Editorial Pointers
Diane Crawford
Page 5
News Track
Robert Fox
Pages 9-10
Forum
Pages 11-14
Legally Speaking: the Economic Espionage Act: Touring the Minefields
In order to protect homegrown secrets from foreign competitors, the U.S. Congress concocted the EEA, a cause of broad concern on the domestic front.
Andrew Grosso
Pages 15-18
The Business of Software: the Case For a New Business Model
Is software a product or a medium?
Phillip G. Armour
Pages 19-22
On Site: Does Typography Affect Proposal Assessment?
Daniel Berleant
Pages 24-25
Introduction: Personalized Views of Personalization
Our vocabulary of Internet-related words has become socially popular and, of course, an essential tool of trade in the hands of marketing initiatives. I recall in the early 1990s when words like "agent" and "multimedia" were …
Doug Riecken
Pages 26-28
Finance with a Personalized Touch
The banking industry has sure benefited from new technologies, but how can we ensure customer satisfaction?
Nigel Wells, Jeff Wolfers
Pages 30-34
Growth in Personalization and Business
Richard Riecken
Page 32
Experience with Personalization of Yahoo!
When designing Web personalization products, make sure you address all your users.
Udi Manber, Ash Patel, John Robison
Pages 35-39
Personalized Communication Networks
What does personalization mean to AT&T and what are the important business propositions to provide personalized services to its customers? Guest Editor Doug Riecken recently interviewed Kathleen Earley, Vice President of AT&T …
Doug Riecken
Pages 41-42
A User-Centered Design Approach to Personalization
The key to successful design is grounding the choice of features and tools upon value to the end user.
Joseph Kramer, Sunil Noronha, John Vergo
Pages 44-48
Affordances, Motivation, and the Design of -User Interfaces
Creating tools that enable rather than restrict add value to the product and loyalty from the customer.
John Karat, Clare-Marie Karat, Jacob Ukelson
Pages 49-51
Measuring Success
E-business intelligence is a complex, yet vital, element to building a strong customer base.
Edith Schonberg, Thomas Cofino, Robert Hoch, Mark Podlaseck, Susan L. Spraragen
Pages 53-57
Helping People Find What They Don't Know
Recommendation systems help users find the correct words for a successful search.
Nicolas J. Belkin
Pages 58-61
Creativity Enhancement with Emerging Technologies
For the creative person, the ability to determine how the creative process evolves is of critical importance.
Linda Candy, Ernest Edmonds
Pages 63-65
Commonsense-Based Interfaces
To build a machine that truly learns by itself will require a commonsense knowledge representing the kinds of things even a small child already knows.
Marvin Minsky
Pages 66-73
Phenomenal Data Mining
Tracing the road from data to phenomenausing a supermarket environ as the backdropillustrates the essence of data mining with commonsense knowledge.
John McCarthy
Pages 75-79
Representation Is Everything
Issues of representation pose many questionsand challengesthat must be solved before implementation.
Edwin P. D. Pednault
Pages 80-83
Personalization and Privacy
Does personalization jeopardize our privacy? If so, what should the law do about it?
Eugene Volokh
Pages 84-88
Personal End-User Tools
"If we perceive our role aright, we then see more clearly the proper criterion for success: a toolmaker succeeds as, and only as, the users of his tool succeed with his aid. However shining the blade, however perfect the heft …
Doug Riecken
Pages 89-91
Building Personal Tools By Programming
The Stagecast Creator can make a programmer out of every user.
David Canfield Smith
Pages 92-95
Intermediaries Personalize Information Streams
A software-based middleman transforms data between client and server for faster delivery and discovery.
Paul Maglio, Rob Barrett
Pages 96-101
Learning to Personalize
Recognizing patterns of behavior helps systems predict your next move.
Haym Hirsh, Chumki Basu, Brian D. Davison
Pages 102-106
A Personalized Television Listings Service
Mixing the collaborative recommendation approach with content-based filtering seems to bring out the best in both methods.
Barry Smyth, Paul Cotter
Pages 107-111
Capturing Human Intelligence in the Net
A new software system allows Web searchers to connect with others who have been there, done that.
Paul B. Kantor, Endre Boros, Benjamin Melamed, Vladimir Meñkov, Bracha Shapira, David J. Neu
Pages 112-115
Natural Language Dialogue For Personalized Interaction
Technologies that successfully recognize and react to spoken or typed words are key to true personalization. Front- and back-end systems must respond in accord, and one solution may be found somewhere in the middle(ware).
Wlodek Zadrozny, M. Budzikowska, J. Chai, N. Kambhatla, S. Levesque, N. Nicolov
Pages 116-120
Personalization on the Net -Using Web Mining: Introduction
On the Internet, we have experienced massive growth in systems that can personalize content delivered to individual users. The science behind personalization has undergone tremendous changes in recent years, yet the basic goal …
Maurice D. Mulvenna, Sarabjot S. Anand, Alex G. BÜchner
Pages 122-125
Web Usage Mining For Web Site Evaluation
Making a site better fit its users.
Myra Spiliopoulou
Pages 127-134
A Broader Approach to Personalization
Establishing an architecture for providing automatically generated, machine processable, dynamic user profiles to Web servers while conforming to users' privacy preferences.
Ibrahim Cingil, Asuman Dogac, Ayca Azgin
Pages 136-141
Automatic Personalization Based on Web -Usage Mining
Web usage mining can help improve the scalability, accuracy, and flexibility of recommender systems.
Bamshad Mobasher, Robert Cooley, Jaideep Srivastava
Pages 142-151
Adaptive Web Sites
Examining the potential use of automated adaptation to improve Web sites for visitors.
Mike Perkowitz, Oren Etzioni
Pages 152-158
Inside Risks: Shrink-Wrapping Our Rights
Barbara Simons
Page 168