insights to user behavior as well as performance of the online store.
log file data; e-commerce; online store; customer analytics
log file data; e-commerce; online store; customer analytics
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 36 | |
| downloads | 74 |

Views provided by UsageCounts
Downloads provided by UsageCounts