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Report on the SIGIR 2013 workshop on benchmarking adaptive retrieval and recommender systems

Pablo Castells, Frank Hopfgartner, Alan Said, Mounia Lalmas
2013 SIGIR Forum  
Acknowledgements We would like to thank the organisers of SIGIR for providing a venue for this workshop.  ...  Further, we acknowledge the efforts of the members of the programme committee and additional reviewers, including: Dyaa Albakour (  ...  the goals and task models of real applications is still a prominent open issue. 1 The SIGIR Workshop on Benchmarking Adaptive Retrieval and Recommender Systems (BARS) 1 was intended to be a platform  ... 
doi:10.1145/2568388.2568398 fatcat:el3v6kg5obhzzjvsyul5g4e6bi

A cross-benchmark comparison of 87 learning to rank methods

Niek Tax, Sander Bockting, Djoerd Hiemstra
2015 Information Processing & Management  
New learning to rank methods are generally evaluated on benchmark test collections.  ...  In this paper we propose a way to compare learning to rank methods based on a sparse set of evaluation results on a set of benchmark datasets.  ...  LETOR: Benchmark dataset for research on learning to rank for information retrieval. In Proceedings of the SIGIR 2007 workshop on learning to rank for information retrieval, pages 3-10. McNee, S.  ... 
doi:10.1016/j.ipm.2015.07.002 fatcat:vityxuoyxzfezhdizq7sfofwka

CLEF 2014

Linda Cappellato, Mark Sanderson, Elaine Toms, Robert Villa, Paul Clough, Nicola Ferro, Mark Hall, Martin Halvey, Allan Hanbury, Evangelos Kanoulas, Wessel Kraaij, Mihai Lupu
2014 SIGIR Forum  
and the local organizing committee.  ...  10 and the EU-funded Kreshmoi 11 .  ...  In 2010, now a mature and well-respected evaluation forum, it expanded to include a complementary peer-reviewed conference for reporting the evaluation of information access and retrieval systems regardless  ... 
doi:10.1145/2701583.2701589 fatcat:oellkoy6zfehfg7hgyaumipvzy

Extracting, Mining and Predicting Users' Interests from Social Media

Fattane Zarrinkalam, Stefano Faralli, Guangyuan Piao, Ebrahim Bagheri
2020 Foundations and Trends in Information Retrieval  
In: Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval. SIGIR '14.  ...  " Cross-system user modeling and personalization on the social web". User Model. User-Adapt. Interact. 23(2-3): 169-209. Adomavicius, G. and A. Tuzhilin (2005).  ... 
doi:10.1561/1500000078 fatcat:yarpz425bjbfjfihzs6y2mnere

CLEF 15th Birthday

Nicola Ferro
2014 SIGIR Forum  
2014 marks the 15 th birthday for CLEF, an evaluation campaign activity which has applied the Cranfield evaluation paradigm to the testing of multilingual and multimodal information access systems in Europe  ...  This paper provides a summary of the motivations which led to the establishment of CLEF, and a description of how it has evolved over the years, the major achievements, and what we see as the next challenges  ...  Acknowledgements CLEF would not be possible without all the effort, enthusiasm, and passion of its community: lab organizers, lab participants, and attendees are the core and the real success of CLEF.  ... 
doi:10.1145/2701583.2701587 fatcat:exd4r3qlznhqhm77efsyof5gee

Benchmarking News Recommendations in a Living Lab [chapter]

Frank Hopfgartner, Benjamin Kille, Andreas Lommatzsch, Till Plumbaum, Torben Brodt, Tobias Heintz
2014 Lecture Notes in Computer Science  
Consequently, laboratory bias on their behavior can be neglected. We outline the living lab scenario and the experimental setup of the two benchmarking events.  ...  In this paper, we introduce a living lab on news recommendation in real time.  ...  Acknowledgement The work leading to these results has received funding (or partial funding) from the Central Innovation Programme for SMEs of the German Federal Ministry for Economic Affairs and Energy  ... 
doi:10.1007/978-3-319-11382-1_21 fatcat:2a25ii4wpbeldb27jnax5ewbzq

Conversational Document Prediction to Assist Customer Care Agents [article]

Jatin Ganhotra, Haggai Roitman, Doron Cohen, Nathaniel Mills, Chulaka Gunasekara, Yosi Mass, Sachindra Joshi, Luis Lastras, David Konopnicki
2020 arXiv   pre-print
Using this dataset and two others, we investigate state-of-the art deep learning (DL) and information retrieval (IR) models for the task.  ...  Additionally, we analyze the practicality of such systems in terms of inference time complexity. Our show that an hybrid IR+DL approach provides the best of both worlds.  ...  In Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 475-484. Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013.  ... 
arXiv:2010.02305v1 fatcat:7n2wzxmta5gzfmnwofj5zkrju4

