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Pablo Castells

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Rocío Cañamares

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Publications

2021
[j30]
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  - journals/tois/Mena-MaldonadoC21
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  - https://dblp.org/rec/journals/tois/Mena-MaldonadoC21
Elisa Mena-Maldonado, Rocío Cañamares, Pablo Castells, Yongli Ren, Mark Sanderson:
Popularity Bias in False-positive Metrics for Recommender Systems Evaluation. ACM Trans. Inf. Syst. 39(3): 36:1-36:43 (2021)
2020
[j28]
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  - journals/ir/CanamaresCM20
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Rocío Cañamares, Pablo Castells, Alistair Moffat:
Offline evaluation options for recommender systems. Inf. Retr. J. 23(4): 387-410 (2020)
[c84]
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  - conf/recsys/CanamaresC20
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Rocío Cañamares, Pablo Castells:
On Target Item Sampling in Offline Recommender System Evaluation. RecSys 2020: 259-268
[c83]
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  - conf/sigir/Mena-MaldonadoC20
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Elisa Mena-Maldonado, Rocío Cañamares, Pablo Castells, Yongli Ren, Mark Sanderson:
Agreement and Disagreement between True and False-Positive Metrics in Recommender Systems Evaluation. SIGIR 2020: 841-850
2019
[c80]
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  - conf/recsys/CanamaresRC19
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Rocío Cañamares, Marcos Redondo, Pablo Castells:
Multi-armed recommender system bandit ensembles. RecSys 2019: 432-436
2018
[c76]
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  - conf/sigir/CanamaresC18
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Rocío Cañamares, Pablo Castells:
Should I Follow the Crowd?: A Probabilistic Analysis of the Effectiveness of Popularity in Recommender Systems. SIGIR 2018: 415-424
[c75]
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  - conf/sigir/CanamaresC18a
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Rocío Cañamares, Pablo Castells:
From the PRP to the Low Prior Discovery Recall Principle for Recommender Systems. SIGIR 2018: 1081-1084
2017
[c73]
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  - conf/sigir/CanamaresC17
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Rocío Cañamares, Pablo Castells:
A Probabilistic Reformulation of Memory-Based Collaborative Filtering: Implications on Popularity Biases. SIGIR 2017: 215-224
2014
[c71]
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  - electronic edition @ ceur-ws.org (open access)
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  - conf/recsys/CanamaresC14
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Rocío Cañamares, Pablo Castells:
Exploring Social Network Effects on Popularity Biases in Recommender Systems. RSWeb@RecSys 2014

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