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Pearl Pu Faltings

Cette personne a quitté l’EPFL

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Publications associées (65)

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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

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 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

Recommender System for Responsive Engagement of Senior Adults in Daily Activities

Pearl Pu Faltings, Igor Kulev

Understanding and predicting how people change their behavior after an intervention from time series data is an important task for health recommender systems. This task is especially challenging when the time series data is frequently sampled. In this pape ...

SPRINGER INTERNATIONAL PUBLISHING AG2020

Geographical Feature Extraction for Entities in Location-based Social Networks

Pearl Pu Faltings

Location-based embedding is a fundamental problem to solve in location-based social network (LBSN). In this paper, we propose a geographical convolutional neural tensor network (GeoCNTN) as a generic embedding model. GeoCNTN first takes the raw location da ...

ASSOC COMPUTING MACHINERY2018

Critiquing-based recommenders: survey and emerging trends

Pearl Pu Faltings, Li Chen

Critiquing-based recommender systems elicit users' feedback, called critiques, which they made on the recommended items. This conversational style of interaction is in contract to the standard model where users receive recommendations in a single interacti ...

2012

Key Qualities of Conversational Chatbots - the PEACE Model

Pearl Pu Faltings, Ekaterina Svikhnushina

Open-domain chatbots engage in natural conversations with the user to socialize and establish bonds. However, designing and developing an effective open-domain chatbot is challenging. It is unclear what qualities of such chatbots most correspond to users' ...

ASSOC COMPUTING MACHINERY2021

A Taxonomy of Empathetic Questions in Social Dialogs

Pearl Pu Faltings, Kalpani Anuradha Welivita, Ekaterina Svikhnushina

Effective question-asking is a crucial component of a successful conversational chatbot. It could help the bots manifest empathy and render the interaction more engaging by demonstrating attention to the speaker's emotions. However, current dialog generati ...

ASSOC COMPUTATIONAL LINGUISTICS-ACL2022

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

Recommender systems: Trends and frontiers

Pearl Pu Faltings

Recommender systems (RSs), as used by Netflix, YouTube, or Amazon, are one of the most compelling success stories of AI. Enduring research activity in this area has led to a continuous improvement of recommendation techniques over the years, and today's RS ...

AMER ASSOC ARTIFICIAL INTELL2022

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

Modeling the Impact of Modifiers on Emotional Statements

Pearl Pu Faltings, Valentina Sintsova

Humans use a variety of modifiers to enrich communications with one another. While this is a deliberate subtlety in our language, the presence of modifiers can cause problems for emotion analysis by machines. Our research objective is to understand and com ...

SPRINGER NATURE SWITZERLAND AG2018

Predictors of Life Satisfaction based on Daily Activities from Mobile Sensor Data

Pearl Pu Faltings, Jiyong Zhang, Onur Yürüten

In recent years much research work has been dedicated to detecting user activity patterns from sensor data such as location, movement and proximity. However, how daily activities are correlated to people's happiness (such as their satisfaction from work an ...

2014

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

Eye-Tracking Product Recommenders' Usage

Pearl Pu Faltings, Nicolas Jones

Recommender systems have emerged as an effective decision tool to help users more easily and quickly find products that they prefer, especially in e-commerce environments. However, few studies have tried to understand how this technology has influenced the ...

ACM2010

A :) Is Worth a Thousand Words: How People Attach Sentiment to Emoticons and Words in Tweets

Boi Faltings, Pearl Pu Faltings, Claudiu-Cristian Musat, Marina Boia

Emoticons are widely used to express positive or negative sentiment on Twitter. We report on a study with live users to determine whether emoticons are used to merely emphasize the sentiment of tweets, or whether they are the main elements carrying the sen ...

IEEE2013

A Large-Scale Dataset for Empathetic Response Generation

Pearl Pu Faltings, Kalpani Anuradha Welivita, Yubo Xie

Recent development in NLP shows a strong trend towards refining pre-trained models with a domain-specific dataset. This is especially the case for response generation where emotion plays an important role. However, existing empathetic datasets remain small ...

ASSOC COMPUTATIONAL LINGUISTICS-ACL2021

Investigating users' eye movement behavior in critiquing-based recommender systems

Pearl Pu Faltings, Li Chen

Recommender systems have increasingly become popular in various web environments (such as e-commerce and social media) for automatically generating items that match to individual users' personal interests. Among different types of recommender systems that ...

Ios Press2017

HEAL: A Knowledge Graph for Distress Management Conversations

Pearl Pu Faltings, Kalpani Anuradha Welivita

The demands of the modern world are increasingly responsible for causing psychological burdens and bringing adverse impacts on our mental health. As a result, neural conversational agents with empathetic responding and distress management capabilities have ...

ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE2022

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