DOBBS

DOBBS（数字企业研究学院在线行为研究）是一个旨在全面研究在线用户浏览行为的数据集。该数据集通过用户安装的浏览器插件，非侵入性地记录用户的浏览行为，如网页停留时间、访问频率等，确保用户隐私。数据集内容丰富，包括用户在不同网站的活动时间、浏览模式等。创建过程中，DOBBS严格遵守隐私保护原则，不收集任何个人身份信息。该数据集主要用于研究用户在线行为，优化网站设计、浏览器功能及搜索引擎算法，解决传统数据集无法全面捕捉用户行为的问题。DOBBS (Digital Enterprise Research Institute Online Behavior Study) is a comprehensive dataset dedicated to researching online users' browsing behaviors. This dataset non-invasively collects users' browsing metrics including webpage dwell time and visit frequency via browser plugins installed by users, while rigorously safeguarding user privacy. The dataset encompasses rich content, such as users' activity durations across different websites and their browsing patterns. During its development, DOBBS strictly complies with privacy protection principles and does not collect any personally identifiable information (PII). This dataset is primarily used for researching user online behaviors, optimizing website designs, browser functions and search engine algorithms, addressing the limitation that traditional datasets fail to comprehensively capture users' full browsing behaviors.

搜集汇总

背景与挑战

背景概述

DOBBS是一个专注于在线用户浏览行为的数据集，通过浏览器插件非侵入性记录网页停留时间、访问频率等信息，确保用户隐私不收集个人身份信息。它包含用户在不同网站的活动时间和浏览模式，主要用于研究用户行为以优化网站设计、浏览器功能和搜索引擎算法。