SIGIR 2014 Accepted Short Papers List

Posted by jeffy Posted on 1:28 PM with 21 comments

SIGIR 2014 Accepted Short Papers List

NOTE to presenters: Posters are to be A0 portrait or smaller. That is, 841mm x 1189mm, or 33.1 inches x 46.8 inches.
Included here is a tentative list of the short papers. Titles and author lists are subject to change. Short papers will be presented as posters during the poster session.

•Search Result Diversification via Data Fusion
Shengli Wu
•Hashtag Recommendation for Hyperlinked Tweets
Surendra Sedhai, Aixin Sun
•Personalized Document Re-ranking Based on Bayesian Probabilistic Matrix Factorization
Fei Cai, Shangsong Liang, Maarten de Rijke
•Using the Cross-Entropy Method to Re-Rank Search Results
Haggai Roitman, Shay Hummel, Oren Kurland
•Computing and applying topic-level user interactions in microblog recommendation
Xiao Lu
•Towards Context-Aware Search with Right Click 
Aixin Sun, Chii-Hian Lou
•Rendering Expressions to Improve Accuracy of Relevance Assessment for Math Search
Matthias Reichenbach, Richard Zanibbi, Anurag Agarwal
•Exploring Recommendations in Internet of Things
Lina Yao, Quan Z. Sheng, Anne H. Ngu, Helen Ashman, Xue Li
•Sig-SR: SimRank Search over Singular Graphs
Yu Weiren
•Old Dogs Are Great at New Tricks: Column Stores for IR Prototyping
Hannes Muhleisen, Thaer Samar, Jimmy Lin, Arjen P. de Vries
•The Role of Network Distance in LinkedIn People Search 
Shih-Wen Huang, Daniel Tunkelang, Karrie Karahalios
•Latent Community Discovery Through Enterprise User Search Query Modeling
Kevin Carter, Rajmonda Caceres, Ben Priest
•Examining Collaborative Query Reformulation: A Case of Travel Information Searching
Abu Shamim Mohammad Arif, Jia Tina Du, Ivan Lee
•Influential Nodes Selection: A Data Reconstruction Perspective
Zhefeng Wang, Hao Wang, Qi Liu, Enhong Chen
•A Fusion Approach to Cluster Labeling
Haggai Roitman, Shay Hummel, Michal Shmueli-Scheuer
•Evaluating the Effort Involved in Relevance Assessments for Images
Martin Halvey, Robert Villa
•Diversifying Query Suggestions Based on Query Documents
Youngho Kim, Bruce Croft
•Comparing Client and Server Dwell Time Estimates for Click-Level Satisfaction Prediction
Youngho Kim, Ahmed Hassan, Ryen W. White, Imed Zitouni
•Score-Safe Term Dependency Processing with Hybrid Indexes
Matthias Petri, Alistair Moffat, Shane Culpepper
•Co-Training on Authorship Attribution with Very Few Labeled Examples: Methods vs. Views
Tieyun Qian, Bing Liu, Ming Zhong, Guoliang He
•Probabilistic Text Modeling with Orthogonalized Topics
Enpeng Yao, Guoqing Zheng
•Evaluating non-deterministic retrieval systems
Gaya Jayasinghe, William Webber, Mark Sanderson, Lasitha Dharmasena, Shane Culpepper
•Extending test collection pools without manual runs
Gaya Jayasinghe, William Webber, Mark Sanderson, Shane Culpepper
•The Search Duel: A Response to a Strong Ranker
Peter Izsak, Fiana Raiber, Oren Kurland, Moshe Tennenholtz
•Predicting Previous Version of a Product Entity
Priya Radhakrishnan, Manish Gupta, Vasudeva Varma
•Predicting Burst and Popularity of Hashtags in Real-Time
Shoubin Kong
•Probabilistic Ensemble Learning for Vietnamese Word Segmentation
Wuying Liu, Li Lin
•Improving Unsupervised Query Segmentation using Parts-of-Speech Sequence Information
Rishiraj Saha Roy, Yogarshi Vyas, Niloy Ganguly, Monojit Choudhury
•Building a Query Log via Crowdsourcing
Omar Alonso, Maria Stone
•Web Search without 'Stupid' Results
Aleksandra Lomakina, Nikita Povarov, Pavel Serdyukov
•Discovering Real-World Use Cases for a Multimodal Math Search Interface
Keita Del Valle Wangari, Richard Zanibbi, Anurag Agarwal
•Improving Search Personalisation with Dynamic Group Formation
Thanh Vu, Dawei Song, alistair willis, Son N. Tran
•Detection of Abnormal Profiles on Group attacks in Recommender Systems
Wei Zhou, Yun Sing Koh, Junhao Wen, Shafiq Alam, Gillian Dobbie
