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User Modeling, Personalization & Engagement

Home / Research / Work Package 2

About us

Home / Research / Work Package 2

/ Introduction

/ Introduction

/ Introduction

Recommendation enables media applications to support users in discovering additional media content (e.g., news articles, videos) and to keep consumers engaged. The main challenge in this context is that the recommendation approaches has little potential for the discovery of new types of content for the consumer and they might cause the popular media content becoming even more popular. Such problems can ultimately lead to filter bubbles, echo chambers or group-think conditions. WP2 will tackle these undesired phenomena which are likely originated from the current personalization and recommendation approaches.

This will be done by computing responsible (predictive) models for a fair recommendation that will enhance user engagement through novel mechanisms by (i) providing explanations of recommendations to users (transparency), (ii) expanding recommendations to cover a rich spectrum of media content (diversity), (iii) ensuring the niche or minority content is suggested to users (fairness). 

The outcome will be novel recommendation algorithms taking into account multiple competing objectives (e.g., relevance vs. information balance). In doing so, WP2 will address the following main research questions:  To what extent can we effectively and fairly model online user behavior and predict this behavior? To what extent can we personalize and engage users online to efficiently keep them informed, and at the same time do this responsibly?  

Objective: To develop user modeling and personalisation techniques capable of effectively eliciting user preferences in order to enchance the user experience when interacting with media content while taking into account important competing factors (e.g., business values, societal values, individual values). 

Recommendation enables media applications to support users in discovering additional media content (e.g., news articles, videos) and to keep consumers engaged. The main challenge in this context is that the recommendation approaches has little potential for the discovery of new types of content for the consumer and they might cause the popular media content becoming even more popular. Such problems can ultimately lead to filter bubbles, echo chambers or group-think conditions. WP2 will tackle these undesired phenomena which are likely originated from the current personalization and recommendation approaches.

This will be done by computing responsible (predictive) models for a fair recommendation that will enhance user engagement through novel mechanisms by (i) providing explanations of recommendations to users (transparency), (ii) expanding recommendations to cover a rich spectrum of media content (diversity), (iii) ensuring the niche or minority content is suggested to users (fairness). The outcome will be novel recommendation algorithms taking into account multiple competing objectives (e.g., relevance vs. information balance). In doing so, WP2 will address the following main research questions:  To what extent can we effectively and fairly model online user behavior and predict this behavior? To what extent can we personalize and engage users online to efficiently keep them informed, and at the same time do this responsibly?  

Objective: To develop user modeling and personalisation techniques capable of effectively eliciting user preferences in order to enchance the user experience when interacting with media content while taking into account important competing factors (e.g., business values, societal values, individual values). 

Recommendation enables media applications to support users in discovering additional media content (e.g., news articles, videos) and to keep consumers engaged. The main challenge in this context is that the recommendation approaches has little potential for the discovery of new types of content for the consumer and they might cause the popular media content becoming even more popular. Such problems can ultimately lead to filter bubbles, echo chambers or group-think conditions. WP2 will tackle these undesired phenomena which are likely originated from the current personalization and recommendation approaches.

This will be done by computing responsible (predictive) models for a fair recommendation that will enhance user engagement through novel mechanisms by (i) providing explanations of recommendations to users (transparency), (ii) expanding recommendations to cover a rich spectrum of media content (diversity), (iii) ensuring the niche or minority content is suggested to users (fairness). The outcome will be novel recommendation algorithms taking into account multiple competing objectives (e.g., relevance vs. information balance). In doing so, WP2 will address the following main research questions:  To what extent can we effectively and fairly model online user behavior and predict this behavior? To what extent can we personalize and engage users online to efficiently keep them informed, and at the same time do this responsibly?  

Objective: To develop user modeling and personalisation techniques capable of effectively eliciting user preferences in order to enchance the user experience when interacting with media content while taking into account important competing factors (e.g., business values, societal values, individual values). 

