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Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2017, Amsterdam, The Netherlands, October 1-4, 2017

Jaap Kamps, Evangelos Kanoulas, Maarten de Rijke, Hui Fang, Emine Yilmaz (Editors)


Anthology ID:
2017.ictir_conference-2017
Year:
2017
Venue:
ictir_conference
Publisher:
ACM
URL:
http://dl.acm.org/citation.cfm?id=3121050
DBLP:
conf/ictir/2017
BibTeX:
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Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2017, Amsterdam, The Netherlands, October 1-4, 2017

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Information Retrieval Meets Game Theory
Oren Kurland

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Structural Regularities in Text-based Entity Vector Spaces
Christophe Van Gysel | Maarten de Rijke | Evangelos Kanoulas

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Knowledge Questions from Knowledge Graphs
Dominic Seyler | Mohamed Yahya | Klaus Berberich

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DSRIM: A Deep Neural Information Retrieval Model Enhanced by a Knowledge Resource Driven Representation of Documents
Gia-Hung Nguyen | Laure Soulier | Lynda Tamine | Nathalie Bricon-Souf

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On Type-Aware Entity Retrieval
Darío Garigliotti | Krisztian Balog

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Enhanced Mean Retrieval Score Estimation for Query Performance Prediction
Haggai Roitman | Shai Erera | Oren Sar Shalom | Bar Weiner

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Can Short Queries Be Even Shorter?
Peilin Yang | Hui Fang

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Deriving Differentially Private Session Logs for Query Suggestion
Sicong Zhang | Grace Hui Yang

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Graph-based Semi-supervised Learning for Text Classification
Natalie Widmann | Suzan Verberne

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Are IR Evaluation Measures on an Interval Scale?
Marco Ferrante | Nicola Ferro | Silvia Pontarollo

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Considering Assessor Agreement in IR Evaluation
Eddy Maddalena | Kevin Roitero | Gianluca Demartini | Stefano Mizzaro

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Dealing with Incomplete Judgments in Cascade Measures
Kai Hui | Klaus Berberich | Ida Mele

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Evaluation Measures for Relevance and Credibility in Ranked Lists
Christina Lioma | Jakob Grue Simonsen | Birger Larsen

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The Evolution of Computational Advertising
Suju Rajan

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Improved Query-Topic Models Using Pseudo-Relevant Pólya Document Models
Ronan Cummins

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On the Additivity and Weak Baselines for Search Result Diversification Research
Mehmet Akcay | Ismail Sengor Altingovde | Craig Macdonald | Iadh Ounis

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Kullback-Leibler Divergence Revisited
Fiana Raiber | Oren Kurland

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Text Retrieval based on Least Information Measurement
Weimao Ke

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Mining the Temporal Statistics of Query Terms for Searching Social Media Posts
Jinfeng Rao | Ferhan Türe | Xing Niu | Jimmy Lin

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Modeling Controversy within Populations
Myungha Jang | Shiri Dori-Hacohen | James Allan

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Recommendation with Social Relationships via Deep Learning
Dimitrios Rafailidis | Fabio Crestani

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Characterizing and Predicting Supply-side Engagement on Video Sharing Platforms Using a Hawkes Process Model
Rishabh Mehrotra | Prasanta Bhattacharya

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How to Exploit Relationships to Improve Predictions
Jennifer Neville

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Towards the Next Generation of Personal Assistants: Systems that Know When You Forget
Seyed Ali Bahrainian | Fabio Crestani

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On Effective Dynamic Search in Specialized Domains
Felipe Moraes | Rodrygo L. T. Santos | Nivio Ziviani

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Investigating per Topic Upper Bound for Session Search Evaluation
Zhiwen Tang | Grace Hui Yang

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Information Retrieval Evaluation as Search Simulation: A General Formal Framework for IR Evaluation
Yinan Zhang | Xueqing Liu | ChengXiang Zhai

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A User Re-Modeling Approach to Item Recommendation using Complex Usage Data
Oren Sar Shalom | Haggai Roitman | Yishay Mansour | Amihood Amir

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The Positive and Negative Influence of Search Results on People's Decisions about the Efficacy of Medical Treatments
Frances A. Pogacar | Amira Ghenai | Mark D. Smucker | Charles L. A. Clarke