•On Run Diversity in "Evaluation as a Service"
Ellen Voorhees, Jimmy Lin, Miles Efron
•Evaluating Answer Passages using Summarization Measures
Mostafa Keikha, Jae Hyun Park, Bruce Croft
•Analyzing Bias in CQA-based Expert Finding Test Sets
Reyyan Yeniterzi, Jamie Callan
•Understanding Negation and Family History to Improve Clinical Information Retrieval
Bevan Koopman, Guido Zuccon
•Modeling Dual Role Preferences for Trust-aware Recommendation
Weilong Yao, Jing He, Guangyan Huang, Yanchun Zhang
•Mouse Movement During Relevance Judging: Implications for Determining User Attention
Mark D Smucker, Xiaoyu Guo, Andrew Toulis
•PAAP: Prefetch-Aware Admission Policies for Query Results Cache in Web Search Engines
Hongyuan Ma
•User Geospatial Context for Music Recommendation in Microblogs
Markus Schedl, Andreu Vall, Katayoun Farrahi
•Compositional Data Analysis (CoDA) approaches to distance in information retrieval
Paul Thomas, David Lovell
•Group Latent Factor Model for Recommendation with Multiple User Behaviors
Jian Cheng, Ting Yuan, Hanqing Lu
•Hashing with List-wise Learning to Rank
Zhou Yu, Fei Wu, Siliang Tang, Yin Zhang, Jian Shao, Yueting Zhuang
•A Burstiness-aware Approach for Document Dating
Dimitrios Kotsakos, Theodoros Lappas, Dimitrios Kotzias, Dimitrios Gunopulos, Nattiya Kanhabua, Kjetil Norvag
•An Analysis of Query Difficulty for Information Retrieval in the Medical Domain
Lorraine Goeuriot, Liadh Kelly, Johannes Leveling
•Mobile Query Reformulations
Milad Shokouhi, Rosie Jones, Umut Ozertem, Karthik Raghunathan, Fernando Diaz
•On Peculiarities of Positional Effects in Sponsored Search
Vyacheslav Alipov, Valery Topinsky, Ilya Trofimov
•A Collective Topic model for Milestone Paper Discovery
Ziyu Lu, Nikos Mamoulis, David Cheung
•Document Summarization Based on Word Associations
Oskar Gross, Hannu Toivonen, Antoine Doucet
•Do Users Rate or Review? Boost Phrase-level Sentiment Analysis by Review Sentiment Classification
Kun Zhang
•Random Subspace for Binary Codes Learning in Large Scale Image Retrieval
Cong Leng, Jian Cheng, Hanqing Lu
•Incorporating Query-Specific Feedback into Learning-to-rank Models
Ethem F. Can, Bruce Croft, R. Manmatha
•Large-Scale Author Verification: Temporal and Topical Influences
Michiel van Dam, Claudia Hauff
•Evaluating Mobile Web Search Performance by Taking Good Abandonment into Account
Olga Arkhipova, Lidia Grauer
•Assessing the Usability and Reusability of an E-Discovery Privilege Test Collection
Jyothi Vinjumur, Douglas W Oard, Jiaul Paik
•Modeling Evolution of a Social Network using Temporal Graph Kernels
Akash Anil, Niladri Sett, Ranbir Sanasam
•On User’s Interactions with Query Auto-Completion
Bhaskar Mitra, Milad Shokouhi, Filip Radlinski, Katja Hofmann
•Re-ranking Approach to Classification in Large-scale Power-law Distributed Category Systems
Rohit Babbar, Ioannis partalas, Eric Gaussier, Massih Reza Amini
•Enhancing Personalization via Search Activity Attribution
Adish Singla, Ryen W. White, Ahmed Hassan, Eric Horvitz
•A Syntax-Aware Re-ranker for Microblog Retrieval
Aliaksei Severyn, Alessandro Moschitti, Manos Tsagkias, Richard Berendsen, Maarten de Rijke
•Weighted Aspect-Based Collaborative Filtering
YanPing Nie, Yang Liu, Xiaohui Yu
•Evaluating Intuitiveness of Vertical-Aware Click Models
Aleksandr Chuklin, Ke Zhou, Anne Schuth, Floor Sietsma, Maarten de Rijke
•Recipient Recommendation in Enterprises using Social Graphs and Email Content
David Graus, David van Dijk, Manos Tsagkias, Wouter Weerkamp, Maarten de Rijke
•Analyzing the Content Emphasis of Web Search Engines
Mohammed Alam, Doug Downey
•Effects of Task and Domain on Searcher Attention and Cognitive Load
Dmitry Lagun, Eugene Agichtein
•Learning Sufficient Queries for Entity Filtering
Miles Efron, Craig Willis, Garrick Sherman
•PatentLine: Analyzing Technology Evolution on Multi-View Patent Graphs
