In this paper we describe a personalised summarization facility to maximise the density of relevance of information sent by the system. The selection uses a ...
In this paper we describe a personalised summarization facility to maximise the density of relevance of information sent by the system. The selection uses a ...
In this paper we defend the use of a combined approach that integrates: an enriched user-model that the user can customise to capture his long-term interests ...
In this paper we defend the use of a combined approach that integrates: an enriched user-model that the user can customise to capture his long-term interests.
Sep 8, 2005 · Personalisation in news delivery systems: Item summarization and multi-tier item selection using relevance feedback. Article type: Research ...
Jun 20, 2024 · AI-driven personalisation could be a game changer for news content. Here are several current use cases from around the world.
Missing: Item Summarization
In this paper we defend the use of a personalized summarization facility to maximize the density of relevance of selections sent by a personalized information ...
We demonstrate that offline summarization via LLMs and runtime retrieval enables better performance for personalization on a range of tasks under practical ...
Missing: Item | Show results with:Item
Dec 20, 2022 · A sentiment-debiasing method based on a decomposed adversarial learning framework is proposed, which can reduce 97.3% of sentiment bias with only 2.9% accuracy ...
Personalisation in news delivery systems: Item summarization and multi-tier item selection using relevance feedback · Díaz, A. · Gervás, P.