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ORCIDPeter Brusilovsky
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- affiliation: University of Pittsburgh, USA
- affiliation (former): Carnegie Mellon University, Pittsburgh, USA
- award: Humboldt Prize
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2020 – today
- 2020
[j113]Roya Hosseini
, Kamil Akhuseyinoglu, Peter Brusilovsky, Lauri Malmi, Kerttu Pollari-Malmi, Christian Schunn, Teemu Sirkiä:
Improving Engagement in Program Construction Examples for Learning Python Programming. Int. J. Artif. Intell. Educ. 30(2): 299-336 (2020)- [j112]Sibel Somyürek, Peter Brusilovsky, Julio Guerra:
Supporting knowledge monitoring ability: open learner modeling vs. open social learner modeling. Res. Pract. Technol. Enhanc. Learn. 15(1): 17 (2020) - [j111]Chun-Hua Tsai, Peter Brusilovsky:
Exploring Social Recommendations with Visual Diversity-Promoting Interfaces. ACM Trans. Interact. Intell. Syst. 10(1): 5:1-5:34 (2020) - [j110]Cecilia di Sciascio, Peter Brusilovsky, Christoph Trattner, Eduardo E. Veas:
A Roadmap to User-Controllable Social Exploratory Search. ACM Trans. Interact. Intell. Syst. 10(1): 8:1-8:38 (2020) - [c242]Xingdi Yuan, Tong Wang, Rui Meng, Khushboo Thaker, Peter Brusilovsky, Daqing He, Adam Trischler:
One Size Does Not Fit All: Generating and Evaluating Variable Number of Keyphrases. ACL 2020: 7961-7975 - [c241]Behnam Rahdari, Peter Brusilovsky, Khushboo Thaker, Jordan Barria-Pineda:
Using Knowledge Graph for Explainable Recommendation of External Content in Electronic Textbooks. iTextbooks@AIED 2020: 50-61 - [c240]Saeed Amal, Mustafa Adam, Peter Brusilovsky, Einat Minkov, Tsvi Kuflik:
Personalized Multifaceted Visualization of Scholars Profiles. AVI 2020: 91:1-91:3 - [c239]Kamil Akhuseyinoglu, Jordan Barria-Pineda, Sergey A. Sosnovsky, Anna-Lena Lamprecht, Julio Guerra, Peter Brusilovsky:
Exploring Student-Controlled Social Comparison. EC-TEL 2020: 244-258 - [c238]Behnam Rahdari, Peter Brusilovsky, Khushboo Thaker, Jordan Barria-Pineda:
Knowledge-Driven Wikipedia Article Recommendation for Electronic Textbooks. EC-TEL 2020: 363-368 - [c237]Khushboo Thaker, Lei Zhang, Daqing He, Peter Brusilovsky:
Recommending Remedial Readings Using Student's Knowledge state. EDM 2020 - [c236]Mehrdad Mirzaei, Shaghayegh Sahebi, Peter Brusilovsky:
Detecting Trait versus Performance Student Behavioral Patterns Using Discriminative Non-Negative Matrix Factorization. FLAIRS Conference 2020: 439-444 - [c235]Behnam Rahdari, Peter Brusilovsky, Dmitriy Babichenko:
Personalizing Information Exploration with an Open User Model. HT 2020: 167-176 - [c234]Saeed Amal, Mustafa Adam, Peter Brusilovsky, Einat Minkov, Zef Segal, Tsvi Kuflik:
Demonstrating Personalized Multifaceted Visualization of People Recommendation to Conference Participants. IUI Companion 2020: 49-50 - [c233]Peter Brusilovsky, Ken Koedinger, David A. Joyner, Thomas W. Price:
Building an Infrastructure for Computer Science Education Research and Practice at Scale. L@S 2020: 211-213 - [c232]Chun-Hua Tsai, Peter Brusilovsky:
User Feedback in Controllable and Explainable Social Recommender Systems: a Linguistic Analysis. IntRS@RecSys 2020: 1-13 - [c231]Chun-Hua Tsai, Jukka Huhtamäki, Thomas Olsson, Peter Brusilovsky:
Diversity Exposure in Social Recommender Systems: A Social Capital Theory Perspective. IntRS@RecSys 2020: 57-64 - [c230]Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Giovanni Semeraro, Martijn C. Willemsen:
Interfaces and Human Decision Making for Recommender Systems. RecSys 2020: 613-618 - [c229]Dmitriy Babichenko, Patrick Healy, Marcela Gomez, Sandra Kane-Gill, Eliza Beth Littleton, Peter Brusilovsky, Paul Cohen, Ravi Patel:
The Use of Agent-Based Models As Non-Player Characters in Serious Games. SeGAH 2020: 1-8 - [c228]Saeed Amal, Mustafa Adam, Peter Brusilovsky, Einat Minkov, Zef Segal, Tsvi Kuflik:
Visualizing Personalized Multifaceted ad-hoc Social Network. UMAP (Adjunct Publication) 2020: 101-102 - [c227]Jordan Barria-Pineda, Kamil Akhuseyinoglu, Peter Brusilovsky, Kerttu Pollari-Malmi, Teemu Sirkiä, Lauri Malmi:
Personalized Remedial Recommendations for SQL Programming Practice System. UMAP (Adjunct Publication) 2020: 135-142 - [e20]Sergey A. Sosnovsky, Peter Brusilovsky, Richard G. Baraniuk, Andrew S. Lan:
Proceedings of the Second International Workshop on Intelligent Textbooks 2020 co-located with 21st International Conference on Artificial Intelligence in Education (AIED 2020), Online, July 06, 2020. CEUR Workshop Proceedings 2674, CEUR-WS.org 2020 [contents] - [e19]Thomas W. Price, Peter Brusilovsky, Sharon I-Han Hsiao, Ken Koedinger, Yang Shi:
Proceedings of 4th Educational Data Mining in Computer Science Education (CSEDM) Workshop co-located with the 13th Educational Data Mining Conference (EDM 2020), Virtual Event, July 10, 2020. CEUR Workshop Proceedings 2734, CEUR-WS.org 2020 [contents] - [e18]Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Giovanni Semeraro, Martijn C. Willemsen:
Proceedings of the 7th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 14th ACM Conference on Recommender Systems (RecSys 2020), Online Event, September 26, 2020. CEUR Workshop Proceedings 2682, CEUR-WS.org 2020 [contents] - [i4]Mengdi Wang, Hung Chau, Khushboo Thaker, Peter Brusilovsky, Daqing He:
Concept Annotation for Intelligent Textbooks. CoRR abs/2005.11422 (2020)
2010 – 2019
- 2019
- [j109]Saeed Amal, Chun-Hua Tsai, Peter Brusilovsky, Tsvi Kuflik, Einat Minkov:
Relational social recommendation: Application to the academic domain. Expert Syst. Appl. 124: 182-195 (2019) - [j108]Hamza Manzoor, Kamil Akhuseyinoglu, Jackson Wonderly, Peter Brusilovsky, Clifford A. Shaffer:
Crossing the Borders: Re-Use of Smart Learning Objects in Advanced Content Access Systems. Future Internet 11(7): 160 (2019) - [j107]Bruno De Lemos Ribeiro Pinto Cardoso, Gayane Sedrakyan, Francisco Gutiérrez, Denis Parra, Peter Brusilovsky, Katrien Verbert:
IntersectionExplorer, a multi-perspective approach for exploring recommendations. Int. J. Hum. Comput. Stud. 121: 73-92 (2019) - [j106]Rosta Farzan, Peter Brusilovsky:
Following others through an information maze: The impact of social navigation on information seeking behavior. Int. J. Hum. Comput. Stud. 124: 81-92 (2019) - [j105]Danielle H. Lee, Peter Brusilovsky:
The first impression of conference papers: Does it matter in predicting future citations? J. Assoc. Inf. Sci. Technol. 70(1): 83-95 (2019) - [j104]Yi-Ling Lin, Denis Parra, Christoph Trattner, Peter Brusilovsky:
Tag-based information access in image collections: insights from log and eye-gaze analyses. Knowl. Inf. Syst. 61(3): 1715-1742 (2019) - [c226]Jordan Barria-Pineda, Peter Brusilovsky, Daqing He:
Reading Mirror: Social Navigation and Social Comparison for Electronic Textbooks. iTextbooks@AIED 2019: 30-37 - [c225]Khushboo Thaker, Peter Brusilovsky, Daqing He:
Student Modeling with Automatic Knowledge Component Extraction for Adaptive Textbooks. iTextbooks@AIED 2019: 95-102 - [c224]Mehrdad Mirzaei, Shaghayegh Sahebi, Peter Brusilovsky:
Annotated Examples and Parameterized Exercises: Analyzing Students' Behavior Patterns. AIED (1) 2019: 308-319 - [c223]Laia Albó, Jordan Barria-Pineda, Peter Brusilovsky, Davinia Hernández-Leo:
Concept-Level Design Analytics for Blended Courses. EC-TEL 2019: 541-554 - [c222]Behnam Rahdari, Chun-Hua Tsai, Peter Brusilovsky:
Expanding Controllability of Hybrid Recommender Systems: From Positive to Negative Relevance. FLAIRS Conference 2019: 431-435 - [c221]Saeed Amal, Mustafa Adam, Peter Brusilovsky, Einat Minkov, Tsvi Kuflik:
Enhancing explainability of social recommendation using 2D graphs and word cloud visualizations. IUI Companion 2019: 21-22 - [c220]Jordan Barria-Pineda, Peter Brusilovsky:
Explaining educational recommendations through a concept-level knowledge visualization. IUI Companion 2019: 103-104 - [c219]Jordan Barria-Pineda, Peter Brusilovsky:
Making Educational Recommendations Transparent through a Fine-Grained Open Learner Model. IUI Workshops 2019 - [c218]Behnam Rahdari, Peter Brusilovsky:
User-controlled hybrid recommendation for academic papers. IUI Companion 2019: 99-100 - [c217]Chun-Hua Tsai, Peter Brusilovsky:
Explaining recommendations in an interactive hybrid social recommender. IUI 2019: 391-396 - [c216]Chun-Hua Tsai, Peter Brusilovsky:
Designing Explanation Interfaces for Transparency and Beyond. IUI Workshops 2019 - [c215]Chun-Hua Tsai, Peter Brusilovsky, Behnam Rahdari:
Exploring User-Controlled Hybrid Recommendation in a Conference Context. IUI Workshops 2019 - [c214]Behnam Rahdari, Peter Brusilovsky:
Building a Knowledge Graph for Recommending Experts. DI2KG@KDD 2019 - [c213]Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Giovanni Semeraro, Martijn C. Willemsen:
RecSys '19 joint workshop on interfaces and human decision making for recommender systems. RecSys 2019: 560-561 - [c212]Chun-Hua Tsai, Peter Brusilovsky:
Evaluating Visual Explanations for Similarity-Based Recommendations: User Perception and Performance. UMAP 2019: 22-30 - [c211]Jordan Barria-Pineda, Kamil Akhuseyinoglu, Peter Brusilovsky:
Explaining Need-based Educational Recommendations Using Interactive Open Learner Models. UMAP (Adjunct Publication) 2019: 273-277 - [c210]Xidao Wen, Yu-Ru Lin, Xi Liu, Peter Brusilovsky, Jordan Barria-Pineda:
Iterative Discriminant Tensor Factorization for Behavior Comparison in Massive Open Online Courses. WWW 2019: 2068-2079 - [e17]Sergey A. Sosnovsky, Peter Brusilovsky, Richard G. Baraniuk, Rakesh Agrawal, Andrew S. Lan:
