Studying the Effect of Data Structures on the Efficiency of Collaborative Filtering Systems. - Pablo Sánchez 001; Alejandro Bellogín; Iván Cantador (CERI, 2016)

Revisiting Neighbourhood-Based Recommenders For Temporal Scenarios. - Alejandro Bellogín; Pablo Sánchez 001 (RecTemp@RecSys, 2017)

Collaborative filtering based on subsequence matching: A new approach. - Alejandro Bellogín; Pablo Sánchez 001 (Inf. Sci., 2017)

Applying Subsequence Matching to Collaborative Filtering: Extended Abstract. - Alejandro Bellogín; Pablo Sánchez 001 (CERI, 2018)

New approaches for evaluation: correctness and freshness: Extended Abstract. - Pablo Sánchez 001; Rus M. Mesas; Alejandro Bellogín (CERI, 2018)

Time-Aware Novelty Metrics for Recommender Systems. - Pablo Sánchez 001; Alejandro Bellogín (ECIR, 2018)

Measuring anti-relevance: a study on when recommendation algorithms produce bad suggestions. - Pablo Sánchez 001; Alejandro Bellogín (RecSys, 2018)

Challenges on Evaluating Venue Recommendation Approaches: Position Paper. - Pablo Sánchez 001; Alejandro Bellogín (RecTour@RecSys, 2018)

A novel approach for venue recommendation using cross-domain techniques. - Pablo Sánchez 001; Alejandro Bellogín (CoRR, 2018)

Attribute-based evaluation for recommender systems: incorporating user and item attributes in evaluation metrics. - Pablo Sánchez 001; Alejandro Bellogín (RecSys, 2019)

Exploiting contextual information for recommender systems oriented to tourism. - Pablo Sánchez 001 (RecSys, 2019)

Building user profiles based on sequences for content and collaborative filtering. - Pablo Sánchez 001; Alejandro Bellogín (Inf. Process. Manag., 2019)

Discovering Related Users in Location-based Social Networks. - Sergio Torrijos; Alejandro Bellogín; Pablo Sánchez 001 (UMAP, 2020)

Time and sequence awareness in similarity metrics for recommendation. - Pablo Sánchez 001; Alejandro Bellogín (Inf. Process. Manag., 2020)

Applying reranking strategies to route recommendation using sequence-aware evaluation. - Pablo Sánchez 001; Alejandro Bellogín (User Model. User Adapt. Interact., 2020)

Point-of-Interest Recommender Systems: A Survey from an Experimental Perspective. - Pablo Sánchez 001; Alejandro Bellogín (CoRR, 2021)

On the effects of aggregation strategies for different groups of users in venue recommendation. - Pablo Sánchez 001; Alejandro Bellogín (Inf. Process. Manag., 2021)

Travelers vs. Locals: The Effect of Cluster Analysis in Point-of-Interest Recommendation. - Pablo Sánchez 001; Linus W. Dietz (UMAP, 2022)

Point-of-Interest Recommender Systems Based on Location-Based Social Networks: A Survey from an Experimental Perspective. - Pablo Sánchez 001; Alejandro Bellogín (ACM Comput. Surv., 2022)

Bias characterization, assessment, and mitigation in location-based recommender systems. - Pablo Sánchez 001; Alejandro Bellogín; Ludovico Boratto (Data Min. Knowl. Discov., 2023)

Correction to: Bias characterization, assessment, and mitigation in location-based recommender systems. - Pablo Sánchez 001; Alejandro Bellogín; Ludovico Boratto (Data Min. Knowl. Discov., 2024)

Improving Novelty and Diversity of Nearest-Neighbors Recommendation by Exploiting Dissimilarities. - Pablo Sánchez 001; Javier Sanz-Cruzado; Alejandro Bellogín (ECIR (4), 2025)

Understanding the influence of data characteristics on the performance of point-of-interest recommendation algorithms. - Linus W. Dietz; Pablo Sánchez 001; Alejandro Bellogín (J. Inf. Technol. Tour., 2025)

Point of Interest Recommendation: Pitfalls and Viable Solutions. - Alejandro Bellogín; Linus W. Dietz; Francesco Ricci; Pablo Sánchez 001 (CoRR, 2025)

Smart Imputation, Better Recommendations: Improving Traditional Point-of-Interest Recommendation through Data Augmentation. - Pablo Sánchez 001; Alejandro Bellogín (ACM Trans. Intell. Syst. Technol., 2025)