/ People

Christoph Trattner

Christoph Trattner

Centre Director

Mehdi Elahi

Mehdi Elahi

Work Package Leader

Ayoub El Majjodi

Ayoub El Majjodi

PhD Candidate

Alain Starke

Alain Starke

Key Researcher

Krisztian Balog

Krisztian Balog

Key Researcher

Dietmar Jannach

Dietmar Jannach

Work Package Advisor & Key Researcher

Universität Klagenfurt

Read more
Anastasiia Klimashevskaia

Anastasiia Klimashevskaia

PhD Candidate

Helle Sjøvaag

Helle Sjøvaag

Key Researcher

Lars Skjærven

Lars Skjærven

Industry WP2 Co-Leader

TV 2

Read more

/ Publications

2021

The Cholesterol Factor: Balancing Accuracy and Health in Recipe Recommendation Through a Nutrient-Specific Metric. Proceeding Forthcoming

Alain Starke; Christoph Trattner; H. Bakken; M. Johannessen; V. Solberg

Forthcoming.

BibTeX

Recommending Videos in Cold Start With Automatic Visual Tags Proceeding

Mehdi Elahi; Farshad B. Moghaddam; Reza Hosseini; Mohammad Hossein Rimaz; Nabil El Ioini; Marko Tkalcic; Christoph Trattner; Tammam Tillo

29th Conference on User Modeling, Adaptation and Personalization conference (UMAP 2021) Utrecht, the Netherlands, 2021.

Abstract | BibTeX | Links:

Beyond Algorithmic Fairness in Recommender Systems Proceeding

Mehdi Elahi; Himan Abdollahpouri; Masoud Mansoury; Helma Torkamaan

Association for Computing Machinery, New York, NY United States, 2021, ISBN: 978-1-4503-8366-0.

BibTeX | Links:

Exploring the Effects of Natural Language Justifications in Food Recommender Systems Proceeding

Cataldo Musto; Alain D. Starke; Christoph Trattner; Amon Rapp; Giovanni Semeraro

Association for Computing Machinery, New York, NY United States, 2021, ISBN: 978-1-4503-8366-0.

BibTeX | Links:

Nudging Healthy Choices in Food Search Through Visual Attractiveness Journal Article

Alain D. Starke; Martijn C. Willemsen; Christoph Trattner

(April 2021), pp. 1-18, 2021.

Abstract | BibTeX | Links:

How The Public Understands News Media Trust: An Open-ended Approach Journal Article

Erik Knudsen; Stefan Dahlberg; Magnus H Iversen; Mikael P Johannesson; Silje Nygaard

Journalism, (April 2021), pp. 1-17, 2021.

Abstract | BibTeX | Links:

2020

The complexity landscape of outcome determination in judgment aggregation Journal Article

Ulle Endriss; Ronald de Haan; Jerôme Lang; Marija Slavkovik

Journal of Artificial Intelligence Research, 69 , pp. 687–731, 2020, (Pre SFI).

Abstract | BibTeX | Links:

Addressing the New Item problem in video recommender systems by incorporation of visual features with restricted Boltzmann machines. Journal Article

Naieme Hazrati; Mehdi Elahi

Expert Systems, e12645 , pp. 1-20, 2020, (Pre SFI).

Abstract | BibTeX | Links:

Measuring Recommendation Explanation Quality: The Conflicting Goals of Explanations Conference

Krisztian Balog; Filip Radlinski

Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '20), New York, 2020, (Pre SFI).

Abstract | BibTeX | Links:

Circumvention by design - dark patterns in cookie consents for online news outlets Conference

Than Htut Soe; Oda Elise Nordberg; Frode Guribye; Marija Slavkovik

Proceedings of the 11th Nordic Conference on Human-Computer Interaction, 2020, (Pre SFI).

Abstract | BibTeX | Links:

A Systematic Review and Taxonomy of Explanations in Decision Support and Recommender Systems Journal Article

Ingrid Nunes; Dietmar Jannach

User-Modeling and User-Adapted Interaction, 27 (3-5), pp. 393-444, 2020, (Pre SFI).

