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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

Mehdi Elahi

Mehdi Elahi

Work Package Leader

Marija Slavkovik

Marija Slavkovik

Work Package Co-Leader

Krisztian Balog

Krisztian Balog

Key Researcher

Dietmar Jannach

Dietmar Jannach

Work Package Advisor & Key Researcher

Universität Klagenfurt

Read more
Helle Sjøvaag

Helle Sjøvaag

Key Researcher

Lars Skjærven

Lars Skjærven

Industry WP2 co-leader

TV 2

Read more

/ Publications

2021

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

How the public understands news media trust: An open-ended approach Journal Article

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

Abstract | BibTeX | Links:

2020

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

The complexity landscape of outcome determination in judgment aggregation Journal Article

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

Abstract | BibTeX | Links:

Naieme Hazrati; Mehdi Elahi

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

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

Abstract | BibTeX | Links:

Krisztian Balog; Filip Radlinski

Measuring Recommendation Explanation Quality: The Conflicting Goals of Explanations Conference

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:

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

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

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

Abstract | BibTeX | Links:

Ingrid Nunes; Dietmar Jannach

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

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

Abstract | BibTeX | Links:

Helle Sjøvaag; Thomas Owren; Turid Borgen

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

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

Abstract | BibTeX | Links:

Shuo Zhang; Krisztian Balog

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

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

Abstract | BibTeX | Links:

2019

Maurizio Ferrari Dacrema; Paolo Cremonesi; Dietmar Jannach

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

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

Abstract | BibTeX | Links:

Ronald de Haan; Marija Slavkovik

Answer set programming for judgment aggregation Conference

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

Abstract | BibTeX | Links:

Krisztian Balog; Filip Radlinski; Shushan Arakelyan

Transparent, Scrutable and Explainable User Models for Personalized Recommendation Conference

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

Abstract | BibTeX | Links:

Helle Sjøvaag

Journalism between the state and the market Book

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

Abstract | BibTeX | Links:

Beishui Liao; Marija Slavkovik; Leendert van der Torre

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

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

Abstract | BibTeX | Links:

2018

Helle Sjøvaag; Truls André Pedersen; Thomas Owren

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

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

Abstract | BibTeX | Links:

Sjur Dyrkolbotn; Truls Pedersen; Marija Slavkovik

On the distinction between implicit and explicit ethical agency Conference

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

Abstract | BibTeX | Links:

Helle Sjøvaag; Truls André Pedersen

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

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

Abstract | BibTeX | Links:

Helle Sjøvaag; Eirik Stavelin; Michael Karlsson; Aske Kammer

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

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

Abstract | BibTeX | Links:

Malte Ludewig; Dietmar Jannach

Evaluation of Session-based Recommendation Algorithms Journal Article

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

Abstract | BibTeX | Links:

Massimo Quadrana; Paolo Cremonesi; Dietmar Jannach

Sequence-Aware Recommender Systems Journal Article

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

Abstract | BibTeX | Links:

Shuo Zhang; Krisztian Balog

Ad Hoc Table Retrieval using Semantic Similarity Conference

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

Abstract | BibTeX | Links:

Krisztian Balog

Entity-Oriented Search Book

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

Abstract | BibTeX | Links:

2017

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

Exploring the semantic gap for movie recommendations Conference

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

Abstract | BibTeX | Links:

2016

Dietmar Jannach; Alexander Tuzhilin; Markus Zanker

Recommender Systems - Beyond Matrix Completion Journal Article

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

Abstract | BibTeX | Links:

Mehdi Elahi; Francesco Ricci; Neil Rubens

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

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

Abstract | BibTeX | Links:

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

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

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

Abstract | BibTeX | Links:

2015

Neil Rubens; Mehdi Elahi; Masashi Sugiyama; Dain Kaplan

Active learning in recommender systems Book Chapter

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

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

How the public understands news media trust: An open-ended approach Journal Article

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

Abstract | Links | BibTeX

2020

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

The complexity landscape of outcome determination in judgment aggregation Journal Article

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

Abstract | Links | BibTeX

Hazrati, Naieme; Elahi, Mehdi

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

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

Abstract | Links | BibTeX

Balog, Krisztian; Radlinski, Filip

Measuring Recommendation Explanation Quality: The Conflicting Goals of Explanations Conference

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

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

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

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

Abstract | Links | BibTeX

Nunes, Ingrid; Jannach, Dietmar

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

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

Abstract | Links | BibTeX

Sjøvaag, Helle; Owren, Thomas; Borgen, Turid

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

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

Abstract | Links | BibTeX

Zhang, Shuo; Balog, Krisztian

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

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

Abstract | Links | BibTeX

2019

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

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

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

Abstract | Links | BibTeX

de Haan, Ronald; Slavkovik, Marija

Answer set programming for judgment aggregation Conference

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

Abstract | Links | BibTeX

Balog, Krisztian; Radlinski, Filip; Arakelyan, Shushan

Transparent, Scrutable and Explainable User Models for Personalized Recommendation Conference