Neural Approaches to Conversational AI

Jianfeng Gao, Michel Galley, Lihong Li
2019 Foundations and Trends in Information Retrieval  
"Policy Committee for Adaptation in Multi-domain Spoken Dialogue Systems". In: Proceedings of the 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU). 806-812. Guu, K., J.  ...  Young. 2013. "On-line Policy Optimisation of Bayesian Spoken Dialogue Systems via Human Interaction".  ... 
doi:10.1561/1500000074 fatcat:5ou22zmnq5ghjnkqmbxbfkurhu

Evaluation in Music Information Retrieval

Julián Urbano, Markus Schedl, Xavier Serra
2013 Journal of Intelligent Information Systems  
The field of Music Information Retrieval has always acknowledged the need for rigorous scientific evaluations, and several efforts have set out to develop and provide the infrastructure, technology and  ...  Based on a formalization of the evaluation process, this paper presents a survey of past evaluation work in the context of Text IR, from the point of view of validity, reliability and efficiency of the  ...  , Multimedia IR, Signal Processing and Recommendation Systems.  ... 
doi:10.1007/s10844-013-0249-4 fatcat:uslx5lxeyrge7b5utjv75yxk3q

Diversification in Session-based News Recommender Systems [article]

Alireza Gharahighehi, Celine Vens
2021 arXiv   pre-print
The filter bubble phenomenon is a common concern in news recommendation systems and it occurs when the system narrows the information and deprives users of diverse information.  ...  The results of applying the proposed scenarios show that these diversification scenarios improve the diversity measures in these session-based recommender systems based on four news datasets.  ...  In: Proc. of the 1st International Workshop on Novelty and Diversity in Recommender Systems (DiveRS 2011), pp. 3–10. Citeseer (2011) 2.  ... 
arXiv:2102.03265v1 fatcat:bzougwfvwvflheogd5x55m5ai4

Prefix-to-SQL: Text-to-SQL Generation from Incomplete User Questions [article]

Naihao Deng, Shuaichen Chang, Peng Shi, Tao Yu, Rui Zhang
2021 arXiv   pre-print
We construct a new benchmark called PAGSAS that contains 124K user question prefixes and the intended SQL for 5 sub-tasks Advising, GeoQuery, Scholar, ATIS, and Spider.  ...  and predicts the intended SQL.  ...  Acknowledgment We would like to thank Yulong Chen for his valuable advice on the abstract and introduction.  ... 
arXiv:2109.13066v3 fatcat:tq73lsx46bdw5gdndwftdagore

Dependencies: Formalising Semantic Catenae for Information Retrieval [article]

Christina Lioma
2017 arXiv   pre-print
This dissertation further reflects on present and future problems with the current research paradigm in this area, and makes recommendations on how to overcome them.  ...  The complexity and granularity of semantic processing that can be realised is constrained by the mathematical and computational robustness, expressiveness, and rigour of the tools used.  ...  On an empirical level it yields the highest performance reported up to the date of publication for this task and benchmarks, outperforming the previous highly tuned supervised deep learning state of the  ... 
arXiv:1709.03742v1 fatcat:4fdrnsmwdnb4pe37b6ritmvnme

Improving Accountability in Recommender Systems Research Through Reproducibility [article]

Alejandro Bellogín, Alan Said
2021 arXiv   pre-print
It allows the reproduction of the works of others, and, as a consequence, to fully trust the reported claims and results.  ...  In this work, we argue that, by facilitating reproducibility of recommender systems experimentation, we indirectly address the issues of accountability and transparency in recommender systems research  ...  The authors thank the reviewers for their thoughtful comments and suggestions.  ... 
arXiv:2102.00482v1 fatcat:rflwqhxx3fduxfikzdgqza2db4

Expert Finding Systems: A Systematic Review

Omayma Husain, Naomie Salim, Rose Alinda Alias, Samah Abdelsalam, Alzubair Hassan
2019 Applied Sciences  
This study analyses the domains of expert finding systems, expertise sources, methods, and datasets. It also discusses the differences between expertise retrieval and seeking.  ...  There are several expert finding systems, which aim to solve the data overload problem and often recommend experts who can fulfil the users' information needs.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app9204250 fatcat:scg4q6zzqrewzo5qqf3h7pgpv4

Introduction to the IEEE Transactions on Big Data

Qiang Yang
2015 IEEE Transactions on Big Data  
The journal will serve as a forum for the Big Data community to exchange ideas and report its successes.  ...  Breakthroughs in this area include new algorithms, methodologies, systems and applications for knowledge discovery, understanding and applications based on the Big Data.  ...  In 2012, he launched the workshop series on Big Data Benchmarking, which has engendered new activity in industry standard benchmarks for Big Data, including creation of the TPCx-HS standard; formation  ... 
doi:10.1109/tbdata.2015.2469391 fatcat:s2b5lshffbglpfyoaexfxw6axm
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