RCDL 2007, Pereslavl-Zalessky, Oct 2007 Converting Desktop into a Personal Activity Dataset Sergey Chernov, Enrico Minack, and Pavel Serdyukov L3S Research Center, Hannover, Germany University of Twente, The Netherlands

RCDL 2007, Pereslavl-Zalessky, Oct 2007 Motivation - Over documents on a single PC, including s, text files and photos - Increasing need in PIM evaluation - Desktop usage data analysis

RCDL 2007, Pereslavl-Zalessky, Oct 2007 Potential Applications for Activity Data Implicit links between documents can be applied in following: Ranking opportunities – link-based ranking (PageRank, HITS, etc.) Recommendation features – suggestions of related documents Interface improvement – virtual folders, navigational dialogs, task detection User profiling – popular documents are used for profile creation

RCDL 2007, Pereslavl-Zalessky, Oct 2007 Logger

RCDL 2007, Pereslavl-Zalessky, Oct 2007 Logger Framework

RCDL 2007, Pereslavl-Zalessky, Oct 2007 Privacy Concerns for Main Logger and Firefox Plugin

RCDL 2007, Pereslavl-Zalessky, Oct 2007 L3S Desktop Data Collection Privacy Guarantees - I will not redistribute the data you provided me to people outside L3S. Anybody from L3S whom I give access to the data will be required to sign this privacy statement. - The data you provided me will be automatically processed. I will not look at it manually (e.g. reading the s from a specific person). During the experiment, if I want to look at one specific data item or a group of files/data items, I will ask permission to the owner of the data to look at it. In this context, if I discover possibly sensitive data items, I will remove them from the collection. - Permissions of all files and directories will be set such that only the l3s-experiments-group and the super-user has access to these files, and that all those will be required to sign this privacy statement.

RCDL 2007, Pereslavl-Zalessky, Oct 2007 Logged Information

RCDL 2007, Pereslavl-Zalessky, Oct 2007 Timeline and Permanent Logged Information

RCDL 2007, Pereslavl-Zalessky, Oct 2007 Generic and resource-specific data collected

RCDL 2007, Pereslavl-Zalessky, Oct data collected

RCDL 2007, Pereslavl-Zalessky, Oct 2007 Types of notifications

RCDL 2007, Pereslavl-Zalessky, Oct 2007 Collected Documents

RCDL 2007, Pereslavl-Zalessky, Oct 2007 Resource distribution over the users

RCDL 2007, Pereslavl-Zalessky, Oct 2007 More statistics of collected data Total desktop items: 48,068 (including pictures and web-pages) Total size: 8.1GB User queries: 88 (e.g. “information retrieval author:smith”) Relevance judgments for top-5 results of 3 ranking algorithms

RCDL 2007, Pereslavl-Zalessky, Oct 2007 Conclusions

RCDL 2007, Pereslavl-Zalessky, Oct 2007 Conclusions -Methodology for desktop data collection was proposed -Logging application is implemented -First dataset has been created

RCDL 2007, Pereslavl-Zalessky, Oct 2007 Future Work -Implement automatic tools for data analysis on user side -Test algorithms for activity-data enhanced search and document recommendation -Improve logger to support more applications

RCDL 2007, Pereslavl-Zalessky, Oct 2007 Спасибо!