ACM SIGIR International Conference on the Theory of Information Retrieval (2017)
Proceedings of the 1st International Workshop on LEARning Next gEneration Rankers co-located with the 3rd ACM International Conference on the Theory of Information Retrieval (ICTIR 2017), Amsterdam, The Netherlands, October 1, 2017
A Software Library for Conducting Large Scale Experiments on Learning to Rank Algorithms
Nicola Ferro
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Paolo Picello
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Gianmaria Silvello
Discovery and Promotion of Subtopic Level High Quality Domains for Programming Queries in Web Search
Arpita Das
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Saurabh Shrivastava
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Manoj Kumar Chinnakotla
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Prateek Agrawal
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Sandeep Sahoo
Learning to Rank Target Types for Entity-Bearing Queries
Darío Garigliotti
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Krisztian Balog
Multileaving for Online Evaluation of Rankers
Brian Brost
Online Learning of a Ranking Formula for Revenue and Advertiser ROI Optimization
Or Levi
Query-Level Ranker Specialization
Rolf Jagerman
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Harrie Oosterhuis
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Maarten de Rijke
Ranking Learning-to-Rank Methods
Djoerd Hiemstra
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Niek Tax
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Sander Bockting
The Impact of Negative Samples on Learning to Rank
Claudio Lucchese
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Franco Maria Nardini
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Raffaele Perego
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Salvatore Trani
Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2017, Amsterdam, The Netherlands, October 1-4, 2017
Information Retrieval Meets Game Theory
Oren Kurland
Structural Regularities in Text-based Entity Vector Spaces
Christophe Van Gysel
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Maarten de Rijke
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Evangelos Kanoulas
Knowledge Questions from Knowledge Graphs
Dominic Seyler
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Mohamed Yahya
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Klaus Berberich
DSRIM: A Deep Neural Information Retrieval Model Enhanced by a Knowledge Resource Driven Representation of Documents
Gia-Hung Nguyen
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Laure Soulier
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Lynda Tamine
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Nathalie Bricon-Souf
On Type-Aware Entity Retrieval
Darío Garigliotti
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Krisztian Balog
Enhanced Mean Retrieval Score Estimation for Query Performance Prediction
Haggai Roitman
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Shai Erera
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Oren Sar Shalom
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Bar Weiner
Can Short Queries Be Even Shorter?
Peilin Yang
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Hui Fang
Deriving Differentially Private Session Logs for Query Suggestion
Sicong Zhang
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Grace Hui Yang
Graph-based Semi-supervised Learning for Text Classification
Natalie Widmann
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Suzan Verberne
Are IR Evaluation Measures on an Interval Scale?
Marco Ferrante
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Nicola Ferro
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Silvia Pontarollo
Considering Assessor Agreement in IR Evaluation
Eddy Maddalena
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Kevin Roitero
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Gianluca Demartini
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Stefano Mizzaro
Dealing with Incomplete Judgments in Cascade Measures
Kai Hui
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Klaus Berberich
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Ida Mele
Evaluation Measures for Relevance and Credibility in Ranked Lists
Christina Lioma
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Jakob Grue Simonsen
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Birger Larsen
The Evolution of Computational Advertising
Suju Rajan
Improved Query-Topic Models Using Pseudo-Relevant Pólya Document Models
Ronan Cummins
On the Additivity and Weak Baselines for Search Result Diversification Research
Mehmet Akcay
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Ismail Sengor Altingovde
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Craig Macdonald
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Iadh Ounis
Kullback-Leibler Divergence Revisited
Fiana Raiber
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Oren Kurland
Text Retrieval based on Least Information Measurement
Weimao Ke
Mining the Temporal Statistics of Query Terms for Searching Social Media Posts
Jinfeng Rao
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Ferhan Türe
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Xing Niu
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Jimmy Lin
Modeling Controversy within Populations
Myungha Jang
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Shiri Dori-Hacohen
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James Allan
Recommendation with Social Relationships via Deep Learning
Dimitrios Rafailidis
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Fabio Crestani
Characterizing and Predicting Supply-side Engagement on Video Sharing Platforms Using a Hawkes Process Model
Rishabh Mehrotra
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Prasanta Bhattacharya
How to Exploit Relationships to Improve Predictions
Jennifer Neville
Towards the Next Generation of Personal Assistants: Systems that Know When You Forget
Seyed Ali Bahrainian
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Fabio Crestani
On Effective Dynamic Search in Specialized Domains
Felipe Moraes
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Rodrygo L. T. Santos
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Nivio Ziviani
Investigating per Topic Upper Bound for Session Search Evaluation
Zhiwen Tang
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Grace Hui Yang
Information Retrieval Evaluation as Search Simulation: A General Formal Framework for IR Evaluation
Yinan Zhang
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Xueqing Liu
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ChengXiang Zhai
A User Re-Modeling Approach to Item Recommendation using Complex Usage Data
Oren Sar Shalom
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Haggai Roitman
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Yishay Mansour
