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20162021
most citedBarbara Made the News: Mining the Behavior of Crowds for Time-Aware Learning to Rank

9 citations · 48 across the 13 of their papers we have counts for

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Showing cs.IRShow all

6 papers · 1 filter

cs.IR2021

BERT Embeddings Can Track Context in Conversational Search

Rafael Ferreira, David Semedo, Joao Magalhaes

The use of conversational assistants to search for information is becoming increasingly more popular among the general public, pushing the research towards more advanced and sophis…

cs.IR2021

Open-Domain Conversational Search Assistant with Transformers

Rafael Ferreira, Mariana Leite, David Semedo +1

Open-domain conversational search assistants aim at answering user questions about open topics in a conversational manner. In this paper we show how the Transformer architecture ac…

cs.IR2018★ 5 cited

Modeling Temporal Evidence from External Collections

Flávio Martins, João Magalhães, Jamie Callan

Newsworthy events are broadcast through multiple mediums and prompt the crowds to produce comments on social media. In this paper, we propose to leverage on this behavioral dynamic…

cs.IR2018★ 6 cited

Ranking News-Quality Multimedia

Gonçalo Marcelino, Ricardo Pinto, João Magalhães

News editors need to find the photos that best illustrate a news piece and fulfill news-media quality standards, while being pressed to also find the most recent photos of live eve…

cs.IR2018★ 2 cited

A Vertical PRF Architecture for Microblog Search

Flávio Martins, João Magalhães, Jamie Callan

In microblog retrieval, query expansion can be essential to obtain good search results due to the short size of queries and posts. Since information in microblogs is highly dynamic…

cs.IR2016★ 9 cited

Barbara Made the News: Mining the Behavior of Crowds for Time-Aware Learning to Rank

Flávio Martins, João Magalhães, Jamie Callan

In Twitter, and other microblogging services, the generation of new content by the crowd is often biased towards immediacy: what is happening now. Prompted by the propagation of co…