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Explicit Trade-off and Prospective Analysis in Electronic Catalogs

Related publications (38)

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Dynamic Personalized Ranking

Jérémie Rappaz

Personalized ranking methods are at the core of many systems that learn to produce recommendations from user feedbacks. Their primary objective is to identify relevant items from very large vocabularies and to assist users in discovering new content. These ...

EPFL2022

Atomistic modeling of the solid-liquid interface of metals and alloys

Edoardo Baldi

Solidification is a phase transformation of utmost importance in material science, for it largely controls materials' microstructure on which a wide range of mechanical properties depends. Almost every human artifact undergoes a transformation that leads t ...

EPFL2020

SafetyPin: Encrypted Backups with Human-Memorable Secrets

Henry Nathaniel Corrigan-Gibbs

We present the design and implementation of SafetyPin, a system for encrypted mobile-device backups. Like existing cloud-based mobile-backup systems, including those of Apple and Google, SafetyPin requires users to remember only a short PIN and defends aga ...

USENIX Association2020

SafetyPin: Encrypted Backups with Human-Memorable Secrets

Henry Nathaniel Corrigan-Gibbs

USENIX ASSOC2020

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

Pearl Pu Faltings, Li Chen, Feng Wang

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

Tracking Transmission of Details in Paintings

Frédéric Kaplan, Isabella Di Lenardo, Benoît Laurent Auguste Seguin

In previous articles (di Lenardo et al, 2016; Seguin et al, 2016), we explored how efficient visual search engines operating not on the basis of textual metadata but directly through visual queries, could fundamen- tally change the navigation in large data ...

2017

MEM0R1ES: Memory-based Information Systems

Michele Catasta

The advent of the Web reshaped the way in which humans memorize information, arguably unlike any other technological advance of the last decades. Rather than remembering the information itself, people are primed to find the needed information through Web s ...

EPFL2015

Result Selection and Summarization for Web Table Search

Karl Aberer, Quoc Viet Hung Nguyen, Thành Tâm Nguyên

The amount of information available on the Web has been growing dramatically, raising the importance of techniques for searching the Web. Recently, Web Tables emerged as a model, which enables users to search for information in a structured way. However, e ...

2015

B-hist: Entity-centric search over personal web browsing history

Karl Aberer, Philippe Cudré-Mauroux, Michele Catasta, Jean-Eudes Marie Ranvier

Web Search is increasingly entity centric; as a large fraction of common queries target specific entities, search results get progressively augmented with semi-structured and multimedia information about those entities. However, search over personal web br ...

Elsevier2014

Crowdsourcing Literal Review

Chi Thang Duong

Our user feedback framework requires some robust techniques in order to tackle the scalability issue of schema matching network. One approach is employing crowd-sourcing/human computation models. Crowdsourcing is one of cutting-edge research areas which in ...

2014