Usability Guidelines for Product Recommenders Based on Example Critiquing Research

Pearl Pu, Boi Faltings, Li Chen, Jiyong Zhang, Paolo Viappiani

Research output: Chapter in book/report/conference proceedingChapterpeer-review

Abstract

Over the past decade, our group has developed a suite of decision tools based on example critiquing to help users find their preferred products in e-commerce environments. In this chapter, we survey important usability research work relative to example critiquing and summarize the major results by deriving a set of usability guidelines. Our survey is focused on three key interaction activities between the user and the system: the initial preference elicitation process, the preference revision process, and the presentation of the systems recommendation results. To provide a basis for the derivation of the guidelines, we developed a multi-objective framework of three interacting criteria: accuracy, confidence, and effort (ACE). We use this framework to analyze our past work and provide a specific context for each guideline: when the system should maximize its ability to increase users’ decision accuracy, when to increase user confidence, and when to minimize the interaction effort for the users. Due to the general nature of this multi-criteria model, the set of guidelines that we propose can be used to ease the usability engineering process of other recommender systems, especially those used in e-commerce environments. The ACE framework presented here is also the first in the field to evaluate the performance of preference-based recommenders from a user-centric point of view.
Original languageEnglish
Title of host publicationRecommender Systems Handbook
EditorsFrancesco Ricci, Lior Rokach, Bracha Shapira, Paul B. Kantor
PublisherSpringer Boston
Pages511-545
Number of pages35
Edition1st
ISBN (Electronic)9780387858203
ISBN (Print)9780387858197
DOIs
Publication statusPublished - 5 Oct 2010

User-Defined Keywords

  • Recommender System
  • Product Recommender
  • Preference Elicitation
  • Decision Accuracy
  • Usability Guideline

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