Proceedings of the First Workshop on Intelligent Textbooks co-located with 20th International Conference on Artificial Intelligence in Education (AIED 2019), Chicago, IL, USA, June 25, 2019. CEUR Workshop Proceedings 2384, CEUR-WS.org 2019 [contents] - [e16]Toine Bogers, Alan Said, Peter Brusilovsky, Domonkos Tikk:
Proceedings of the 13th ACM Conference on Recommender Systems, RecSys 2019, Copenhagen, Denmark, September 16-20, 2019. ACM 2019, ISBN 978-1-4503-6243-6 [contents] - [e15]Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Giovanni Semeraro, Martijn C. Willemsen:
Proceedings of the 6th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 13th ACM Conference on Recommender Systems(RecSys 2019), Copenhagen, Denmark, September 19, 2019. CEUR Workshop Proceedings 2450, CEUR-WS.org 2019 [contents] - [i3]Abdulelah Abuabat, Peter Brusilovsky:
Sequence Analysis of Learning Behavior in Different Consecutive Activities. CoRR abs/1904.02634 (2019) - [i2]Rui Meng, Xingdi Yuan, Tong Wang, Peter Brusilovsky, Adam Trischler, Daqing He:
Does Order Matter? An Empirical Study on Generating Multiple Keyphrases as a Sequence. CoRR abs/1909.03590 (2019) - 2018
- [j103]Shuchen Li, Peter Brusilovsky, Sen Su, Xiang Cheng:
Conference Paper Recommendation for Academic Conferences. IEEE Access 6: 17153-17164 (2018) - [j102]Julio Guerra, Christian D. Schunn, Susan Bull, Jordan Barria-Pineda, Peter Brusilovsky:
Navigation support in complex open learner models: assessing visual design alternatives. New Rev. Hypermedia Multim. 24(3): 160-192 (2018) - [j101]Peter Brusilovsky, Lauri Malmi, Roya Hosseini, Julio Guerra, Teemu Sirkiä, Kerttu Pollari-Malmi:
An integrated practice system for learning programming in Python: design and evaluation. Res. Pract. Technol. Enhanc. Learn. 13(1): 18 (2018) - [j100]Peter Brusilovsky, Sidney D'Mello, Martín Llamas Nistal, Mike Sharples:
A Message from the Editorial Team and an Introduction to the January-March 2018 Issue. IEEE Trans. Learn. Technol. 11(1): 1 (2018) - [j99]Peter Brusilovsky, Mike Sharples:
An Introduction to the April-June 2018 Issue. IEEE Trans. Learn. Technol. 11(2): 131-132 (2018) - [j98]Peter Brusilovsky, Mike Sharples:
Editorial: A Message from the Editorial Team and an Introduction to the July-September 2018 Issue. IEEE Trans. Learn. Technol. 11(3): 275-279 (2018) - [j97]Peter Brusilovsky, Mike Sharples:
Editorial: A Message from the Editorial Team and an Introduction to the October-December 2018 Issue. IEEE Trans. Learn. Technol. 11(4): 413-414 (2018) - [c209]Hung Chau, Jordan Barria-Pineda, Peter Brusilovsky:
Learning Content Recommender System for Instructors of Programming Courses. AIED (2) 2018: 47-51 - [c208]Hung Chau, Jordan Barria-Pineda, Peter Brusilovsky:
Course-Adaptive Content Recommender for Course Authoring. EC-TEL 2018: 437-451 - [c207]Susan Bull, Peter Brusilovsky, Julio Guerra:
Which Learning Visualisations to Offer Students? EC-TEL 2018: 524-530 - [c206]Shaghayegh Sahebi, Peter Brusilovsky:
Student Performance Prediction by Discovering Inter-Activity Relations. EDM 2018 - [c205]Chun-Hua Tsai, Peter Brusilovsky:
Explaining Social Recommendations to Casual Users: Design Principles and Opportunities. IUI Companion 2018: 59:1-59:2 - [c204]Chun-Hua Tsai, Peter Brusilovsky:
Beyond the Ranked List: User-Driven Exploration and Diversification of Social Recommendation. IUI 2018: 239-250 - [c203]Cecilia di Sciascio, Peter Brusilovsky, Eduardo E. Veas:
