Title page for ETD etd-06252004-162449


Type of Document Dissertation
Author Perugini, Saverio
Author's Email Address sperugin@cs.vt.edu
URN etd-06252004-162449
Title Program Transformations for Information Personalization
Degree PhD
Department Computer Science
Advisory Committee
Advisor Name Title
Ramakrishnan, Naren Committee Chair
Abbott, A. Lynn Committee Member
Fox, Edward Alan Committee Member
Pérez-Quiñones, Manuel A. Committee Member
Rosson, Mary Beth Committee Member
Keywords
  • Hierarchical Hypermedia
  • Information Retrieval
  • Out-of-turn Interaction
  • Personalization
  • Program Transformations
  • Partial Evaluation
  • Program Slicing
  • Web Mining
  • Web Modeling
Date of Defense 2004-05-14
Availability unrestricted
Abstract
Personalization constitutes the mechanisms and technologies necessary to

customize information access to the end-user. It can be defined as the

automatic adjustment of information content, structure, and presentation. The

central thesis of this dissertation is that modeling interaction explicitly in

a representation, and studying how partial information can be harnessed in it

by program transformations to direct the flow of the interaction, can provide

insight into, reveal opportunities for, and define a model for personalized

interaction. To evaluate this thesis, a formal modeling methodology is

developed for personalizing interactions with information systems, especially

hierarchical hypermedia, based on program transformations. The predominant

form of personalized interaction developed in this thesis is out-of-turn

interaction, a technique which empowers the user to take the initiative in a

user--system dialog by providing unsolicited, but relevant, information

out-of-turn. Out-of-turn interaction helps flexibly bridge any mismatch

between the user's model of information seeking and the system's hardwired

hyperlink structure in a manner fundamentally different from extant solutions,

such as multiple faceted browsing classifications and search tools. This

capability is showcased through two interaction interfaces using alternate

modalities to capture and communicate out-of-turn information to the underlying

system: a toolbar embedded into a traditional browser for out-of-turn textual

input and voice-enabled content pages for out-of-turn speech input. The

specific research issues addressed involve identifying and developing

representations and transformations suitable for general classes of

hierarchical hypermedia, providing supplemental interactions for improving the

personalized experience, and studying user's (out-of-turn) interactions with

resulting systems.

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