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- research-articleAugust 2024
Effective, Efficient, and Robust Learning Algorithms for Ranking and Classification
Over the past decade, machine learning has gained significant traction and is now deployed across diverse domains, including information systems, finance, healthcare, cybersecurity, autonomous driving, and more. As machine learning finds applications in ...
- research-articleAugust 2024
Graph Neural Networks for Recommendation Leveraging Multimodal Information
Recommender systems act as filtering algorithms to provide users with items that might meet their interests according to the expressed preferences and items' characteristics. As of today, the collaborative filtering paradigm, along with deep learning ...
- research-articleAugust 2024
Report on the 7th International Workshop on Narrative Extraction from Texts (Text2Story 2024) at ECIR 2024
- Ricardo Campos,
- Alípio M. Jorge,
- Adam Jatowt,
- Sumit Bhatia,
- Marina Litvak,
- João Paulo Cordeiro,
- Conceição Rocha,
- Hugo Sousa,
- Behrooz Mansouri
The Seventh International Workshop on Narrative Extraction from Texts (Text2Story'24) was held on March 24th, 2024, in conjunction with the 46th European Conference on Information Retrieval (ECIR 2024) in Glasgow, Scotland. Over the day, more than 50 ...
- research-articleAugust 2024
Report on the 8th Workshop on Search-Oriented Conversational Artificial Intelligence (SCAI 2024) at CHIIR 2024
- Alexander Frummet,
- Andrea Papenmeier,
- Maik Fröbe,
- Johannes Kiesel,
- Vaibhav Adlakha,
- Norbert Braunschweiler,
- Mateusz Dubiel,
- Satanu Ghosh,
- Marcel Gohsen,
- Christin Kreutz,
- Milad Momeni,
- Markus Nilles,
- Sachin Pathiyan Cherumanal,
- Abbas Pirmoradi,
- Paul Thomas,
- Johanne R. Trippas,
- Ines Zelch,
- Oleg Zendel
Conversational Agents are increasingly integrated into our daily routines, assisting us with various tasks, from simple commands such as scheduling events to more complex conversational search interactions. Such conversational search systems are ...
- research-articleAugust 2024
Shaping the Future of Endangered and Low-Resource Languages---Our Role in the Age of LLMs: A Keynote at ECIR 2024
Isidore of Seville is credited with the adage that it is language that gives birth to a people, and not the other way around, underlining the profound role played by language in the formation of cultural and social identity. Today, of the more than 7100 ...
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- research-articleJanuary 2024
Knowledge-based Visual Question Answering about Named Entities
ACM SIGIR Forum (SIGIR), Volume 57, Issue 2Article No.: 25, Pages 1–2https://doi.org/10.1145/3642979.3643009This thesis is positioned at the intersection of several research fields, Natural Language Processing, Information Retrieval (IR) and Computer Vision, which have unified around representation learning and pre-training methods. We have defined and studied ...
- research-articleJanuary 2024
Rethinking E-Commerce Search
ACM SIGIR Forum (SIGIR), Volume 57, Issue 2Article No.: 24, Pages 1–19https://doi.org/10.1145/3642979.3643007E-commerce search and recommendation usually operate on structured data such as product catalogs and taxonomies. However, creating better search and recommendation systems often requires a large variety of unstructured data including customer reviews and ...
- research-articleJanuary 2024
Large Search Model: Redefining Search Stack in the Era of LLMs
ACM SIGIR Forum (SIGIR), Volume 57, Issue 2Article No.: 23, Pages 1–16https://doi.org/10.1145/3642979.3643006Modern search engines are built on a stack of different components, including query understanding, retrieval, multi-stage ranking, and question answering, among others. These components are often optimized and deployed independently. In this paper, we ...
- research-articleJanuary 2024
Report on the 14th Conference and Labs of the Evaluation Forum (CLEF 2023): Experimental IR Meets Multilinguality, Multimodality, and Interaction
- Mohammad Aliannejadi,
- Avi Arampatzis,
- Guglielmo Faggioli,
- Nicola Ferro,
- Anastasia Giachanou,
- Evangelos Kanoulas,
- Dan Li,
- Theodora Tsikrika,
- Michalis Vlachos,
- Stefanos Vrochidis
ACM SIGIR Forum (SIGIR), Volume 57, Issue 2Article No.: 16, Pages 1–16https://doi.org/10.1145/3642979.3642998This is a report on the fourteenth edition of the Conference and Labs of the Evaluation Forum (CLEF 2023), held on September 18--21, 2023, in Thessaloniki, Greece. CLEF was a four-day hybrid event combining a conference and an evaluation forum. The ...
- research-articleJanuary 2024
Report on the 1st Workshop on Implicit Author Characterization from Texts for Search and Retrieval (IACT 2023) at SIGIR 2023
ACM SIGIR Forum (SIGIR), Volume 57, Issue 2Article No.: 12, Pages 1–6https://doi.org/10.1145/3642979.3642994The first edition of the International Workshop on Implicit Author Characterization from Texts for Search and Retrieval (IACT'23) was held on July 27th, 2023, in conjunction with the 46th International ACM SIGIR Conference on Research and Development in ...