Abstract | BibTeX | Links:

Strategic and Organisational fit in Corporate News Markets: A Principal-agent Approach to Studying Newspaper Mergers Journal Article

Helle Sjøvaag; Thomas Owren; Turid Borgen

Journalism Practice, pp. 1-18, 2020, (Pre SFI).

Abstract | BibTeX | Links:

Web Table Extraction, Retrieval, and Augmentation: A Survey Journal Article

Shuo Zhang; Krisztian Balog

ACM Transactions on Intelligent Systems and Technology (TIST), 11 (2), pp. 1-35, 2020, (Pre SFI).

Abstract | BibTeX | Links:

2019

Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches Conference

Maurizio Ferrari Dacrema; Paolo Cremonesi; Dietmar Jannach

Proceedings of the 2019 ACM Conference on Recommender Systems (RecSys 2019), Copenhagen, 2019, (Pre SFI).

Abstract | BibTeX | Links:

Answer set programming for judgment aggregation Conference

Ronald de Haan; Marija Slavkovik

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence, 2019, (Pre SFI).

Abstract | BibTeX | Links:

Transparent, Scrutable and Explainable User Models for Personalized Recommendation Conference

Krisztian Balog; Filip Radlinski; Shushan Arakelyan

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’19), 2019, (Pre SFI).

Abstract | BibTeX | Links:

Journalism between the state and the market Book

Helle Sjøvaag

Routledge, New York, 2019, ISBN: 9781138543348, (Pre SFI).

Abstract | BibTeX | Links:

Building Jiminy Cricket: An architecture for moral agreements among stakeholders Conference

Beishui Liao; Marija Slavkovik; Leendert van der Torre

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019, (Pre SFI).

Abstract | BibTeX | Links:

2018

Is public service broadcasting a threat to commercial media? Journal Article

Helle Sjøvaag; Truls André Pedersen; Thomas Owren

Media, Culture & Society, 46 (1), pp. 808-827, 2018, (Pre SFI).

Abstract | BibTeX | Links:

On the distinction between implicit and explicit ethical agency Conference

Sjur Dyrkolbotn; Truls Pedersen; Marija Slavkovik

Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society (AIES '18), 2018, (Pre SFI).

Abstract | BibTeX | Links:

Female voices in the news: Structural conditions of gender representations in Norwegian newspapers Journal Article

Helle Sjøvaag; Truls André Pedersen

Journalism & Mass Communication Quarterly, 96 (1), pp. 215-238, 2018, (Pre SFI).

Abstract | BibTeX | Links:

The hyperlinked Scandinavian news ecology: The unequal terms forged by the structural properties of digitalisation Journal Article

Helle Sjøvaag; Eirik Stavelin; Michael Karlsson; Aske Kammer

Digital Journalism, 7 (4), pp. 507-531, 2018, (Pre SFI).

Abstract | BibTeX | Links:

Evaluation of Session-based Recommendation Algorithms Journal Article

Malte Ludewig; Dietmar Jannach

User-Modeling and User-Adapted Interaction, 28 (4-5), pp. 331-390, 2018, (Pre SFI).

Abstract | BibTeX | Links:

Sequence-Aware Recommender Systems Journal Article

Massimo Quadrana; Paolo Cremonesi; Dietmar Jannach

ACM Computing Surveys, 51 (4), pp. 1-35, 2018, (Pre SFI).

Abstract | BibTeX | Links:

Ad Hoc Table Retrieval using Semantic Similarity Conference

Shuo Zhang; Krisztian Balog

Proceedings of The Web Conference 2018 (WWW’18), 2018, (Pre SFI).

Abstract | BibTeX | Links:

Entity-Oriented Search Book

Krisztian Balog

1, Springer, 2018, ISBN: 978-3-319-93935-3, (Pre SFI).

