-------- Forwarded Message -------- Subject: [AISWorld] Call for Papers - Special Issue "Information Retrieval, Recommender Systems and Adaptive Systems" Date: Thu, 15 Jul 2021 13:13:27 +0200 From: Marco Polignano marco.polignano@uniba.it

******************************************************************************************************

Apologies if you received multiple cross-postings of this CFP.

******************************************************************************************************

/Call for Papers/ *Special Issue: **Information Retrieval, Recommender Systems and Adaptive Systems* Website: https://www.mdpi.com/journal/information/special_issues/info_retrieval_recom... Deadline for manuscript submissions: *30 November 2021*

******************************************************************************************************

Dear Colleagues, The growing amount of data produced daily has made their exploration impossible without using search and filtering tools and strategies. Indeed, the end user often spends hours searching on the Web for elements compliant with their needs, thereby facing a complex and time-consuming task. This scenario underlines the ever more current need to create systems to support the end user in the search, filtering, and consumption of such huge amounts of information. In this regard, adaptive and personalized systems play an increasingly important role in our daily lives as we more and more rely on systems that adapt their behavior based on our preferences and needs and support us in a wide range of heterogeneous decision-making tasks. In such regards, Machine Learning approaches have been recently demonstrated effective to process heterogeneous information providing novel solution not only for the task of content analysis, but also for their retrieval and recommendation. The evolution of such approaches has made it possible to discover new threats, limits, and challenges that needs our attention. The cost of performances, the development of strategies to correctly evaluate those algorithms, and how to exploit the context of usage and psychological and emotional reactions are only few of the possible new research trends. This Special Issue on *information retrieval, recommender systems, and adaptive systems* is aimed at industrial and academic researchers who apply non-traditional methods to tasks related with the management of huge amounts of information.

I invite you and your colleagues to submit a contribution for this special issue in which some of the leading experts will describe their work, ideas and findings. Your paper will be published after our standard peer-review procedure, in our open access journal Information.

The official deadline for submission is *30 November 2021*. However, you may send your manuscript at any time before the deadline. We can organize a very fast peer-review. If accepted, the paper will be published very soon.

In case you need any further information, please never hesitate to contact us (myself or the Editorial Office: information@mdpi.com). Thank you very much in advance for your kind support and cooperation.

We look forward to collaborating with you and to hearing back from you soon.

Best Regards, Editors: Dr. Marco Polignano and Prof. Giovanni Semeraro

_______________________________________________ AISWorld mailing list AISWorld@lists.aisnet.org