CLDec 4, 2024

Typologie des comportements utilisateurs : {é}tude exploratoire des sessions de recherche complexe sur le Web

arXiv:2412.03309v1h-index: 4CORIA
Originality Synthesis-oriented
AI Analysis

This work addresses the need for better understanding user search patterns in information retrieval, but it is incremental as it builds on existing IR variables and exploratory methods.

The study tackled the problem of classifying user behavior during complex web search sessions by proposing a typology based on IR variables and topic analysis, resulting in a 5-class typology derived from experimental data with 70 users.

In this study, we propose an exploratory approach aiming at a typology of user behaviour during a Web search session. We describe a typology based on generic IR variables (e.g. number of queries), but also on the study of topic (propositions with distinct semantic content defined from the search statement). To this end, we gathered experimental data enabling us to study variations across users (N=70) for the same task. We performed a multidimensional analysis and propose a 5 classes typology based on the individual behaviours during the processing of a complex search task.

Foundations

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