Abstract | BibTeX | Links:

2017

Exploring the semantic gap for movie recommendations Conference

Mehdi Elahi; Yashar Deldjoo; Farshad Bakhshandegan Moghaddam; Leonardo Cella; Stefano Cerada; Paolo Cremonesi

Proceedings of the Eleventh ACM Conference on Recommender Systems, Association for Computing Machinery New York, 2017, (Pre SFI).

Abstract | BibTeX | Links:

2016

Recommender Systems - Beyond Matrix Completion Journal Article

Dietmar Jannach; Alexander Tuzhilin; Markus Zanker

Communications of the ACM, 59 (11), pp. 94-102, 2016, (Pre SFI).

Abstract | BibTeX | Links:

A survey of active learning in collaborative filtering recommender systems Journal Article

Mehdi Elahi; Francesco Ricci; Neil Rubens

Computer Science Review, 20 , pp. 29-50, 2016, (Pre SFI).

Abstract | BibTeX | Links:

Alleviating the new user problem in collaborative filtering by exploiting personality information Journal Article

Ignacio Fernandez Tobias; Matthias Braunhofer; Mehdi Elahi; Francesco Ricci; Ivan Cantador

User Modeling and User-Adapted Interaction, 26 (2-3), pp. 221-255, 2016, (Pre SFI).

Abstract | BibTeX | Links:

2015

Active learning in recommender systems Book Chapter

Neil Rubens; Mehdi Elahi; Masashi Sugiyama; Dain Kaplan

Ricci, Francesco; Rokach, Lior; Shapira, Bracha (Ed.): pp. 809-846, Springer, 2015, ISBN: 978-1-4899-7637-6, (Pre SFI).

Abstract | BibTeX | Links:

/ Publications

2021

The Cholesterol Factor: Balancing Accuracy and Health in Recipe Recommendation Through a Nutrient-Specific Metric. Proceeding Forthcoming

Starke, Alain; Trattner, Christoph; Bakken, H; Johannessen, M; Solberg, V

Forthcoming.

BibTeX

Recommending Videos in Cold Start With Automatic Visual Tags Proceeding

Elahi, Mehdi; Moghaddam, Farshad B; Hosseini, Reza; Rimaz, Mohammad Hossein; Ioini, Nabil El; Tkalcic, Marko; Trattner, Christoph; Tillo, Tammam

29th Conference on User Modeling, Adaptation and Personalization conference (UMAP 2021) Utrecht, the Netherlands, 2021.

Abstract | Links | BibTeX

Beyond Algorithmic Fairness in Recommender Systems Proceeding

Elahi, Mehdi; Abdollahpouri, Himan; Mansoury, Masoud; Torkamaan, Helma

Association for Computing Machinery, New York, NY United States, 2021, ISBN: 978-1-4503-8366-0.

Links | BibTeX

Exploring the Effects of Natural Language Justifications in Food Recommender Systems Proceeding

Musto, Cataldo; Starke, Alain D; Trattner, Christoph; Rapp, Amon; Semeraro, Giovanni

Association for Computing Machinery, New York, NY United States, 2021, ISBN: 978-1-4503-8366-0.

Links | BibTeX

Nudging Healthy Choices in Food Search Through Visual Attractiveness Journal Article

Starke, Alain D; Willemsen, Martijn C; Trattner, Christoph

(April 2021), pp. 1-18, 2021.

Abstract | Links | BibTeX

How The Public Understands News Media Trust: An Open-ended Approach Journal Article

Knudsen, Erik; Dahlberg, Stefan; Iversen, Magnus H; Johannesson, Mikael P; Nygaard, Silje

Journalism, (April 2021), pp. 1-17, 2021.

Abstract | Links | BibTeX

2020

The complexity landscape of outcome determination in judgment aggregation Journal Article

Endriss, Ulle; de Haan, Ronald; Lang, Jerôme; Slavkovik, Marija

Journal of Artificial Intelligence Research, 69 , pp. 687–731, 2020, (Pre SFI).