Longhui Zhang, Lei Li, Tao Li
•Query Performance Prediction for Entity Retrieval
Hadas Raviv, Oren Kurland, David Carmel
•Second order probabilistic models for Within-Document Novelty Detection in Academic Articles
Laurence Park, Simeon Simoff
•Modeling the Dynamics of Personal Expertise
Yi Fang, Archana Godavarthy
•Annotation Similarity Model in Passage Ranking for Historical Fact Validation
Jun Araki, Jamie Callan
•To Tip or not to Tip: Exploring the Effectiveness of Search Hints for Complex Informational Tasks
Denis Savenkov, Eugene Agichtein
•The Effect of Sampling Strategy on Inferred Measures
Ellen Voorhees
•Cache-Conscious Runtime Optimization for Ranking Ensembles
Xun Tang, Xin Jin, Tao Yang
•Bridging Temporal Context Gaps using Time-Aware Re-Contextualization
Andrea Ceroni, Nam Khanh Tran, Nattiya Kanhabua, Claudia Niederee
•An Enhanced Context-sensitive Proximity Model for Probabilistic Information Retrieval
Jiashu Zhao, Jimmy Huang
•On the Information Difference between Standard Retrieval Models
Peter B. Golbus, Javed A Aslam
•A POMDP Model for Content-Free Document Re-ranking
Sicong Zhang, Jiyun Luo, Grace Hui Yang
•Clustering Search Results for Diversification Using Score Differences
Sadegh Kharazmi, David Vallet, Falk Scholer, Mark Sanderson
•TREC: Topic engineeRing ExerCise
Shane Culpepper, Stefano Mizzaro, Mark Sanderson, Falk Scholer
•How K-12 Students Search For Learning? Analysis of an Educational Search Engine Log
Arif Usta, Ismail S Altingovde, Bahattin Vidinli, Rifat Ozcan, Ozgur Ulusoy
•The Correlation between Cluster Hypothesis Tests and the Effectiveness of Cluster-Based Retrieval
Fiana Raiber, Oren Kurland
•The Effect of Expanding Relevance Judgements with Duplicates
Gaurav M Baruah, Adam Roegiest, Mark D Smucker
•On Correlation of Absence Time and Search Effectiveness
Sunandan Chakraborty, Filip Radlinski, Milad Shokouhi, Paul Baecke
•Necessary and Frequent Terms in Queries 
Jiepu Jiang, James Allan
•Extracting Topics Based on Authors, Recipients and Content in Microblogs
Nazneen Fatema Rajani, Kate McArdle
•Exploiting Twitter and Wikipedia for the Annotation of Event Images
Philip McParlane, Joemon Jose
•Learning to Translate Queries for CLIR
Artem Sokolov, Felix Hieber, Stefan Riezler
•Predicting Query Performance In Microblog Retrieval
Jesus Alberto Rodriguez Perez
•An Event Extraction Model based on a Timeline and User Reliability Analysis on Twitter
Bayar Tsolmon, Kyung-Soon Lee
•What Makes Data Robust: A Data Analysis in Learning to Rank
Shuzi Niu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng, Xiubo Geng
•Learning to Bridge Colloquial and Formal Language Applied to Linking and Search of E-Commerce Data
Ivan Vulic, susana zoghbi, Marie-Francine Moens
•Uncovering the Unarchived Web
Thaer Samar, Hugo C. Huurdeman, Anat Ben-David, Jaap Kamps, Arjen P. de Vries
•Inferring Topic-Dependent Influencing Roles of Twitter Users
Chengyao Chen, Dehong Gao, Wenjie Li
•Reputation Analysis with a Ranked Sentiment-Lexicon
Filipa Peleja, Joao Santos, Joao Magalhaes
•On Predicting Religion Labels in Microblogging Networks
Minh-Thap Nguyen, Ee-Peng Lim
•Efficiently Identify Local Frequent Keyword Co-occurrence Patterns in Geo-tagged Twitter Stream
Xiaoyang Wang, Ying Zhang, Wenjie Zhang, Xuemin Lin
•Item Group Based Pairwise Preference Learning for Personalized Ranking
Qiu Shuang, Jian Cheng, Ting Yuan, Cong Leng, Hanqing Lu
•Where Not to Go? Detecting Road Hazards Using Twitter
Yi Fang, Avinash Kumar, Miao Jiang
•Enhancing Sketch-based Sport Video Retrieval by Suggesting Relevant Motion Paths
Ihab Al Kabary, Heiko Schuldt
•Dynamic Location Models
Vanessa Murdock
•Wikipedia-Based Query Performance Prediction
Gilad Katz, Anna Shtok, Oren Kurland, Bracha Shapira, Lior Rokach
•A Revisit to Social Network-Based Recommender System
Hui Li, Dingming Wu, Nikos Mamoulis
Lable：
Read more »
Lable：

