Room B, Sunday, July 17, 9:00-10:30; 11:00-12:30; 14:00-15:30; 16:00-17:30.
A Novel Approach to Define and Model Contextual Features in Recommender Systems.
Parisa Lak (Ryerson University)
A Study of Information Seeking Behavior Using Physical and Online Explorations.
Dongho Choi (Rutgers, The State University of New Jersey)
Appearance-Based Retrieval of Mathematical Notation in Documents and Lecture Videos.
Kenny Davila (Rochester Institute of Technology)
Beyond Topical Relevance: Studying Understandability and Reliability in Consumer Health Search.
Joao Palotti (Vienna University of Technology)
Enhancing Information Retrieval with Adapted Word Embedding.
Navid Rekabsaz (Vienna University of Technology)
Fairness in Information Retrieval.
Aldo Lipani (Vienna University of Technology)
Going Beyond Relevance: Incorporating Effort in Information Retrieval.
Manisha Verma (University College London)
Measuring Interestingness of Political Documents.
Hosein Azarbonyad (University of Amsterdam)
Modeling User Feedback in Dynamic Search and Browsing.
Jiyun Luo (Georgetown University)
Modelling User Search Behaviour Based on Process.
Mengdie Zhuang (University of Sheffield)
Retrievability: An Independent Evaluation Measure.
Colin Wilkie (University of Glasgow)
Significant Words Representations of Entities.
Mostafa Dehghani (University of Amsterdam)
Time-Quality Trade-offs in Search.
Ryan Burton (University of Michigan)
Torii: Attribute-based Polarity Analysis with Big Datasets.
Fernando O. Gallego (University of Sevilla, ETSI Informática)
User Interaction in Mobile Web Search.
Jaewon Kim (The Australian National University)