Abstract | Links | BibTeX

Addressing the New Item problem in video recommender systems by incorporation of visual features with restricted Boltzmann machines. Journal Article

Hazrati, Naieme; Elahi, Mehdi

Expert Systems, e12645 , pp. 1-20, 2020, (Pre SFI).

Abstract | Links | BibTeX

Measuring Recommendation Explanation Quality: The Conflicting Goals of Explanations Conference

Balog, Krisztian; Radlinski, Filip

Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '20), New York, 2020, (Pre SFI).

Abstract | Links | BibTeX

Circumvention by design - dark patterns in cookie consents for online news outlets Conference

Soe, Than Htut; Nordberg, Oda Elise; Guribye, Frode; Slavkovik, Marija

Proceedings of the 11th Nordic Conference on Human-Computer Interaction, 2020, (Pre SFI).

Abstract | Links | BibTeX

A Systematic Review and Taxonomy of Explanations in Decision Support and Recommender Systems Journal Article

Nunes, Ingrid; Jannach, Dietmar

User-Modeling and User-Adapted Interaction, 27 (3-5), pp. 393-444, 2020, (Pre SFI).

Abstract | Links | BibTeX

Strategic and Organisational fit in Corporate News Markets: A Principal-agent Approach to Studying Newspaper Mergers Journal Article

Sjøvaag, Helle; Owren, Thomas; Borgen, Turid

Journalism Practice, pp. 1-18, 2020, (Pre SFI).

Abstract | Links | BibTeX

Web Table Extraction, Retrieval, and Augmentation: A Survey Journal Article

Zhang, Shuo; Balog, Krisztian

ACM Transactions on Intelligent Systems and Technology (TIST), 11 (2), pp. 1-35, 2020, (Pre SFI).

Abstract | Links | BibTeX

2019

Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches Conference

Dacrema, Maurizio Ferrari; Cremonesi, Paolo; Jannach, Dietmar

Proceedings of the 2019 ACM Conference on Recommender Systems (RecSys 2019), Copenhagen, 2019, (Pre SFI).

Abstract | Links | BibTeX

Answer set programming for judgment aggregation Conference

de Haan, Ronald; Slavkovik, Marija

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence, 2019, (Pre SFI).

Abstract | Links | BibTeX

Transparent, Scrutable and Explainable User Models for Personalized Recommendation Conference

Balog, Krisztian; Radlinski, Filip; Arakelyan, Shushan

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’19), 2019, (Pre SFI).

Abstract | Links | BibTeX

Journalism between the state and the market Book

Sjøvaag, Helle

Routledge, New York, 2019, ISBN: 9781138543348, (Pre SFI).

Abstract | Links | BibTeX

Building Jiminy Cricket: An architecture for moral agreements among stakeholders Conference

Liao, Beishui; Slavkovik, Marija; van der Torre, Leendert

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019, (Pre SFI).

Abstract | Links | BibTeX

2018

Is public service broadcasting a threat to commercial media? Journal Article

Sjøvaag, Helle; Pedersen, Truls André; Owren, Thomas

Media, Culture & Society, 46 (1), pp. 808-827, 2018, (Pre SFI).

Abstract | Links | BibTeX

On the distinction between implicit and explicit ethical agency Conference

Dyrkolbotn, Sjur; Pedersen, Truls; Slavkovik, Marija

Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society (AIES '18), 2018, (Pre SFI).

Abstract | Links | BibTeX

Female voices in the news: Structural conditions of gender representations in Norwegian newspapers Journal Article

Sjøvaag, Helle; Pedersen, Truls André

Journalism & Mass Communication Quarterly, 96 (1), pp. 215-238, 2018, (Pre SFI).