SIGIR 2014 accepted Full Papers

Posted by jeffy Posted on 1:28 PM with 24 comments

SIGIR 2014 accepted Full Papers

Included here is a tentative list of the full papers and their allocation into sessions. Note: titles, author lists, and allocations are subject to change.

Tuesday-1a
Risks and Rewards (Room 5, 10:30-11:45)


•Modelling Interaction with Economic Models of Search
Leif Azzopardi (University of Glasgow)
•Query-Performance Prediction: Setting the Expectations Straight
Fiana Raiber (Technion - Israel Institute of Technology), Oren Kurland (Technion)
•Hypothesis Testing for Risk-Sensitive Evaluation of Retrieval Systems
Bekir Taner Dincer (Mugla University), Craig Macdonald (U. Glasgow), Iadh Ounis (University of Glasgow)

Tuesday-1b
#microblog #sigir2014 (Room 6, 10:30-11:45)


•Temporal Feedback for Tweet Search with Non-Parametric Density Estimation
Miles Efron (University of Illinois), Jimmy Lin (University of Maryland), Jiyin He (Centrum Wiskunde Informatica), Arjen P. de Vries (Centrum Wiskunde & Informatica)
•Fine-Grained Location Extraction from Tweets with Temporal Awareness
Chenliang Li (Wuhan University), Aixin Sun (Nanyang Technological University)
•Collaborative Personalized Twitter Search with Topic-Language Models
Jan Vosecky (HKUST), Kenneth Wai-Ting Leung (HKUST), Wilfred Ng (HKUST)

Tuesday-1c
Recommendation (Room 7, 10:30-11:45)


•Gaussian Process Factorization Machines for Context-aware Recommendations
Trung Nguyen (NICTA & ANU), Alexandros Karatzoglou (Telefonica Research), Linas Baltrunas (Telefonica Research)
•Addressing Cold Start in Recommender Systems: A Semi-supervised Co-training Algorithm
Mi Zhang (Fudan University), Jie Tang (Tsinghua University), Xuchen Zhang (Fudan University), Xiangyang Xue
•Explicit Factor Models for Explainable Recommendation based on Phrase-level Sentiment Analysis
Yongfeng Zhang (Tsinghua University), Min Zhang (Dept of Computer Science, Tsinghua University), Yi Zhang (Unversity of California Santa Cruz)

Tuesday-2a
(I Can't Get No) Satisfaction (Room 5, 1:15-2:55)


