Title :
PIPE: Web personalization by partial evaluation
Author :
Ramakrishnan, Naren
Author_Institution :
Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA
Abstract :
Partial evaluation is a technique popular in the programming languages community. It is applied here as a methodology for personalizing Web content. PIPE (Personalization is Partial Evaluation) is able to personalize Web resources, without enumerating the interaction sequences beforehand. It supports information integration, and varying levels of input by Web visitors. PIPE models personalization as a form of partial evaluation, a technique that uses incomplete input information to specialize programs. This article describes the PIPE methodology and presents experimental results demonstrating its effectiveness in two different domains
Keywords :
information resources; online front-ends; partial evaluation (compilers); PIPE; Personalization is Partial Evaluation; Web content; Web personalization; Web resources; incomplete input information; information integration; interaction sequences; partial evaluation; Abstracts; Collaboration; Content management; Data mining; Databases; Indexing; Internet; Pattern matching; Search engines; Service oriented architecture;
Journal_Title :
Internet Computing, IEEE
DOI :
10.1109/4236.895012