Abstract | Links | BibTeX

The hyperlinked Scandinavian news ecology: The unequal terms forged by the structural properties of digitalisation Journal Article

Sjøvaag, Helle; Stavelin, Eirik; Karlsson, Michael; Kammer, Aske

Digital Journalism, 7 (4), pp. 507-531, 2018, (Pre SFI).

Abstract | Links | BibTeX

Evaluation of Session-based Recommendation Algorithms Journal Article

Ludewig, Malte; Jannach, Dietmar

User-Modeling and User-Adapted Interaction, 28 (4-5), pp. 331-390, 2018, (Pre SFI).

Abstract | Links | BibTeX

Sequence-Aware Recommender Systems Journal Article

Quadrana, Massimo; Cremonesi, Paolo; Jannach, Dietmar

ACM Computing Surveys, 51 (4), pp. 1-35, 2018, (Pre SFI).

Abstract | Links | BibTeX

Ad Hoc Table Retrieval using Semantic Similarity Conference

Zhang, Shuo; Balog, Krisztian

Proceedings of The Web Conference 2018 (WWW’18), 2018, (Pre SFI).

Abstract | Links | BibTeX

Entity-Oriented Search Book

Balog, Krisztian

1, Springer, 2018, ISBN: 978-3-319-93935-3, (Pre SFI).

Abstract | Links | BibTeX

2017

Exploring the semantic gap for movie recommendations Conference

Elahi, Mehdi; Deldjoo, Yashar; Moghaddam, Farshad Bakhshandegan; Cella, Leonardo; Cerada, Stefano; Cremonesi, Paolo

Proceedings of the Eleventh ACM Conference on Recommender Systems, Association for Computing Machinery New York, 2017, (Pre SFI).

Abstract | Links | BibTeX

2016

Recommender Systems - Beyond Matrix Completion Journal Article

Jannach, Dietmar; Tuzhilin, Alexander; Zanker, Markus

Communications of the ACM, 59 (11), pp. 94-102, 2016, (Pre SFI).

Abstract | Links | BibTeX

A survey of active learning in collaborative filtering recommender systems Journal Article

Elahi, Mehdi; Ricci, Francesco; Rubens, Neil

Computer Science Review, 20 , pp. 29-50, 2016, (Pre SFI).

Abstract | Links | BibTeX

Alleviating the new user problem in collaborative filtering by exploiting personality information Journal Article

Tobias, Ignacio Fernandez; Braunhofer, Matthias; Elahi, Mehdi; Ricci, Francesco; Cantador, Ivan

User Modeling and User-Adapted Interaction, 26 (2-3), pp. 221-255, 2016, (Pre SFI).

Abstract | Links | BibTeX

2015

Active learning in recommender systems Book Chapter

Rubens, Neil; Elahi, Mehdi; Sugiyama, Masashi; Kaplan, Dain

Ricci, Francesco; Rokach, Lior; Shapira, Bracha (Ed.): pp. 809-846, Springer, 2015, ISBN: 978-1-4899-7637-6, (Pre SFI).

Abstract | Links | BibTeX

/ Publications

2021

The Cholesterol Factor: Balancing Accuracy and Health in Recipe Recommendation Through a Nutrient-Specific Metric. Proceeding Forthcoming

Starke, Alain; Trattner, Christoph; Bakken, H; Johannessen, M; Solberg, V

Forthcoming.

BibTeX

Recommending Videos in Cold Start With Automatic Visual Tags Proceeding

Elahi, Mehdi; Moghaddam, Farshad B; Hosseini, Reza; Rimaz, Mohammad Hossein; Ioini, Nabil El; Tkalcic, Marko; Trattner, Christoph; Tillo, Tammam

29th Conference on User Modeling, Adaptation and Personalization conference (UMAP 2021) Utrecht, the Netherlands, 2021.

Abstract | Links | BibTeX

Beyond Algorithmic Fairness in Recommender Systems Proceeding

Elahi, Mehdi; Abdollahpouri, Himan; Mansoury, Masoud; Torkamaan, Helma

Association for Computing Machinery, New York, NY United States, 2021, ISBN: 978-1-4503-8366-0.