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Amihood Amir
The Positive and Negative Influence of Search Results on People's Decisions about the Efficacy of Medical Treatments
Frances A. Pogacar
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Amira Ghenai
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Mark D. Smucker
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Charles L. A. Clarke
Personalized Navigation and Random Walk on a Complex Heterogeneous Graph
Xiaozhong Liu
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Yingying Yu
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Zhuoren Jiang
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Chun Guo
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Scott Jensen
Mobile Vertical Ranking based on Preference Graphs
Yuta Kadotami
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Yasuaki Yoshida
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Sumio Fujita
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Tetsuya Sakai
Enhanced Probabilistic Classify and Count Methods for Multi-Label Text Quantification
Roy Levin
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Haggai Roitman
Retrieving Compositional Documents Using Position-Sensitive Word Mover's Distance
Martin Trapp
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Marcin Skowron
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Dietmar Schabus
Personalised Search Time Prediction using Markov Chains
Vu Tran
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David Maxwell
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Norbert Fuhr
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Leif Azzopardi
An Exploration of Serverless Architectures for Information Retrieval
Matt Crane
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Jimmy Lin
Robust Standard Deviation Estimation for Query Performance Prediction
Haggai Roitman
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Shai Erera
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Bar Weiner
Term-Mouse-Fixations as an Additional Indicator for Topical User Interests in Domain-Specific Search
Daniel Hienert
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Dagmar Kern
The Pareto Frontier of Utility Models as a Framework for Evaluating Push Notification Systems
Gaurav Baruah
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Jimmy Lin
Advanced Hidden Markov Models for Recognizing Search Phases
Sebastian Dungs
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Norbert Fuhr
Uncovering Like-minded Political Communities on Twitter
Ophélie Fraisier
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Guillaume Cabanac
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Yoann Pitarch
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Romaric Besançon
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Mohand Boughanem
Quantization in Append-Only Collections
Salman Mohammed
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Matt Crane
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Jimmy Lin
Emotion Detection from Text via Ensemble Classification Using Word Embeddings
Jonathan Herzig
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Michal Shmueli-Scheuer
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David Konopnicki
Upper Bound Approximation for BlockMaxWand
Craig Macdonald
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Nicola Tonellotto
Merge-Tie-Judge: Low-Cost Preference Judgments with Ties
Kai Hui
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Klaus Berberich
Evaluating and Analyzing Click Simulation in Web Search
Stepan Malkevich
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Ilya Markov
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Elena Michailova
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Maarten de Rijke
An Initial Investigation of Query Expansion Bias
Colin Wilkie
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Leif Azzopardi
Towards Learning Reward Functions from User Interactions
Ziming Li
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Julia Kiseleva
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Maarten de Rijke
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Artem Grotov
Benchmark for Complex Answer Retrieval
Federico Nanni
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Bhaskar Mitra
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Matt Magnusson
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Laura Dietz
Detecting Seasonal Queries Using Time Series and Content Features
Behrooz Mansouri
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Mohammad Sadegh Zahedi
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Maseud Rahgozar
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Ricardo Campos
A Contextual Bandit Approach to Dynamic Search
Angela Yang
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Grace Hui Yang
Modeling Information Flow in Dynamic Information Retrieval
Felipe Moraes
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Mário S. Alvim
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Rodrygo L. T. Santos
On the Effectiveness of Bayesian Network-based Models for Document Ranking
Xing Tan
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Fanghong Jian
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Jimmy Xiangji Huang
On Fine-Grained Geolocalisation of Tweets
Jorge David Gonzalez Paule
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Yashar Moshfeghi
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Joemon M. Jose
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Piyushimita (Vonu) Thakuriah
On Search Powered Navigation
Mostafa Dehghani
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Glorianna Jagfeld
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Hosein Azarbonyad
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Alex Olieman
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Jaap Kamps
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Maarten Marx
The Treatment of Ties in AP Correlation
Julián Urbano
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Mónica Marrero
Differential Privacy for Information Retrieval
Grace Hui Yang
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Sicong Zhang
Bandit Algorithms in Interactive Information Retrieval
Dorota Glowacka
Efficiency/Effectiveness Trade-offs in Learning to Rank
Claudio Lucchese
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Franco Maria Nardini
LEARning Next gEneration Rankers (LEARNER 2017)
Nicola Ferro
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Claudio Lucchese
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Maria Maistro
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Raffaele Perego
Search-Oriented Conversational AI (SCAI)
Mikhail S. Burtsev
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Aleksandr Chuklin
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Julia Kiseleva
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Alexey Borisov