ACM International Conference on Recommender Systems
RecSys
A
CORE rank
CORE rank (raw)
A
Acceptance rate
18.0% (2024 full papers)
Fields of research
Data Management and Data Science
Papers indexed
2,902
2007–2025
Papers per year
2007239 peak2025
Most published authors
RecSys papers
2,902 records sourced from DBLP. Search titles, filter by year, sort by recency.
| Year | Title | Authors |
|---|---|---|
| 2023 | HUMMUS: A Linked, Healthiness-Aware, User-centered and Argument-Enabling Recipe Data Set for Recommendation. | Felix Blz, Diana Nurbakova, Sylvie Calabretto, Armin Gerl, Lionel Brunie, Harald Kosch |
| 2023 | Third Workshop on Recommender Systems for Human Resources (RecSys in HR 2023). | Toine Bogers, David Graus, Mesut Kaya, Chris Johnson, Jens-Joris Decorte |
| 2023 | AdaptEx: A Self-Service Contextual Bandit Platform. | William Black, Ercument Ilhan, Andrea Marchini, Vilda Markeviciute |
| 2023 | Power Loss Function in Neural Networks for Predicting Click-Through Rate. | Ergun Biici |
| 2023 | RecQR: Using Recommendation Systems for Query Reformulation to correct unseen errors in spoken dialog systems. | Manik Bhandari, Mingxian Wang, Oleg Poliannikov, Kanna Shimizu |
| 2023 | On the Consistency of Average Embeddings for Item Recommendation. | Walid Bendada, Guillaume Salha-Galvan, Romain Hennequin, Thomas Bouaba, Tristan Cazenave |
| 2023 | Track Mix Generation on Music Streaming Services using Transformers. | Walid Bendada, Tho Bontempelli, Mathieu Morlon, Benjamin Chapus, Thibault Cador, Thomas Bouaba, Guillaume Salha-Galvan |
| 2023 | Pessimistic Rescaling and Distribution Shift of Boosting Models for Impression-Aware Online Advertising Recommendation. | Paolo Basso, Arturo Benedetti, Nicola Cecere, Alessandro Maranelli, Salvatore Marragony, Samuele Peri, Andrea Riboni, Alessandro Verosimile, Davide Zanutto, Maurizio Ferrari Dacrema |
| 2023 | Accelerating Creator Audience Building through Centralized Exploration. | Buket Baran, Guilherme Dinis Junior, Antonina Danylenko, Olayinka S. Folorunso, Gsta Forsum, Maksym Lefarov, Lucas Maystre, Yu Zhao |
| 2023 | TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation. | Keqin Bao, Jizhi Zhang, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He |
| 2023 | Demystifying Recommender Systems: A Multi-faceted Examination of Explanation Generation, Impact, and Perception. | Giacomo Balloccu |
| 2023 | Integrating Item Relevance in Training Loss for Sequential Recommender Systems. | Andrea Bacciu, Federico Siciliano, Nicola Tonellotto, Fabrizio Silvestri |
| 2023 | Delivery Hero Recommendation Dataset: A Novel Dataset for Benchmarking Recommendation Algorithms. | Yernat Assylbekov, Raghav Bali, Luke Bovard, Christian Klaue |
| 2023 | Towards Self-Explaining Sequence-Aware Recommendation. | Alejandro Ariza-Casabona, Maria Salam, Ludovico Boratto, Gianni Fenu |
| 2023 | Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis. | Vito Walter Anelli, Daniele Malitesta, Claudio Pomo, Alejandro Bellogn, Eugenio Di Sciascio, Tommaso Di Noia |
| 2023 | Fifth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS). | Vito Walter Anelli, Pierpaolo Basile, Gerard de Melo, Francesco M. Donini, Antonio Ferrara, Cataldo Musto, Fedelucio Narducci, Azzurra Ragone, Markus Zanker |
| 2023 | Collaborative filtering algorithms are prone to mainstream-taste bias. | Pantelis Pipergias Analytis, Philipp Hager |
| 2023 | Improving Group Recommendations using Personality, Dynamic Clustering and Multi-Agent MicroServices. | Patrcia Alves, Andr Martins, Paulo Novais, Goreti Marreiros |
| 2023 | Optimizing Podcast Discovery: Unveiling Amazon Music's Retrieval and Ranking Framework. | Geetha Sai Aluri, Paul Greyson, Joaquin Delgado |
| 2023 | Acknowledging Dynamic Aspects of Trust in Recommender Systems. | Imane Akdim |
| 2023 | Beyond Labels: Leveraging Deep Learning and LLMs for Content Metadata. | Saurabh Agrawal, John Trenkle, Jaya Kawale |
| 2023 | RecSys Challenge 2023: Deep Funnel Optimization with a Focus on User Privacy. | Rahul Agrawal, Sarang Brahme, Sourav Maitra, Saikishore Kalloori, Abhishek Srivastava, Yong Liu, Athirai A. Irissappane |
| 2023 | RecSys Challenge 2023 Dataset: Ads Recommendations in Online Advertising. | Rahul Agrawal, Sarang Brahme, Sourav Maitra, Abhishek Srivastava, Athirai A. Irissappane, Yong Liu, Saikishore Kalloori |
| 2023 | Of Spiky SVDs and Music Recommendation. | Darius Afchar, Romain Hennequin, Vincent Guigue |
| 2023 | Workshop on Context-Aware Recommender Systems 2023. | Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Alexander Tuzhilin, Moshe Unger |
651–675 of 2,902← PreviousNext →
Comparable venues
Other A*/A conferences filed under the same field of research.
- ACIKMACM International Conference on Information and Knowledge Management
- A*SIGIRACM International Conference on Research and Development in Information Retrieval
- A*ICDEInternational Conference on Data Engineering
- A*KDDACM International Conference on Knowledge Discovery and Data Mining
- A*ICDMIEEE International Conference on Data Mining
- A*SIGMODACM Special Interest Group on Management of Data Conference
- AICDARIEEE International Conference on Document Analysis and Recognition
- ACaiSEInternational Conference on Advanced Information Systems Engineering