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Publication search results
found 1,423 matches
- 2024
- Suchana Datta, Debasis Ganguly, Sean MacAvaney, Derek Greene:
A Deep Learning Approach for Selective Relevance Feedback. ECIR (2) 2024: 189-204 - Omar Shahbaz Khan, Hongyi Zhu, Ujjwal Sharma, Evangelos Kanoulas, Stevan Rudinac, Björn Þór Jónsson:
Exquisitor at the Video Browser Showdown 2024: Relevance Feedback Meets Conversational Search. MMM (4) 2024: 347-355 - Suchana Datta, Debasis Ganguly, Sean MacAvaney, Derek Greene:
A Deep Learning Approach for Selective Relevance Feedback. CoRR abs/2401.11198 (2024) - Chuting Yu, Hang Li, Ahmed Mourad, Bevan Koopman, Guido Zuccon:
TPRF: A Transformer-based Pseudo-Relevance Feedback Model for Efficient and Effective Retrieval. CoRR abs/2401.13509 (2024) - 2023
- Sanjit Kumar Saha:
A relevance feedback approach for social network clustering in the context of triangle inequality violations. Brandenburg University of Technology, Cottbus, Germany, BTU Cottbus - Senftenberg 2023 - Homayoun Rastegar, Davar Giveki:
Designing a new deep convolutional neural network for content-based image retrieval with relevance feedback. Comput. Electr. Eng. 106: 108593 (2023) - Aditya Jayasimha, Rahul Mudambi, S. Sowmya Kamath:
Nature-inspired query optimisation models for medical information retrieval with relevance feedback. Int. J. Adv. Intell. Paradigms 26(1): 43-59 (2023) - Min Pan, Quanli Pei, Yu Liu, Teng Li, Ellen Anne Huang, Junmei Wang, Jimmy Xiangji Huang:
SPRF: A semantic Pseudo-relevance Feedback enhancement for information retrieval via ConceptNet. Knowl. Based Syst. 274: 110602 (2023) - Soraia M. Alarcão, Vânia Mendonça, Carolina Maruta, Manuel J. Fonseca:
ExpertosLF: dynamic late fusion of CBIR systems using online learning with relevance feedback. Multim. Tools Appl. 82(8): 11619-11661 (2023) - Ladislav Peska, Marta Vomlelová, Patrik Veselý, Vít Skrhak, Jakub Lokoc:
Evaluating a Bayesian-like relevance feedback model with text-to-image search initialization. Multim. Tools Appl. 82(15): 22305-22341 (2023) - Ahmad Idrissi-Yaghir, Henning Schäfer, Nadja Bauer, Christoph M. Friedrich:
Domain Adaptation of Transformer-Based Models Using Unlabeled Data for Relevance and Polarity Classification of German Customer Feedback. SN Comput. Sci. 4(2): 142 (2023) - Hang Li, Ahmed Mourad, Shengyao Zhuang, Bevan Koopman, Guido Zuccon:
Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls. ACM Trans. Inf. Syst. 41(3): 62:1-62:40 (2023) - Yuncong Yu, Dylan Kruyff, Jiao Jiao, Tim Becker, Michael Behrisch:
PSEUDo: Interactive Pattern Search in Multivariate Time Series with Locality-Sensitive Hashing and Relevance Feedback. IEEE Trans. Vis. Comput. Graph. 29(1): 33-42 (2023) - Xiao Wang, Craig MacDonald, Nicola Tonellotto, Iadh Ounis:
ColBERT-PRF: Semantic Pseudo-Relevance Feedback for Dense Passage and Document Retrieval. ACM Trans. Web 17(1): 3:1-3:39 (2023) - Omar Shahbaz Khan, Björn Þór Jónsson:
User Relevance Feedback and Novices: Anecdotes from Exquisitor's Participation in Interactive Retrieval Competitions. CBMI 2023: 173-177 - Thomas Jänich, Graham McDonald, Iadh Ounis:
ColBERT-FairPRF: Towards Fair Pseudo-Relevance Feedback in Dense Retrieval. ECIR (2) 2023: 457-465 - Yujia Zhou, Zhicheng Dou, Ji-Rong Wen:
Enhancing Generative Retrieval with Reinforcement Learning from Relevance Feedback. EMNLP 2023: 12481-12490 - Hengran Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
From Relevance to Utility: Evidence Retrieval with Feedback for Fact Verification. EMNLP (Findings) 2023: 6373-6384 - Eilon Sheetrit, Fiana Raiber, Oren Kurland:
Entity-Based Relevance Feedback for Document Retrieval. ICTIR 2023: 177-187 - Yaxiong Wu, Craig Macdonald, Iadh Ounis:
Goal-Oriented Multi-Modal Interactive Recommendation with Verbal and Non-Verbal Relevance Feedback. RecSys 2023: 362-373 - Iain Mackie, Shubham Chatterjee, Jeffrey Dalton:
Generative Relevance Feedback with Large Language Models. SIGIR 2023: 2026-2031 - Xueru Wen, Xiaoyang Chen, Xuanang Chen, Ben He, Le Sun:
Offline Pseudo Relevance Feedback for Efficient and Effective Single-pass Dense Retrieval. SIGIR 2023: 2209-2214 - Omar Shahbaz Khan, Martin Aumüller, Björn Þór Jónsson:
Suitability of Nearest Neighbour Indexes for Multimedia Relevance Feedback. SISAP 2023: 133-147 - Zhenyang Zhu, Katsuhito Moritake, Kenji Kashiwagi, Masahiro Toyoura, Kentaro Go, Issei Fujishiro, Xiaoyang Mao:
Metamorphopsia Insepction System Based on Relevance Feedback. SMC 2023: 4667-4674 - Devansh Gupta, Aditya Saini, Sarthak Bhagat, Shagun Uppal, Rishi Raj Jain, Drishti Bhasin, Ponnurangam Kumaraguru, Rajiv Ratn Shah:
A Suspect Identification Framework using Contrastive Relevance Feedback. WACV 2023: 4350-4358 - Iain Mackie, Shubham Chatterjee, Jeffrey Dalton:
Generative Relevance Feedback with Large Language Models. CoRR abs/2304.13157 (2023) - Revanth Gangi Reddy, Pradeep Dasigi, Md. Arafat Sultan, Arman Cohan, Avirup Sil, Heng Ji, Hannaneh Hajishirzi:
Inference-time Re-ranker Relevance Feedback for Neural Information Retrieval. CoRR abs/2305.11744 (2023) - Sean MacAvaney, Xi Wang:
Online Distillation for Pseudo-Relevance Feedback. CoRR abs/2306.09657 (2023) - Xueru Wen, Xiaoyang Chen, Xuanang Chen, Ben He, Le Sun:
Offline Pseudo Relevance Feedback for Efficient and Effective Single-pass Dense Retrieval. CoRR abs/2308.10191 (2023) - Hengran Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
From Relevance to Utility: Evidence Retrieval with Feedback for Fact Verification. CoRR abs/2310.11675 (2023)
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