A Study on User-Controllable Social Exploratory Search. IUI 2018: 353-364 - [c202]Roya Hosseini, Kamil Akhuseyinoglu, Andrew Petersen, Christian D. Schunn, Peter Brusilovsky:
PCEX: Interactive Program Construction Examples for Learning Programming. Koli Calling 2018: 5:1-5:9 - [c201]Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Giovanni Semeraro, Martijn C. Willemsen:
Recsys'18 joint workshop on interfaces and human decision making for recommender systems. RecSys 2018: 519-520 - [c200]Clifford A. Shaffer, Peter Brusilovsky, Kenneth R. Koedinger, Stephen H. Edwards:
CS Education Infrastructure for All: Interoperability for Tools and Data Analytics (Abstract Only). SIGCSE 2018: 1063 - [c199]Jordan Barria-Pineda, Julio Daniel Guerra Hollstein, Peter Brusilovsky:
A Fine-Grained Open Learner Model for an Introductory Programming Course. UMAP 2018: 53-61 - [c198]Samuel M. Bailey, Justin A. Wei, Chaoli Wang, Denis Parra, Peter Brusilovsky:
CNVis: A Web-Based Visual Analytics Tool for Exploring Conference Navigator Data. Visualization and Data Analysis 2018 - [c197]Khushboo Maulikmihir Thaker, Peter Brusilovsky, Daqing He:
Concept Enhanced Content Representation for Linking Educational Resources. WI 2018: 413-420 - [p5]Peter Brusilovsky, Daqing He:
Introduction to Social Information Access. Social Information Access 2018: 1-18 - [p4]Rosta Farzan, Peter Brusilovsky:
Social Navigation. Social Information Access 2018: 142-180 - [p3]Peter Brusilovsky, Barry Smyth, Bracha Shapira:
Social Search. Social Information Access 2018: 213-276 - [p2]Danielle H. Lee, Peter Brusilovsky:
Recommendations Based on Social Links. Social Information Access 2018: 391-440 - [e14]Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Giovanni Semeraro, Martijn C. Willemsen:
Proceedings of the 5th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, IntRS 2018, co-located with ACM Conference on Recommender Systems (RecSys 2018), Vancouver, Canada, October 7, 2018. CEUR Workshop Proceedings 2225, CEUR-WS.org 2018 [contents] - [e13]Peter Brusilovsky, Daqing He:
Social Information Access - Systems and Technologies. Lecture Notes in Computer Science 10100, Springer 2018, ISBN 978-3-319-90091-9 [contents] - 2017
- [j96]Peter Brusilovsky:
Toward Flexible MOOCs: Student-Sourcing of Learning Content at Scale. Computer 50(11): 96 (2017) - [j95]Mohd Anwar, Peter Brusilovsky:
Privacy and Territoriality Issues in an Online Social Learning Portal. Int. J. Inf. Secur. Priv. 11(1): 1-17 (2017) - [j94]Danielle Hyunsook Lee, Peter Brusilovsky:
Improving personalized recommendations using community membership information. Inf. Process. Manag. 53(5): 1201-1214 (2017) - [j93]Danielle Hyunsook Lee, Peter Brusilovsky:
How to measure information similarity in online social networks: A case study of Citeulike. Inf. Sci. 418: 46-60 (2017) - [j92]Peter Brusilovsky, Jung Sun Oh, Claudia López, Denis Parra, Wei Jeng:
Linking information and people in a social system for academic conferences. New Rev. Hypermedia Multim. 23(2): 81-111 (2017) - [j91]Roya Hosseini, Peter Brusilovsky:
A study of concept-based similarity approaches for recommending program examples. New Rev. Hypermedia Multim. 23(3): 161-188 (2017) - [j90]Peter Brusilovsky, Mike Sharples:
Editorial: A Message from the Editorial Team and an Introduction to the January-March 2017 Issue. IEEE Trans. Learn. Technol. 10(1): 1-2 (2017) - [j89]Peter Brusilovsky, Mike Sharples:
Editorial: A Message from the Editorial Team and an Introduction to the April-June 2017 issue. IEEE Trans. Learn. Technol. 10(2): 125-127 (2017) - [j88]Peter Brusilovsky, Mike Sharples:
A Message from the Editorial Team and an Introduction to the July-September 2017 Issue. IEEE Trans. Learn. Technol. 10(3): 260-261 (2017) - [j87]Peter Brusilovsky, Mike Sharples:
An Introduction to the October-December issue. IEEE Trans. Learn. Technol. 10(4): 403-404 (2017) - [c196]Rui Meng, Sanqiang Zhao, Shuguang Han, Daqing He, Peter Brusilovsky, Yu Chi:
Deep Keyphrase Generation. ACL (1) 2017: 582-592 - [c195]Peter Brusilovsky:
Intelligent Interfaces for Open Social Student Modeling. SmartLearn@IUI 2017: 1 - [c194]Casey Dugan, Peter Brusilovsky, Elizabeth M. Daly, John O'Donovan:
AWARE: Workshop on Awareness Interfaces and Interactions. IUI Companion 2017: 1-3 - [c193]Peter Brusilovsky:
Personalization in the Context of Relevance-Based Visualization. ESIDA@IUI 2017: 49-50 - [c192]Jordan Barria-Pineda, Julio Guerra, Yun Huang, Peter Brusilovsky:
Concept-Level Knowledge Visualization For Supporting Self-Regulated Learning. IUI Companion 2017: 141-144 - [c191]Katrien Verbert, Peter Brusilovsky, Chirayu Wongchokprasitti, Denis Parra, Bruno De Lemos Ribeiro Pinto Cardoso:
Supporting Conference Attendees with Visual Decision Making Interfaces. IUI Companion 2017: 161-164 - [c190]Igor Labutov, Yun Huang, Peter Brusilovsky, Daqing He:
Semi-Supervised Techniques for Mining Learning Outcomes and Prerequisites. KDD 2017: 907-915 - [c189]Kerttu Pollari-Malmi, Julio Guerra, Peter Brusilovsky, Lauri Malmi, Teemu Sirkiä:
On the value of using an interactive electronic textbook in an introductory programming course. Koli Calling 2017: 168-172 - [c188]Shaghayegh Sahebi, Peter Brusilovsky, Vladimir Bobrokov:
Cross-Domain Recommendation for Large-Scale Data. RecSysKTL 2017: 9-15 - [c187]Chun-Hua Tsai, Peter Brusilovsky:
Enhancing Recommendation Diversity Through a Dual Recommendation Interface. IntRS@RecSys 2017: 10-15 - [c186]Bruno De Lemos Ribeiro Pinto Cardoso, Peter Brusilovsky, Katrien Verbert:
IntersectionExplorer: the Flexibility of Multiple Perspectives. IntRS@RecSys 2017: 16-19 - [c185]Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Nava Tintarev, Martijn C. Willemsen:
RecSys'17 Joint Workshop on Interfaces and Human Decision Making for Recommender Systems. RecSys 2017: 384-385 - [c184]Julio Daniel Guerra Hollstein, Jordan Barria-Pineda, Christian D. Schunn, Susan Bull, Peter Brusilovsky:
Fine-Grained Open Learner Models: Complexity Versus Support. UMAP 2017: 41-49 - [c183]Chun-Hua Tsai, Peter Brusilovsky:
Leveraging Interfaces to Improve Recommendation Diversity. UMAP (Adjunct Publication) 2017: 65-70 - [c182]Roya Hosseini, Peter Brusilovsky, Michael Yudelson, Arto Hellas:
Stereotype Modeling for Problem-Solving Performance Predictions in MOOCs and Traditional Courses. UMAP 2017: 76-84 - [c181]Yun Huang, Julio Daniel Guerra Hollstein, Jordan Barria-Pineda, Peter Brusilovsky:
Learner Modeling for Integration Skills. UMAP 2017: 85-93 - [c180]Hung Chau, Jordan Barria-Pineda, Peter Brusilovsky:
Content Wizard: Concept-Based Recommender System for Instructors of Programming Courses. UMAP (Adjunct Publication) 2017: 135-140 - [c179]Chun-Hua Tsai, Peter Brusilovsky:
Providing Control and Transparency in a Social Recommender System for Academic Conferences. UMAP 2017: 313-317 - [e12]Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Nava Tintarev, Martijn C. Willemsen:
Proceedings of the 4th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with ACM Conference on Recommender Systems (RecSys 2017), Como, Italy, August 27, 2017. CEUR Workshop Proceedings 1884, CEUR-WS.org 2017 [contents] - [i1]Rui Meng, Sanqiang Zhao, Shuguang Han, Daqing He, Peter Brusilovsky, Yu Chi:
Deep Keyphrase Generation. CoRR abs/1704.06879 (2017) - 2016
- [j86]Gerhard Weber, Peter Brusilovsky:
ELM-ART - An Interactive and Intelligent Web-Based Electronic Textbook. Int. J. Artif. Intell. Educ. 26(1): 72-81 (2016) - [j85]Yi-Ling Lin, Peter Brusilovsky, Daqing He:
Finding cultural heritage images through a Dual-Perspective Navigation Framework. Inf. Process. Manag. 52(5): 820-839 (2016) - [j84]Peter Brusilovsky, Sibel Somyürek, Julio Guerra, Roya Hosseini, Vladimir Zadorozhny, Paula J. Durlach:
Open Social Student Modeling for Personalized Learning. IEEE Trans. Emerg. Top. Comput. 4(3): 450-461 (2016) - [j83]Katrien Verbert, Denis Parra, Peter Brusilovsky:
Agents Vs. Users: Visual Recommendation of Research Talks with Multiple Dimension of Relevance. ACM Trans. Interact. Intell. Syst. 6(2): 11:1-11:42 (2016) - [j82]Peter Brusilovsky, Mike Sharples, Gustavo R. Alves, Tiffany Barnes, Sherry Y. Chen, Carol H. C. Chu, Hendrik Drachsler, Seiji Isotani, Euan Lindsay, Xavier Ochoa, Mykola Pechenizkiy, Ma. Mercedes T. Rodrigo, Cristóbal Romero, Sergey A. Sosnovsky, Stefaan Ternier, Katrien Verbert:
Editorial: A Message from the Editorial Team and an Introduction to the January-March 2016 Issue. IEEE Trans. Learn. Technol. 9(1): 1-4 (2016) - [j81]Peter Brusilovsky, Mike Sharples:
Editorial: A Message from the Editorial Team and an Introduction to the April-June 2016 Issue. IEEE Trans. Learn. Technol. 9(2): 103-104 (2016) - [j80]Peter Brusilovsky, Mike Sharples:
Editorial: A Message from the Editorial Team and an Introduction to the July-September 2016 Issue. IEEE Trans. Learn. Technol. 9(3): 204 (2016) - [j79]Peter Brusilovsky, Mike Sharples:
EIC Editorial. IEEE Trans. Learn. Technol. 9(4): 300 (2016) - [c178]Shaghayegh Sahebi, Yu-Ru Lin, Peter Brusilovsky:
Tensor Factorization for Student Modeling and Performance Prediction in Unstructured Domain. EDM 2016: 502-506 - [c177]Yun Huang, Julio Guerra, Peter Brusilovsky:
A Data-Driven Framework of Modeling Skill Combinations for Deeper Knowledge Tracing. EDM 2016: 593-594 - [c176]Yun Huang, Peter Brusilovsky:
Towards Modeling Chunks in a Knowledge Tracing Framework for Students' Deep Learning. EDM 2016: 666-668 - [c175]Roya Hosseini, Peter Brusilovsky:
A Comparative Study of Visual Cues for Adaptive Navigation Support. HT 2016: 323-325 - [c174]Julio Guerra, Roya Hosseini, Sibel Somyürek,