Personne

Pearl Pu Faltings

Publications associées (65)

Evaluating product search and recommender systems for E-commerce environments

Pearl Pu Faltings, Pratyush Kumar, Li Chen

Online systems that help users select the most preferential item from a large electronic catalog are known as product search and recommender systems. Evaluation of various proposed technologies is essential for further development in this area. This paper ...

Springer US2008

Preference-based organization interfaces: aiding user critiques in recommender systems

Pearl Pu Faltings, Chen Li

Users' critiques to the current recommendation form a crucial feedback mechanism for refining their preference models and improving a system's accuracy in recommendations that may better interest the user. In this paper, we present a novel approach to assi ...

Springer-Verlag2007

Evaluating compound critiquing recommenders: A real-user study

Pearl Pu Faltings, Jiyong Zhang

Conversational recommender systems are designed to help users to more efficiently navigate complex product spaces by alternatively making recommendations and inviting users' feedback. Compound critiquing techniques provide an efficient way for users to fee ...

Association for Computing Machinery, New York, NY 10036-5701, United States2007

Representative explanations for over-constrained problems

Boi Faltings, Pearl Pu Faltings

In many interactive decision making scenarios there is often no solution that satisfies all of the user's preferences. The decision process can be helped by providing explanations. Relaxations show sets of consistent preferences and, thus, indicate which p ...

American Association for Artificial Intelligence, Menlo Park, CA 94025-3496, United States2007

Refining preference-based search results through Bayesian filtering

Pearl Pu Faltings, Jiyong Zhang

Preference-based search (PBS) is a popular approach for helping consumers find their desired items from online catalogs. Currently most PBS tools generate search results by a certain set of criteria based on preferences elicited from the current user durin ...

Association for Computing Machinery, New York, NY 10036-5701, United States2007

Hybrid critiquing-based recommender systems

Pearl Pu Faltings, Li Chen

We propose a novel critiquing-based recommender interface, the hybrid critiquing interface that integrates the user self-motivated critiquing facility to compensate for the limitations of system-proposed critiques. The results from our user study show that ...

Association for Computing Machinery, New York, NY 10036-5701, United States2007

Trust-inspiring explanation interfaces for recommender systems

Pearl Pu Faltings, Li Chen

A recommender system's ability to establish trust with users and convince them of its recommendations, such as which camera or PC to purchase, is a crucial design factor especially for e-commerce environments. This observation led us to build a trust model ...

Elsevier, Amsterdam, 1000 AE, Netherlands2007

User Technology Adoption Issues in Recommender Systems

Pearl Pu Faltings, Nicolas Jones

Two music recommender websites, Pandora (a content-based recommender) and Last.fm (a rating-based social recommender), were compared side-by-side in a within-subject user study involving 64 participants. The main objective was to investigate users’ initial ...

2007

A comparison of two compound critiquing systems

Pearl Pu Faltings, Jiyong Zhang

Compound critiques allow users to simultaneously express directional preferences over several product attributes. Presenting the user with compound critiques is not a new idea. The original Find-Me Systems (e.g., Car Navigator) showed static compound criti ...

Association for Computing Machinery, New York, NY 10036-5701, United States2007

Preference-based Search using Example-Critiquing with Suggestions

Boi Faltings, Pearl Pu Faltings, Paolo Viappiani

We consider interactive tools that help users search for their most preferred item in a large collection of options. In particular, we examine example-critiquing, a technique for enabling users to incrementally construct preference models by critiquing exa ...

2006

Evaluating critiquing-based recommencler agents

Pearl Pu Faltings, Li Chen

We describe a user study evaluating two critiquing-based recommender agents based on three criteria: decision accuracy, decision effort, and user confidence. Results show that user-motivated critiques were more frequently applied and the example critiquing ...

American Association for Artificial Intelligence, Menlo Park, CA 94025-3496, United States2006

A comparative study of compound critique generation in conversational recommender systems

Pearl Pu Faltings, Jiyong Zhang

Critiquing techniques provide an easy way for users to feedback their preferences over one or several attributes of the products in a conversational recommender system. While unit critiques only allow users to critique one attribute of the products each ti ...

Springer Verlag, Heidelberg, D-69121, Germany2006

Performance evaluation of consumer decision support systems

Pearl Pu Faltings

Consumer decision support systems (CDSSs) help online users make purchasing decisions in e-commerce Web sites. To more effectively compare the usefulness of the various functionalities and interface features of such systems, we have developed a simulation ...

Idea Group Publishing2006

The lookahead principle for preference elicitation: Experimental results

Boi Faltings, Pearl Pu Faltings, Paolo Viappiani

Preference-based search is the problem of finding an item that matches best with a user's preferences. User studies show that example-based tools for preference-based search can achieve significantly higher accuracy when they are complemented with suggesti ...

Springer Verlag2006

Trust building with explanation interfaces

Pearl Pu Faltings

Based on our recent work on the development of a trust model for recommender agents and a qualitative survey, we explore the potential of building users' trust with explanation interfaces. We present the major results from the survey, which provided a road ...

ACM2006

Increasing user decision accuracy using suggestions

Boi Faltings, Pearl Pu Faltings, Paolo Viappiani

The internet presents people with an increasingly bewildering variety of choices. Online consumers have to rely on computerized search tools to find the most preferred option in a reasonable amount of time. Recommender systems address this problem by searc ...

Association for Computing Machinery, New York, NY 10036-5701, United States2006

Agile decision agent for service-oriented e-commerce systems

Boi Faltings, Pearl Pu Faltings

In a service-oriented e-commerce environment, it is a crucial task to help consumers choose desired products efficiently from a huge amount of dynamically configured product candidates. Decision agents can be designed to provide interactive decision aids f ...

IEEE Comput. Soc2006

An evaluation of semantic fisheye views for opportunistic search in an annotated image collection

Pearl Pu Faltings, Frank Paul Janecek

Springer, Springer Berlin Heidelberg; www.springer.de2005

Stimulating Preference Expression Using Suggestions

Boi Faltings, Pearl Pu Faltings, Vincent Jean Fabrice Schickel, Paolo Viappiani

2005

Concept expansion using semantic fisheye views

Pearl Pu Faltings, Vincent Jean Fabrice Schickel, Frank Paul Janecek

Exploratory search over a collection often requires users to iteratively apply a variety of strategies, such as searching for more general or more specific concepts in reaction to the information they encounter. Rich semantic models, such as WordNet, are p ...

Springer Verlag, Heidelberg, D-69121, Germany2005