Pablo Sánchez

Orcid: 0000-0003-1792-1706

Affiliations:
  • Comillas Pontifical University, Spain
  • Autonomous University of Madrid, Spain


According to our database1, Pablo Sánchez authored at least 21 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2023
Bias characterization, assessment, and mitigation in location-based recommender systems.
Data Min. Knowl. Discov., September, 2023

Understanding the Influence of Data Characteristics on the Performance of Point-of-Interest Recommendation Algorithms.
CoRR, 2023

2022
Point-of-Interest Recommender Systems Based on Location-Based Social Networks: A Survey from an Experimental Perspective.
ACM Comput. Surv., January, 2022

Travelers vs. Locals: The Effect of Cluster Analysis in Point-of-Interest Recommendation.
Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022

2021
On the effects of aggregation strategies for different groups of users in venue recommendation.
Inf. Process. Manag., 2021

Point-of-Interest Recommender Systems: A Survey from an Experimental Perspective.
CoRR, 2021

2020
Applying reranking strategies to route recommendation using sequence-aware evaluation.
User Model. User Adapt. Interact., 2020

Time and sequence awareness in similarity metrics for recommendation.
Inf. Process. Manag., 2020

Discovering Related Users in Location-based Social Networks.
Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020

2019
Building user profiles based on sequences for content and collaborative filtering.
Inf. Process. Manag., 2019

Exploiting contextual information for recommender systems oriented to tourism.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Attribute-based evaluation for recommender systems: incorporating user and item attributes in evaluation metrics.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

2018
A novel approach for venue recommendation using cross-domain techniques.
CoRR, 2018

Challenges on Evaluating Venue Recommendation Approaches: Position Paper.
Proceedings of the Workshop on Recommenders in Tourism, 2018

Measuring anti-relevance: a study on when recommendation algorithms produce bad suggestions.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Time-Aware Novelty Metrics for Recommender Systems.
Proceedings of the Advances in Information Retrieval, 2018

New approaches for evaluation: correctness and freshness: Extended Abstract.
Proceedings of the 5th Spanish Conference on Information Retrieval, 2018

Applying Subsequence Matching to Collaborative Filtering: Extended Abstract.
Proceedings of the 5th Spanish Conference on Information Retrieval, 2018

2017
Collaborative filtering based on subsequence matching: A new approach.
Inf. Sci., 2017

Revisiting Neighbourhood-Based Recommenders For Temporal Scenarios.
Proceedings of the 1st Workshop on Temporal Reasoning in Recommender Systems co-located with 11th International Conference on Recommender Systems (RecSys 2017), 2017

2016
Studying the Effect of Data Structures on the Efficiency of Collaborative Filtering Systems.
Proceedings of the 4th Spanish Conference on Information Retrieval, 2016


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