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ORCIDICTIR 2017: Amsterdam, The Netherlands
- Jaap Kamps, Evangelos Kanoulas, Maarten de Rijke, Hui Fang, Emine Yilmaz:
Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2017, Amsterdam, The Netherlands, October 1-4, 2017. ACM 2017, ISBN 978-1-4503-4490-6
Keynote 1
- Oren Kurland:
Information Retrieval Meets Game Theory. 1
Paper Session 1: Entities and Knowledge Bases
- Christophe Van Gysel, Maarten de Rijke
, Evangelos Kanoulas:
Structural Regularities in Text-based Entity Vector Spaces. 3-10 - Dominic Seyler, Mohamed Yahya, Klaus Berberich:
Knowledge Questions from Knowledge Graphs. 11-18 - Gia-Hung Nguyen, Laure Soulier, Lynda Tamine, Nathalie Bricon-Souf:
DSRIM: A Deep Neural Information Retrieval Model Enhanced by a Knowledge Resource Driven Representation of Documents. 19-26 - Darío Garigliotti, Krisztian Balog:
On Type-Aware Entity Retrieval. 27-34
Paper Session 2: Query and Document Representations
- Haggai Roitman, Shai Erera, Oren Sar Shalom, Bar Weiner:
Enhanced Mean Retrieval Score Estimation for Query Performance Prediction. 35-42 - Peilin Yang, Hui Fang:
Can Short Queries Be Even Shorter? 43-50 - Sicong Zhang, Grace Hui Yang:
Deriving Differentially Private Session Logs for Query Suggestion. 51-58 - Natalie Widmann, Suzan Verberne:
Graph-based Semi-supervised Learning for Text Classification. 59-66
Paper Session 3: Evaluation
- Marco Ferrante, Nicola Ferro, Silvia Pontarollo:
Are IR Evaluation Measures on an Interval Scale? 67-74 - Eddy Maddalena, Kevin Roitero, Gianluca Demartini, Stefano Mizzaro:
Considering Assessor Agreement in IR Evaluation. 75-82 - Kai Hui, Klaus Berberich, Ida Mele:
Dealing with Incomplete Judgments in Cascade Measures. 83-90 - Christina Lioma, Jakob Grue Simonsen, Birger Larsen:
Evaluation Measures for Relevance and Credibility in Ranked Lists. 91-98
Keynote 2
- Suju Rajan:
The Evolution of Computational Advertising. 99
Paper Session 4: Retrieval Models
- Ronan Cummins:
Improved Query-Topic Models Using Pseudo-Relevant Pólya Document Models. 101-108 - Mehmet Akcay, Ismail Sengor Altingovde, Craig Macdonald, Iadh Ounis:
On the Additivity and Weak Baselines for Search Result Diversification Research. 109-116 - Fiana Raiber, Oren Kurland:
Kullback-Leibler Divergence Revisited. 117-124 - Weimao Ke:
Text Retrieval based on Least Information Measurement. 125-132
Paper Session 5: Social Media
- Jinfeng Rao, Ferhan Türe, Xing Niu, Jimmy Lin:
Mining the Temporal Statistics of Query Terms for Searching Social Media Posts. 133-140 - Myungha Jang, Shiri Dori-Hacohen, James Allan:
Modeling Controversy within Populations. 141-149 - Dimitrios Rafailidis, Fabio Crestani:
Recommendation with Social Relationships via Deep Learning. 151-158 - Rishabh Mehrotra, Prasanta Bhattacharya:
Characterizing and Predicting Supply-side Engagement on Video Sharing Platforms Using a Hawkes Process Model. 159-166
Keynote 3
- Jennifer Neville:
How to Exploit Relationships to Improve Predictions. 167
Paper Session 6: Interactive and Session Search
- Seyed Ali Bahrainian, Fabio Crestani:
Towards the Next Generation of Personal Assistants: Systems that Know When You Forget. 169-176 - Felipe Moraes, Rodrygo L. T. Santos, Nivio Ziviani:
On Effective Dynamic Search in Specialized Domains. 177-184 - Zhiwen Tang, Grace Hui Yang:
Investigating per Topic Upper Bound for Session Search Evaluation. 185-192 - Yinan Zhang, Xueqing Liu, ChengXiang Zhai:
Information Retrieval Evaluation as Search Simulation: A General Formal Framework for IR Evaluation. 193-200
Paper Session 7: User Modelling
- Oren Sar Shalom, Haggai Roitman, Yishay Mansour, Amihood Amir:
A User Re-Modeling Approach to Item Recommendation using Complex Usage Data. 201-208 - Frances A. Pogacar, Amira Ghenai, Mark D. Smucker, Charles L. A. Clarke:
The Positive and Negative Influence of Search Results on People's Decisions about the Efficacy of Medical Treatments. 209-216 - Xiaozhong Liu, Yingying Yu, Zhuoren Jiang, Chun Guo, Scott Jensen:
Personalized Navigation and Random Walk on a Complex Heterogeneous Graph. 217-224
Short Papers
- Yuta Kadotami, Yasuaki Yoshida, Sumio Fujita, Tetsuya Sakai:
Mobile Vertical Ranking based on Preference Graphs. 225-228 - Roy Levin, Haggai Roitman:
Enhanced Probabilistic Classify and Count Methods for Multi-Label Text Quantification. 229-232 - Martin Trapp, Marcin Skowron, Dietmar Schabus:
Retrieving Compositional Documents Using Position-Sensitive Word Mover's Distance. 233-236 - Vu Tran, David Maxwell, Norbert Fuhr, Leif Azzopardi:
Personalised Search Time Prediction using Markov Chains. 237-240 - Matt Crane, Jimmy Lin:
An Exploration of Serverless Architectures for Information Retrieval. 241-244 - Haggai Roitman, Shai Erera, Bar Weiner:
Robust Standard Deviation Estimation for Query Performance Prediction. 245-248 - Daniel Hienert, Dagmar Kern:
Term-Mouse-Fixations as an Additional Indicator for Topical User Interests in Domain-Specific Search. 249-252 - Gaurav Baruah, Jimmy Lin:
The Pareto Frontier of Utility Models as a Framework for Evaluating Push Notification Systems. 253-256 - Sebastian Dungs, Norbert Fuhr:
Advanced Hidden Markov Models for Recognizing Search Phases. 257-260 - Ophélie Fraisier, Guillaume Cabanac, Yoann Pitarch, Romaric Besançon, Mohand Boughanem:
Uncovering Like-minded Political Communities on Twitter. 261-264 - Salman Mohammed, Matt Crane, Jimmy Lin:
Quantization in Append-Only Collections. 265-268 - Jonathan Herzig, Michal Shmueli-Scheuer, David Konopnicki:
Emotion Detection from Text via Ensemble Classification Using Word Embeddings. 269-272 - Craig Macdonald, Nicola Tonellotto:
Upper Bound Approximation for BlockMaxWand. 273-276 - Kai Hui, Klaus Berberich:
Merge-Tie-Judge: Low-Cost Preference Judgments with Ties. 277-280 - Stepan Malkevich, Ilya Markov, Elena Michailova, Maarten de Rijke:
Evaluating and Analyzing Click Simulation in Web Search. 281-284 - Colin Wilkie, Leif Azzopardi:
An Initial Investigation of Query Expansion Bias. 285-288 - Ziming Li, Julia Kiseleva, Maarten de Rijke, Artem Grotov:
Towards Learning Reward Functions from User Interactions. 289-292 - Federico Nanni, Bhaskar Mitra, Matt Magnusson, Laura Dietz:
Benchmark for Complex Answer Retrieval. 293-296 - Behrooz Mansouri, Mohammad Sadegh Zahedi, Maseud Rahgozar, Ricardo Campos:
Detecting Seasonal Queries Using Time Series and Content Features. 297-300 - Angela Yang, Grace Hui Yang:
A Contextual Bandit Approach to Dynamic Search. 301-304 - Felipe Moraes, Mário S. Alvim, Rodrygo L. T. Santos:
Modeling Information Flow in Dynamic Information Retrieval. 305-308 - Xing Tan, Fanghong Jian, Jimmy Xiangji Huang:
On the Effectiveness of Bayesian Network-based Models for Document Ranking. 309-312 - Jorge David Gonzalez Paule, Yashar Moshfeghi, Joemon M. Jose, Piyushimita (Vonu) Thakuriah:
On Fine-Grained Geolocalisation of Tweets. 313-316 - Mostafa Dehghani, Glorianna Jagfeld, Hosein Azarbonyad, Alex Olieman, Jaap Kamps, Maarten Marx:
On Search Powered Navigation. 317-320 - Julián Urbano, Mónica Marrero:
The Treatment of Ties in AP Correlation. 321-324
Tutorials
- Grace Hui Yang, Sicong Zhang:
Differential Privacy for Information Retrieval. 325-326 - Dorota Glowacka:
Bandit Algorithms in Interactive Information Retrieval. 327-328 - Claudio Lucchese, Franco Maria Nardini:
Efficiency/Effectiveness Trade-offs in Learning to Rank. 329-330
Workshop Summaries
- Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego:
LEARning Next gEneration Rankers (LEARNER 2017). 331-332 - Mikhail Burtsev, Aleksandr Chuklin, Julia Kiseleva, Alexey Borisov:
Search-Oriented Conversational AI (SCAI). 333-334
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