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

Abstract | Links | BibTeX

Sjøvaag, Helle

Journalism between the state and the market Book

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

Abstract | Links | BibTeX

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

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

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

Abstract | Links | BibTeX

2018

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

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

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

Abstract | Links | BibTeX

Dyrkolbotn, Sjur; Pedersen, Truls; Slavkovik, Marija

On the distinction between implicit and explicit ethical agency Conference

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

Abstract | Links | BibTeX

Sjøvaag, Helle; Pedersen, Truls André

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

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

Abstract | Links | BibTeX

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

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

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

Abstract | Links | BibTeX

Ludewig, Malte; Jannach, Dietmar

Evaluation of Session-based Recommendation Algorithms Journal Article

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

Abstract | Links | BibTeX

Quadrana, Massimo; Cremonesi, Paolo; Jannach, Dietmar

Sequence-Aware Recommender Systems Journal Article

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

Abstract | Links | BibTeX

Zhang, Shuo; Balog, Krisztian

Ad Hoc Table Retrieval using Semantic Similarity Conference

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

Abstract | Links | BibTeX

Balog, Krisztian

Entity-Oriented Search Book

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

Abstract | Links | BibTeX

2017

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

Exploring the semantic gap for movie recommendations Conference

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

Abstract | Links | BibTeX

2016

Jannach, Dietmar; Tuzhilin, Alexander; Zanker, Markus

Recommender Systems - Beyond Matrix Completion Journal Article

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

Abstract | Links | BibTeX

Elahi, Mehdi; Ricci, Francesco; Rubens, Neil

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

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

Abstract | Links | BibTeX

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

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

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

Abstract | Links | BibTeX

2015

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

Active learning in recommender systems Book Chapter

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

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

How the public understands news media trust: An open-ended approach Journal Article

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

Abstract | Links | BibTeX

2020

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

The complexity landscape of outcome determination in judgment aggregation Journal Article

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

Abstract | Links | BibTeX

Hazrati, Naieme; Elahi, Mehdi

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

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

Abstract | Links | BibTeX

Balog, Krisztian; Radlinski, Filip

Measuring Recommendation Explanation Quality: The Conflicting Goals of Explanations Conference

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

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

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

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

Abstract | Links | BibTeX

Nunes, Ingrid; Jannach, Dietmar

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

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

Abstract | Links | BibTeX

Sjøvaag, Helle; Owren, Thomas; Borgen, Turid

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

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

Abstract | Links | BibTeX

Zhang, Shuo; Balog, Krisztian

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

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

Abstract | Links | BibTeX

2019

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

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

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

Abstract | Links | BibTeX

de Haan, Ronald; Slavkovik, Marija

Answer set programming for judgment aggregation Conference

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

Abstract | Links | BibTeX

Balog, Krisztian; Radlinski, Filip; Arakelyan, Shushan

Transparent, Scrutable and Explainable User Models for Personalized Recommendation Conference

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

Abstract | Links | BibTeX

Sjøvaag, Helle

Journalism between the state and the market Book

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

Abstract | Links | BibTeX

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

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

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

Abstract | Links | BibTeX

2018

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

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

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

Abstract | Links | BibTeX

Dyrkolbotn, Sjur; Pedersen, Truls; Slavkovik, Marija

On the distinction between implicit and explicit ethical agency Conference

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

Abstract | Links | BibTeX

Sjøvaag, Helle; Pedersen, Truls André

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

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

Abstract | Links | BibTeX

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

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

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

Abstract | Links | BibTeX

Ludewig, Malte; Jannach, Dietmar

Evaluation of Session-based Recommendation Algorithms Journal Article

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

Abstract | Links | BibTeX

Quadrana, Massimo; Cremonesi, Paolo; Jannach, Dietmar

Sequence-Aware Recommender Systems Journal Article

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

Abstract | Links | BibTeX

Zhang, Shuo; Balog, Krisztian

Ad Hoc Table Retrieval using Semantic Similarity Conference

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

Abstract | Links | BibTeX

Balog, Krisztian

Entity-Oriented Search Book

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

Abstract | Links | BibTeX

2017

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

Exploring the semantic gap for movie recommendations Conference

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

Abstract | Links | BibTeX

2016

Jannach, Dietmar; Tuzhilin, Alexander; Zanker, Markus

Recommender Systems - Beyond Matrix Completion Journal Article

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

Abstract | Links | BibTeX

Elahi, Mehdi; Ricci, Francesco; Rubens, Neil

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

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

Abstract | Links | BibTeX

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

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

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

Abstract | Links | BibTeX

2015

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

Active learning in recommender systems Book Chapter

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

Abstract | Links | BibTeX