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Leveraging Large Language Models for Sequential Recommendation
, 2023 Sequential recommendation problems have received increasing attention in research during the past few years, leading to the inception of a large variety of algorithmic approaches.
Fragkoulis, Marios +5 more
core +1 more source
Methods of Document Retrieval for Fact Checking [PDF]
, 2021 Tato práce se zabývá přístupy pro vyhledávání dokumentů. Primárně se zaměřuje na metody hlubokého vyhledávání s využitím jazykových modelů a jejich srovnání s tradičními TF-IDF a BM25 modely.
Martin Rýpar
core
Retrieving Supporting Evidence for Generative Question Answering
, 2023 Current large language models (LLMs) can exhibit near-human levels of performance on many natural language-based tasks, including open-domain question answering.
Arabzadeh, Negar +2 more
core +1 more source
Large scale citation matching using Apache Hadoop
, 2013 During the process of citation matching links from bibliography entries to referenced publications are created. Such links are indicators of topical similarity between linked texts, are used in assessing the impact of the referenced document and improve ...
Bolikowski, Łukasz +2 more
core +1 more source
Talk the Walk: Synthetic Data Generation for Conversational Music Recommendation
, 2023 Recommendation systems are ubiquitous yet often difficult for users to control and adjust when recommendation quality is poor. This has motivated the development of conversational recommendation systems (CRSs), with control over recommendations provided ...
Balog, Krisztian +6 more
core
Bridging Dense and Sparse Maximum Inner Product Search
, 2023 Maximum inner product search (MIPS) over dense and sparse vectors have progressed independently in a bifurcated literature for decades; the latter is better known as top-$k$ retrieval in Information Retrieval. This duality exists because sparse and dense
Bruch, Sebastian +3 more
core
Factory of realities: on the emergence of virtual spatiotemporal structures
, 2016 The ubiquitous nature of modern Information Retrieval and Virtual World give rise to new realities. To what extent are these "realities" real? Which "physics" should be applied to quantitatively describe them? In this essay I dwell on few examples.
Zapatrin, Roman
core +1 more source
Investigating Retrieval Method Selection with Axiomatic Features [PDF]
, 2019 We consider algorithm selection in the context of ad-hoc information retrieval. Given a query and a pair of retrieval methods, we propose a meta-learner that predicts how to combine the methods' relevance scores into an overall relevance score.
Arora, S., Yates, A.
core +1 more source
Mixed-Initiative Interaction = Mixed Computation
, 2001 We show that partial evaluation can be usefully viewed as a programming model for realizing mixed-initiative functionality in interactive applications. Mixed-initiative interaction between two participants is one where the parties can take turns at any ...
Capra, Robert +2 more
core +4 more sources
Large Language Models as Zero-Shot Conversational Recommenders
, 2023 In this paper, we present empirical studies on conversational recommendation tasks using representative large language models in a zero-shot setting with three primary contributions.
Feng, Yesu +8 more
core +1 more source