- research-articleJanuary 2024
Report on the 13th Italian Information Retrieval Workshop (IIR 2023)
ACM SIGIR Forum (SIGIR), Volume 57, Issue 2Article No.: 8, Pages 1–12https://doi.org/10.1145/3642979.3642990The 13th Italian Information Retrieval Workshop is the thirteenth edition of the annual conference of the Italian information retrieval and recommender systems communities. The two days of the conference gathered interesting studies and research work on ...
- research-articleJanuary 2024
Report on the 1st Symposium on NLP for Social: Good (NSG 2023)
ACM SIGIR Forum (SIGIR), Volume 57, Issue 2Article No.: 7, Pages 1–9https://doi.org/10.1145/3642979.3642989Artificial intelligence (AI), specifically, Natural Language Processing (NLP) is being hailed as a new breeding ground for immense innovation potential. Researchers believe that NLP-based technologies could help to solve societal issues such as equality ...
- research-articleJanuary 2024
Towards Generative Search and Recommendation: A keynote at RecSys 2023
ACM SIGIR Forum (SIGIR), Volume 57, Issue 2Article No.: 5, Pages 1–14https://doi.org/10.1145/3642979.3642986The emergence of large language models (LLM's), especially ChatGPT, has for the first time make AI known to almost everyone and affected every facet of our society. The LLMs have the potential to revolutionize the ways we seek and consume information. ...
- research-articleJanuary 2024
Tasks, Copilots, and the Future of Search: A Keynote at SIGIR 2023
ACM SIGIR Forum (SIGIR), Volume 57, Issue 2Article No.: 4, Pages 1–8https://doi.org/10.1145/3642979.3642985Search is far from being a solved problem. While search engines may cope well with simple tasks, searchers and systems struggle as task complexity increases. Task is central to the search process, motivating the search and driving search behavior. ...
- research-articleJanuary 2024
Evaluating Parrots and Sociopathic Liars: A keynote at ICTIR 2023
ACM SIGIR Forum (SIGIR), Volume 57, Issue 2Article No.: 3, Pages 1–7https://doi.org/10.1145/3642979.3642984At ICTIR 2023, which took place on July 23, 2023 in Taipei, I talked about the dark sides of the Large Language Model (LLM) era, and a tentative framework for auditing LLM-based conversational search systems to protect the users from undesirable system ...
- research-articleDecember 2023
Adversarial Machine Learning in Recommender Systems
ACM SIGIR Forum (SIGIR), Volume 57, Issue 1Article No.: 14, Pages 1–2https://doi.org/10.1145/3636341.3636360Recommender systems are ubiquitous. Our digital lives are influenced by their use when, for instance, we select the news to read, the product to buy, the friend to connect with, and the movie to watch. While enormous academic research efforts have been ...
- research-articleDecember 2023
A Common Misassumption in Online Experiments with Machine Learning Models
ACM SIGIR Forum (SIGIR), Volume 57, Issue 1Article No.: 13, Pages 1–9https://doi.org/10.1145/3636341.3636358Online experiments such as Randomised Controlled Trials (RCTs) or A/B-tests are the bread and butter of modern platforms on the web. They are conducted continuously to allow platforms to estimate the causal effect of replacing system variant "A" with ...
- research-articleDecember 2023
Report on the 6th International Workshop on Narrative Extraction from Texts (Text2Story 2023) at ECIR 2023
- Ricardo Campos,
- Alípio M. Jorge,
- Adam Jatowt,
- Sumit Bhatia,
- Marina Litvak,
- João Paulo Cordeiro,
- Conceição Rocha,
- Hugo Sousa,
- Behrooz Mansouri
ACM SIGIR Forum (SIGIR), Volume 57, Issue 1Article No.: 10, Pages 1–12https://doi.org/10.1145/3636341.3636354The Sixth International Workshop on Narrative Extraction from Texts (Text2Story'23) was held on April 2nd, 2023, in conjunction with the 45th European Conference on Information Retrieval (ECIR 2023) in Dublin, Ireland. Continuing the tradition of past ...
- research-articleDecember 2023
Ensemble Learning Methods for Dirty Data: A Keynote at CIKM 2022
ACM SIGIR Forum (SIGIR), Volume 57, Issue 1Article No.: 3, Pages 1–12https://doi.org/10.1145/3636341.3636346Neural network ensemble is a collaborative learning paradigm that utilizes multiple neural networks to solve a complex learning problem. Constructing predictive models with high generalization performance is an important and yet most challenging goal ...
- research-articleMarch 2022
Studies in aspects of peer review: novelty, scope, research lineage, review significance, and peer review outcome
ACM SIGIR Forum (SIGIR), Volume 55, Issue 2Article No.: 26, Pages 1–2https://doi.org/10.1145/3527546.3527577The process of peer-review is considered as the sentinel of science in scholarly communications. However, with the deluge of research articles and the overload of scholarly information, it is increasingly becoming difficult for humans to keep up with ...