DESIGN SPACE OF PERSONALIZED INDEXING: ENHANCING SUCCESSIVE WEB SEARCHES FOR TRANSMUTING INFORMATION PROBLEMS
Successive searches are very common search behavior in online shopping, Intranet information retrieval and other ordinary information seeking contexts. This study unveils the design space of Personalized Indexing (PI), a tool that supports successive searches for information problems that evolve over sessions. An empirical user study on a representative task of transmuting information problems in the Web context was conducted to evaluate PI. The preliminary result of this user study is briefly reported, confirming that PI does support the searchers well in the problematic areas of the information seeking process it intends to address.