Markus Rokicki

23 papers A* 3A 5B 1Journal 6Unranked 8
YearRankTypeTitle / Venue / Authors
2022 — conf
Learning to Rank for Knowledge Gain.
INRA/IWILDS@SIGIR
Markus Rokicki, Ran Yu, Daniel Hienert
2022 B conf
SaL-Lightning Dataset: Search and Eye Gaze Behavior, Resource Interactions and Knowledge Gain during Web Search.
CHIIR
Christian Otto, Markus Rokicki, Georg Pardi, Wolfgang Gritz, Daniel Hienert, Ran Yu, Johannes von Hoyer, Anett Hoppe, Stefan Dietze, Peter Holtz, Yvonne Kammerer, Ralph Ewerth
2022 J jnl
SaL-Lightning Dataset: Search and Eye Gaze Behavior, Resource Interactions and Knowledge Gain during Web Search.
CoRR
Christian Otto, Markus Rokicki, Georg Pardi, Wolfgang Gritz, Daniel Hienert, Ran Yu, Johannes von Hoyer, Anett Hoppe, Stefan Dietze, Peter Holtz, Yvonne Kammerer, Ralph Ewerth
2021 — conf
Domain-Specific Modeling of User Knowledge in Informational Search Sessions.
CIKM Workshops
Rui Tang, Ran Yu, Markus Rokicki, Ralph Ewerth, Stefan Dietze
2021 — conf
Predicting Knowledge Gain During Web Search Based on Multimedia Resource Consumption.
AIED (1)
Christian Otto, Ran Yu, Georg Pardi, Johannes von Hoyer, Markus Rokicki, Anett Hoppe, Peter Holtz, Yvonne Kammerer, Stefan Dietze, Ralph Ewerth
2021 J jnl
Predicting Knowledge Gain during Web Search based on Multimedia Resource Consumption.
CoRR
Christian Otto, Ran Yu, Georg Pardi, Johannes von Hoyer, Markus Rokicki, Anett Hoppe, Peter Holtz, Yvonne Kammerer, Stefan Dietze, Ralph Ewerth
2021 J jnl
Topic-independent modeling of user knowledge in informational search sessions.
Inf. Retr. J.
Ran Yu, Rui Tang, Markus Rokicki, Ujwal Gadiraju, Stefan Dietze
2018 — conf
On the Predictability of Non-CGM Diabetes Data for Personalized Recommendation.
CIKM Workshops
Tu Nguyen, Markus Rokicki
2018 J jnl
On the Predictability of non-CGM Diabetes Data for Personalized Recommendation.
CoRR
Tu Nguyen, Markus Rokicki
2018 A* conf
Predicting User Knowledge Gain in Informational Search Sessions.
SIGIR
Ran Yu, Ujwal Gadiraju, Peter Holtz, Markus Rokicki, Philipp Kemkes, Stefan Dietze
2018 J jnl
Predicting User Knowledge Gain in Informational Search Sessions.
CoRR
Ran Yu, Ujwal Gadiraju, Peter Holtz, Markus Rokicki, Philipp Kemkes, Stefan Dietze
2018 A conf
The Impact of Recipe Features, Social Cues and Demographics on Estimating the Healthiness of Online Recipes.
ICWSM
Markus Rokicki, Christoph Trattner, Eelco Herder
2017 J jnl
Evaluating trade-offs in energy-efficient error detection.
Int. J. Commun. Syst.
Markus Rokicki, Martin Drozda
2017 A conf
How Editorial, Temporal and Social Biases Affect Online Food Popularity and Appreciation.
ICWSM
Markus Rokicki, Eelco Herder, Christoph Trattner
2017 — conf
On the Relations Between Cooking Interests, Hobbies and Nutritional Values of Online Recipes: Implications for Health-Aware Recipe Recommender Systems.
UMAP (Adjunct Publication)
Christoph Trattner, Markus Rokicki, Eelco Herder
2017 A conf
The Influence of City Size on Dietary Choices and Food Recommendation.
UMAP
Hao Cheng, Markus Rokicki, Eelco Herder
2017 — conf
The Influence of City Size on Dietary Choices.
UMAP (Adjunct Publication)
Hao Cheng, Markus Rokicki, Eelco Herder
2016 A* conf
Just in Time: Controlling Temporal Performance in Crowdsourcing Competitions.
WWW
Markus Rokicki, Sergej Zerr, Stefan Siersdorfer
2016 A conf
Plate and Prejudice: Gender Differences in Online Cooking.
UMAP
Markus Rokicki, Eelco Herder, Tomasz Kusmierczyk, Christoph Trattner
2015 A* conf
Groupsourcing: Team Competition Designs for Crowdsourcing.
WWW
Markus Rokicki, Sergej Zerr, Stefan Siersdorfer
2015 — conf
Personalized Advice and Feedback for Diabetes Patients.
MuC (Workshopband)
Stephan Weibelzahl, Eelco Herder, Markus Rokicki, Dominikus Heckmann, Karsten Müssig, Janko Schildt
2015 — conf
What's On My Plate: Towards Recommending Recipe Variations for Diabetes Patients.
UMAP Workshops
Markus Rokicki, Eelco Herder, Elena Demidova
2014 A conf
Competitive Game Designs for Improving the Cost Effectiveness of Crowdsourcing.
CIKM
Markus Rokicki, Sergiu Chelaru, Sergej Zerr, Stefan Siersdorfer