Titlebook: Advances in Information Retrieval; 46th European Confer Nazli Goharian,Nicola Tonellotto,Iadh Ounis Conference proceedings 2024 The Editor(

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Ukrainian Greek Catholics, Past and Presenty directly engaging with users in a conversational manner to learn their current and fine-grained preferences, a CRS can quickly derive recommendations that are relevant and justifiable. However, existing CRSs typically rely on a centralized training and deployment process, which involves collecting

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Churches in the Ukrainian Crisisrecommendation quality for many long-tail users. In this paper, we identify two root causes of this mainstream bias: (i) discrepancy modeling, whereby CF algorithms focus on modeling mainstream users while neglecting niche users with unique preferences; and (ii) unsynchronized learning, where niche

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https://doi.org/10.1057/9781137386380s and conditions of the few vendors. The public availability of the large-scale Common Crawl does not alleviate the situation, as it is often cheaper to crawl and index only a smaller collection focused on a downstream application scenario than to build and maintain an index for a general collection

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https://doi.org/10.1057/9781137386380ys a form of Spoken Conversational Search to facilitate the clarification of children’s interest (their information need) in specific videos from the archive. Children are typically insufficiently supported in this process by common search technologies such as search-bar and keyboard, or one-shot vo

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