Links | BibTeX

Exploring the Effects of Natural Language Justifications in Food Recommender Systems Proceeding

Musto, Cataldo; Starke, Alain D; Trattner, Christoph; Rapp, Amon; Semeraro, Giovanni

Association for Computing Machinery, New York, NY United States, 2021, ISBN: 978-1-4503-8366-0.

Links | BibTeX

Nudging Healthy Choices in Food Search Through Visual Attractiveness Journal Article

Starke, Alain D; Willemsen, Martijn C; Trattner, Christoph

(April 2021), pp. 1-18, 2021.

Abstract | Links | BibTeX

How The Public Understands News Media Trust: An Open-ended Approach Journal Article

Knudsen, Erik; Dahlberg, Stefan; Iversen, Magnus H; Johannesson, Mikael P; Nygaard, Silje

Journalism, (April 2021), pp. 1-17, 2021.

Abstract | Links | BibTeX

2020

The complexity landscape of outcome determination in judgment aggregation Journal Article

Endriss, Ulle; de Haan, Ronald; Lang, Jerôme; Slavkovik, Marija

Journal of Artificial Intelligence Research, 69 , pp. 687–731, 2020, (Pre SFI).

Abstract | Links | BibTeX

Addressing the New Item problem in video recommender systems by incorporation of visual features with restricted Boltzmann machines. Journal Article

Hazrati, Naieme; Elahi, Mehdi

Expert Systems, e12645 , pp. 1-20, 2020, (Pre SFI).

Abstract | Links | BibTeX

Measuring Recommendation Explanation Quality: The Conflicting Goals of Explanations Conference

Balog, Krisztian; Radlinski, Filip

Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '20), New York, 2020, (Pre SFI).

Abstract | Links | BibTeX

Circumvention by design - dark patterns in cookie consents for online news outlets Conference

Soe, Than Htut; Nordberg, Oda Elise; Guribye, Frode; Slavkovik, Marija

Proceedings of the 11th Nordic Conference on Human-Computer Interaction, 2020, (Pre SFI).

Abstract | Links | BibTeX

A Systematic Review and Taxonomy of Explanations in Decision Support and Recommender Systems Journal Article

Nunes, Ingrid; Jannach, Dietmar

User-Modeling and User-Adapted Interaction, 27 (3-5), pp. 393-444, 2020, (Pre SFI).

Abstract | Links | BibTeX

Strategic and Organisational fit in Corporate News Markets: A Principal-agent Approach to Studying Newspaper Mergers Journal Article

Sjøvaag, Helle; Owren, Thomas; Borgen, Turid

Journalism Practice, pp. 1-18, 2020, (Pre SFI).

Abstract | Links | BibTeX

Web Table Extraction, Retrieval, and Augmentation: A Survey Journal Article

Zhang, Shuo; Balog, Krisztian

ACM Transactions on Intelligent Systems and Technology (TIST), 11 (2), pp. 1-35, 2020, (Pre SFI).

Abstract | Links | BibTeX

2019

Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches Conference

Dacrema, Maurizio Ferrari; Cremonesi, Paolo; Jannach, Dietmar

Proceedings of the 2019 ACM Conference on Recommender Systems (RecSys 2019), Copenhagen, 2019, (Pre SFI).

Abstract | Links | BibTeX

Answer set programming for judgment aggregation Conference

de Haan, Ronald; Slavkovik, Marija

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence, 2019, (Pre SFI).

Abstract | Links | BibTeX

Transparent, Scrutable and Explainable User Models for Personalized Recommendation Conference

Balog, Krisztian; Radlinski, Filip; Arakelyan, Shushan

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’19), 2019, (Pre SFI).

Abstract | Links | BibTeX

Journalism between the state and the market Book

Sjøvaag, Helle

Routledge, New York, 2019, ISBN: 9781138543348, (Pre SFI).

