posted by organizer: boratto || 22103 views || tracked by 22 users: [display]

AdCHIReS 2017 : Special Issue on Advances in Computer-Human Interaction for Recommender Systems


When N/A
Where N/A
Submission Deadline Apr 30, 2017
Notification Due Nov 15, 2017
Final Version Due Dec 15, 2017
Categories    human computer interaction   recommender systems   data mining

Call For Papers

Recommender Systems produce suggestions to users for items or contents based on user profiles, users’ explicit or implicit feedback, which the users might have not originally considered but might be of interest to them. Such recommendations are produced by analyzing what they previously consumed (bought, watched, or listened) or by the identification of similarities with other users. Such an explicit feedback is usually an expression of extreme ratings, either positive or negative. In the middle of the range stays a set of different actions in the interface that might be interpreted as feedback, but that needs to be collected implicitly. Even if the literature provides different techniques for collecting implicit feedbacks, they are usually tailored to specific types of applications.
From the user's point of view Recommender Systems remain a black box that suggests objects or contents, but the users hardly understand why some items are included in the suggestion list. Providing the users with an understandable representation of how the system represents them and allowing them to control the recommendation process would lead to benefits in how the recommendations are perceived and in the capability of the system to be persuasive. Such transparency is one of the multiple (and usually conflicting) requirements of Recommender Systems.
Beyond the classical engineering of Recommender Systems focusing on data processing, filtering and sorting, the engineering aspects should also cover aspects related to how users interact with it, including how to input data, how to define and evolve the user model, how to present the information to the users and how the users can manipulate that information. Such engineering processes might benefit from practice in specific areas, such as web configurators (which guide the users in the inspection of possible product variants) and safety critical interactive systems (where predictability and consistency over executions are prerequisite to certification). In order to deploy Recommender Systems in broader contexts, there is a need for structured and systematic approaches to engineer such complex computing systems.
This special issue solicits novel papers on a broad range of topics, including, but not limited to:
- Critical systems
- 3D, Augmented and Virtual Reality
- End User Development
- Other novel applications
- Differences and analogies between UIs for recommender systems, expert systems, and configuration systems;
- Identifying and managing conflicts between the properties of the UI and properties of the Recommender Systems;
- Transparency of the recommendation process and creation of interactive handles for supporting user’s control;
- New interactions for consuming and guiding recommendation (gestures, tangible interaction etc.);
- Analysis of feedback based on small exposures on the item itself: photos, trailers etc.
- Exploit the user interaction to enrich recommendation models based on latent factors;
- Real time aspects of recommendations: view updates, user’s awareness, balance between recommendation, and task focus/goal, worst case execution time analysis;
- Recommendation effectiveness beyond business focused metrics: how to evaluate them, suitable classifiers;
- Creating forms of elicitation and enabling user control to improve the perception of the recommendations.
- Software architectures for usable recommender systems;
- Guidelines for building trust in recommendations;
- Solutions for enabling users and systems to work with large data;
- Representation of performance issues.

- Manuscript submission due: April 30, 2017
- First round decision made: July 31, 2017
- Revised manuscript due: September 30, 2017
- Final decision made: November 15, 2017
- Final paper due: December 15, 2017

Paper submissions must conform to the International Journal of Human-Computer Studies format guidelines (
Manuscripts must be submitted to the Evise online submission system, available at (select option SI:AdCHIReS in the article type section).
Submissions to this Special Issue must represent original material that has been neither submitted to, nor published in, any other journal. A submission based on one or more papers that appeared elsewhere should have at least 50% of novel valuable content that extends the original work (the original papers should be referenced and the novel contributions should be clearly stated in the submitted paper).

For enquires regarding the special issue, please send an email to both the guest editors at and

Lucio Davide Spano (University of Cagliari, Italy)
Ludovico Boratto (Eurecat, Spain)

Related Resources

Smart Cities 2022   Smart Cities: Enabling Technologies and Applications
MLDM 2023   18th International Conference on Machine Learning and Data Mining
IEEE-AIMLMI 2022   2022 Asia Conference on Advanced Artificial Intelligence, Machine Learning and Man-machine Interaction (AIMLMI 2022)
ICMLA 2022   IEEE International conference on Machine Learning and Applications
CETA--Ei 2023   2023 2nd International Conference on Computer Engineering, Technologies and Applications (CETA 2023)
WSDM 2023   Web Search and Data Mining
SCIS-ISIS 2022   Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems
ACM-Ei/Scopus-ITNLP 2022   2022 2nd International Conference on Information Technology and Natural Language Processing (ITNLP 2022) -EI Compendex
ICMLT 2023   2023 8th International Conference on Machine Learning Technologies (ICMLT 2023)
ADMA 2022   18th International Conference on Advanced Data Mining and Applications