WaPUPS: Web access pattern extraction under user-defined pattern scoring:

摘要: Extracting patterns from web usage data helps to facilitate better personalization and structure readjustment. The classical frequency-based sequence mining techniques consider only the binary occurrences of pages in sessions that result extraction many are not informative for users. To handle this problem, utility-based technique has emerged, which assigns non-binary values, called utilities, calculates pattern utilities accordingly. However, utility a cannot always be determined distinct page utilities. For instance, number users traverse an extracted or some demographic about those may affect value patterns. such information calculated directly In paper, we present new approach based on user-defined scoring mechanism so as extract log data. proposed can limit size the...