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Publication search results
found 198 matches
- 2023
- Yaxiong Wu, Craig Macdonald, Iadh Ounis:
Goal-Oriented Multi-Modal Interactive Recommendation with Verbal and Non-Verbal Relevance Feedback. RecSys 2023: 362-373 - Yaming Yang, Jieyu Zhang, Yujing Wang, Zheng Miao, Yunhai Tong:
Multiple Connectivity Views for Session-based Recommendation. RecSys 2023: 1000-1006 - Chenyang Wang, Yankai Liu, Yuanqing Yu, Weizhi Ma, Min Zhang, Yiqun Liu, Haitao Zeng, Junlan Feng, Chao Deng:
Two-sided Calibration for Quality-aware Responsible Recommendation. RecSys 2023: 223-233 - Arkadeep Acharya, Brijraj Singh, Naoyuki Onoe:
LLM Based Generation of Item-Description for Recommendation System. RecSys 2023: 1204-1207 - Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Alexander Tuzhilin, Moshe Unger:
Workshop on Context-Aware Recommender Systems 2023. RecSys 2023: 1234-1236 - Darius Afchar, Romain Hennequin, Vincent Guigue:
Of Spiky SVDs and Music Recommendation. RecSys 2023: 926-932 - Rahul Agrawal, Sarang Brahme, Sourav Maitra, Saikishore Kalloori, Abhishek Srivastava, Yong Liu, Athirai A. Irissappane:
RecSys Challenge 2023: Deep Funnel Optimization with a Focus on User Privacy. RecSys 2023: 1217-1220 - Saurabh Agrawal, John Trenkle, Jaya Kawale:
Beyond Labels: Leveraging Deep Learning and LLMs for Content Metadata. RecSys 2023: 1 - Imane Akdim:
Acknowledging Dynamic Aspects of Trust in Recommender Systems. RecSys 2023: 1342-1343 - Geetha Sai Aluri, Paul Greyson, Joaquin Delgado:
Optimizing Podcast Discovery: Unveiling Amazon Music's Retrieval and Ranking Framework. RecSys 2023: 1036-1038 - Patrícia Alves, André Martins, Paulo Novais, Goreti Marreiros:
Improving Group Recommendations using Personality, Dynamic Clustering and Multi-Agent MicroServices. RecSys 2023: 1165-1168 - Pantelis Pipergias Analytis, Philipp Hager:
Collaborative filtering algorithms are prone to mainstream-taste bias. RecSys 2023: 750-756 - Vito Walter Anelli, Pierpaolo Basile, Gerard de Melo, Francesco M. Donini, Antonio Ferrara, Cataldo Musto, Fedelucio Narducci, Azzurra Ragone, Markus Zanker:
Fifth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS). RecSys 2023: 1259-1262 - Vito Walter Anelli, Daniele Malitesta, Claudio Pomo, Alejandro Bellogín, Eugenio Di Sciascio, Tommaso Di Noia:
Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis. RecSys 2023: 350-361 - Alejandro Ariza-Casabona, Maria Salamó, Ludovico Boratto, Gianni Fenu:
Towards Self-Explaining Sequence-Aware Recommendation. RecSys 2023: 904-911 - Yernat Assylbekov, Raghav Bali, Luke Bovard, Christian Klaue:
Delivery Hero Recommendation Dataset: A Novel Dataset for Benchmarking Recommendation Algorithms. RecSys 2023: 1042-1044 - Andrea Bacciu, Federico Siciliano, Nicola Tonellotto, Fabrizio Silvestri:
Integrating Item Relevance in Training Loss for Sequential Recommender Systems. RecSys 2023: 1114-1119 - Giacomo Balloccu:
Demystifying Recommender Systems: A Multi-faceted Examination of Explanation Generation, Impact, and Perception. RecSys 2023: 1361-1363 - Keqin Bao, Jizhi Zhang, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He:
TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation. RecSys 2023: 1007-1014 - Buket Baran, Guilherme Dinis Junior, Antonina Danylenko, Olayinka S. Folorunso, Gösta Forsum, Maksym Lefarov, Lucas Maystre, Yu Zhao:
Accelerating Creator Audience Building through Centralized Exploration. RecSys 2023: 70-73 - Walid Bendada, Théo Bontempelli, Mathieu Morlon, Benjamin Chapus, Thibault Cador, Thomas Bouabça, Guillaume Salha-Galvan:
Track Mix Generation on Music Streaming Services using Transformers. RecSys 2023: 112-115 - Walid Bendada, Guillaume Salha-Galvan, Romain Hennequin, Thomas Bouabça, Tristan Cazenave:
On the Consistency of Average Embeddings for Item Recommendation. RecSys 2023: 833-839 - Manik Bhandari, Mingxian Wang, Oleg Poliannikov, Kanna Shimizu:
RecQR: Using Recommendation Systems for Query Reformulation to correct unseen errors in spoken dialog systems. RecSys 2023: 1019-1022 - Ergun Biçici:
Power Loss Function in Neural Networks for Predicting Click-Through Rate. RecSys 2023: 1180-1183 - William Black, Ercument Ilhan, Andrea Marchini, Vilda Markeviciute:
AdaptEx: A Self-Service Contextual Bandit Platform. RecSys 2023: 426-429 - Toine Bogers, David Graus, Mesut Kaya, Chris Johnson, Jens-Joris Decorte:
Third Workshop on Recommender Systems for Human Resources (RecSys in HR 2023). RecSys 2023: 1244-1247 - Felix Bölz, Diana Nurbakova, Sylvie Calabretto, Armin Gerl, Lionel Brunie, Harald Kosch:
HUMMUS: A Linked, Healthiness-Aware, User-centered and Argument-Enabling Recipe Data Set for Recommendation. RecSys 2023: 1-11 - Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, Marco Polignano, Giovanni Semeraro, Martijn C. Willemsen:
10th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS'23). RecSys 2023: 1255-1258 - Yuwei Cao, Liangwei Yang, Chen Wang, Zhiwei Liu, Hao Peng, Chenyu You, Philip S. Yu:
Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation. RecSys 2023: 322-333 - Tommaso Carraro:
Overcoming Recommendation Limitations with Neuro-Symbolic Integration. RecSys 2023: 1325-1331
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