Abstract | Links | BibTeX

Building Jiminy Cricket: An architecture for moral agreements among stakeholders Conference

Liao, Beishui; Slavkovik, Marija; van der Torre, Leendert

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019, (Pre SFI).

Abstract | Links | BibTeX

2018

Is public service broadcasting a threat to commercial media? Journal Article

Sjøvaag, Helle; Pedersen, Truls André; Owren, Thomas

Media, Culture & Society, 46 (1), pp. 808-827, 2018, (Pre SFI).

Abstract | Links | BibTeX

On the distinction between implicit and explicit ethical agency Conference

Dyrkolbotn, Sjur; Pedersen, Truls; Slavkovik, Marija

Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society (AIES '18), 2018, (Pre SFI).

Abstract | Links | BibTeX

Female voices in the news: Structural conditions of gender representations in Norwegian newspapers Journal Article

Sjøvaag, Helle; Pedersen, Truls André

Journalism & Mass Communication Quarterly, 96 (1), pp. 215-238, 2018, (Pre SFI).

Abstract | Links | BibTeX

The hyperlinked Scandinavian news ecology: The unequal terms forged by the structural properties of digitalisation Journal Article

Sjøvaag, Helle; Stavelin, Eirik; Karlsson, Michael; Kammer, Aske

Digital Journalism, 7 (4), pp. 507-531, 2018, (Pre SFI).

Abstract | Links | BibTeX

Evaluation of Session-based Recommendation Algorithms Journal Article

Ludewig, Malte; Jannach, Dietmar

User-Modeling and User-Adapted Interaction, 28 (4-5), pp. 331-390, 2018, (Pre SFI).

Abstract | Links | BibTeX

Sequence-Aware Recommender Systems Journal Article

Quadrana, Massimo; Cremonesi, Paolo; Jannach, Dietmar

ACM Computing Surveys, 51 (4), pp. 1-35, 2018, (Pre SFI).

Abstract | Links | BibTeX

Ad Hoc Table Retrieval using Semantic Similarity Conference

Zhang, Shuo; Balog, Krisztian

Proceedings of The Web Conference 2018 (WWW’18), 2018, (Pre SFI).

Abstract | Links | BibTeX

Entity-Oriented Search Book

Balog, Krisztian

1, Springer, 2018, ISBN: 978-3-319-93935-3, (Pre SFI).

Abstract | Links | BibTeX

2017

Exploring the semantic gap for movie recommendations Conference

Elahi, Mehdi; Deldjoo, Yashar; Moghaddam, Farshad Bakhshandegan; Cella, Leonardo; Cerada, Stefano; Cremonesi, Paolo

Proceedings of the Eleventh ACM Conference on Recommender Systems, Association for Computing Machinery New York, 2017, (Pre SFI).

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2016

Recommender Systems - Beyond Matrix Completion Journal Article

Jannach, Dietmar; Tuzhilin, Alexander; Zanker, Markus

Communications of the ACM, 59 (11), pp. 94-102, 2016, (Pre SFI).

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A survey of active learning in collaborative filtering recommender systems Journal Article

Elahi, Mehdi; Ricci, Francesco; Rubens, Neil

Computer Science Review, 20 , pp. 29-50, 2016, (Pre SFI).

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Alleviating the new user problem in collaborative filtering by exploiting personality information Journal Article

Tobias, Ignacio Fernandez; Braunhofer, Matthias; Elahi, Mehdi; Ricci, Francesco; Cantador, Ivan

User Modeling and User-Adapted Interaction, 26 (2-3), pp. 221-255, 2016, (Pre SFI).

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2015

Active learning in recommender systems Book Chapter

Rubens, Neil; Elahi, Mehdi; Sugiyama, Masashi; Kaplan, Dain

Ricci, Francesco; Rokach, Lior; Shapira, Bracha (Ed.): pp. 809-846, Springer, 2015, ISBN: 978-1-4899-7637-6, (Pre SFI).

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