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Personalized Navigation and Random Walk on a Complex Heterogeneous Graph
Xiaozhong Liu | Yingying Yu | Zhuoren Jiang | Chun Guo | Scott Jensen

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Mobile Vertical Ranking based on Preference Graphs
Yuta Kadotami | Yasuaki Yoshida | Sumio Fujita | Tetsuya Sakai

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Enhanced Probabilistic Classify and Count Methods for Multi-Label Text Quantification
Roy Levin | Haggai Roitman

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Retrieving Compositional Documents Using Position-Sensitive Word Mover's Distance
Martin Trapp | Marcin Skowron | Dietmar Schabus

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Personalised Search Time Prediction using Markov Chains
Vu Tran | David Maxwell | Norbert Fuhr | Leif Azzopardi

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An Exploration of Serverless Architectures for Information Retrieval
Matt Crane | Jimmy Lin

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Robust Standard Deviation Estimation for Query Performance Prediction
Haggai Roitman | Shai Erera | Bar Weiner

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Term-Mouse-Fixations as an Additional Indicator for Topical User Interests in Domain-Specific Search
Daniel Hienert | Dagmar Kern

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The Pareto Frontier of Utility Models as a Framework for Evaluating Push Notification Systems
Gaurav Baruah | Jimmy Lin

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Advanced Hidden Markov Models for Recognizing Search Phases
Sebastian Dungs | Norbert Fuhr

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Uncovering Like-minded Political Communities on Twitter
Ophélie Fraisier | Guillaume Cabanac | Yoann Pitarch | Romaric Besançon | Mohand Boughanem

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Quantization in Append-Only Collections
Salman Mohammed | Matt Crane | Jimmy Lin

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Emotion Detection from Text via Ensemble Classification Using Word Embeddings
Jonathan Herzig | Michal Shmueli-Scheuer | David Konopnicki

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Upper Bound Approximation for BlockMaxWand
Craig Macdonald | Nicola Tonellotto

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Merge-Tie-Judge: Low-Cost Preference Judgments with Ties
Kai Hui | Klaus Berberich

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Evaluating and Analyzing Click Simulation in Web Search
Stepan Malkevich | Ilya Markov | Elena Michailova | Maarten de Rijke

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An Initial Investigation of Query Expansion Bias
Colin Wilkie | Leif Azzopardi

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Towards Learning Reward Functions from User Interactions
Ziming Li | Julia Kiseleva | Maarten de Rijke | Artem Grotov

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Benchmark for Complex Answer Retrieval
Federico Nanni | Bhaskar Mitra | Matt Magnusson | Laura Dietz

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Detecting Seasonal Queries Using Time Series and Content Features
Behrooz Mansouri | Mohammad Sadegh Zahedi | Maseud Rahgozar | Ricardo Campos

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A Contextual Bandit Approach to Dynamic Search
Angela Yang | Grace Hui Yang

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Modeling Information Flow in Dynamic Information Retrieval
Felipe Moraes | Mário S. Alvim | Rodrygo L. T. Santos

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On the Effectiveness of Bayesian Network-based Models for Document Ranking
Xing Tan | Fanghong Jian | Jimmy Xiangji Huang

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On Fine-Grained Geolocalisation of Tweets
Jorge David Gonzalez Paule | Yashar Moshfeghi | Joemon M. Jose | Piyushimita (Vonu) Thakuriah

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On Search Powered Navigation
Mostafa Dehghani | Glorianna Jagfeld | Hosein Azarbonyad | Alex Olieman | Jaap Kamps | Maarten Marx

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The Treatment of Ties in AP Correlation
Julián Urbano | Mónica Marrero

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Differential Privacy for Information Retrieval
Grace Hui Yang | Sicong Zhang

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Bandit Algorithms in Interactive Information Retrieval
Dorota Glowacka

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Efficiency/Effectiveness Trade-offs in Learning to Rank
Claudio Lucchese | Franco Maria Nardini

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LEARning Next gEneration Rankers (LEARNER 2017)
Nicola Ferro | Claudio Lucchese | Maria Maistro | Raffaele Perego

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Search-Oriented Conversational AI (SCAI)
Mikhail S. Burtsev | Aleksandr Chuklin | Julia Kiseleva | Alexey Borisov