•Context-Aware Web Search Abandonment Prediction
Yang Song (Microsoft Research, Redmond), Xiaolin Shi (Microsoft), Ryen W. White (Microsoft Research), Ahmed Hassan (Microsoft Research)
•Impact of Response Latency on User Behavior in Web Search
Ioannis Arapakis (Yahoo Labs Barcelona), Xiao Bai (Yahoo Labs, Barcelona), B. Barla Cambazoglu (Yahoo Labs)
•Towards Better Measurement of Attention and Satisfaction in Mobile Search
Dmitry Lagun (Emory University), Chih-Hung Hsieh (Google), Dale Webster (Google), Vidhya Navalpakkam (Google)
•Modeling Action-level Satisfaction for Search Task Satisfaction Prediction
Hongning Wang (University of Illinois at Urbana-Champaign), Yang Song (Microsoft Research, Redmond), Ming-Wei Chang (Microsoft Research), Xiaodong He (Microsoft Research), Ahmed Hassan (Microsoft Research), Ryen W. White (Microsoft Research)

Tuesday-2b
Doctors and Lawyers (Room 6, 1:15-2:55)


•Circumlocution in Diagnostic Medical Queries
Isabelle Stanton (UC Berkeley), Samuel Ieong (Microsoft Research), Nina Mishra (Microsoft Research)
•Interactions between Health Searchers and Search Engines
Georg Schoenherr (Carnegie Mellon University), Ryen W. White (Microsoft Research)
•Evaluation of Machine Learning Protocols for Technology-Assisted Review in Electronic Discovery
Gordon V. Cormack (University of Waterloo), Maura R. Grossman (Wachtell, Lipton, Rosen & Katz)
•ReQ-ReC: High-Recall Retrieval with Rate-Limited Queries
Cheng Li (University of Michigan), Yue Wang (University of Michigan), Paul Resnick (University of Michigan), Qiaozhu Mei (University of Michigan)

Tuesday-2c
Hashing and Efficiency (Room 7, 1:15-2:55)


•Supervised Hashing with Latent Factor Models
Peichao Zhang (Shanghai Jiao Tong University), Wei Zhang (Shanghai Jiao Tong University), Wu-Jun Li (Nanjing University), Minyi Guo (Shanghai Jiao Tong University)
•Preference Preserving Hashing for Efficient Recommendation
Zhiwei Zhang (Purdue University), Qifan Wang (Purdue University), Lingyun Ruan (Purdue University), Luo Si (Purdue University)
•Load Balancing for Partition-based Similarity Search
Xun Tang (University of California at Santa Barbara), Maha Alabduljalil (UCSB), Xin Jin, Tao Yang (University of California at Santa Barbara)
•Estimating Global Statistics for Unstructured P2P Search in the Presence of Adversarial Peers
Sami Richardson (University College London), Ingemar Cox (University College London)

Tuesday-3a
Social Media (Room 5, 3:25-5:05)


•Hierarchical Multi-Label Classification of Social Text Streams
Zhaochun Ren (University of Amsterdam), Maria-Hendrike Peetz (University of Amsterdam), Shangsong Liang (U. of Amsterdam), Willemijn van Dolen, Maarten de Rijke (University of Amsterdam)
•An Adaptive Teleportation Random Walk Model for Learning Social Tag Relevance
Xiaofei Zhu (L3S Research Center), Wolfgang Nejdl (L3S Research Center), Mihai Georgescu (L3S Research Center)
•Predicting the Popularity of Web 2.0 Items Based on User Comments
He Xiangnan (National University of Singapore), Ming Gao (Singapore Management University), Min-Yen Kan (National University of Singapore), Yiqun Liu (Tsinghua University), Kazunari Sugiyama (School of Computing)
•Recommending Social Media Content to Community Owners 
Inbal Ronen (IBM), Ido Guy (IBM Research India), Elad Kravi (Technion - Israel Institute of Technology), Maya Barnea (IBM Research)

Tuesday-3b
Indexing and Efficiency (Room 6, 3:25-5:05)


•Predictive Parallelization: Taming Tail Latencies in Web Search
Myeongjae Jeon (Rice University), Saehoon Kim (POSTECH), Seung-Won Hwang (POSTECH), Yuxiong He (Microsoft Research), Sameh Elnikety (Microsoft Research), Alan Cox (Rice University), Scott Rixner (Rice University)
•Skewed Partial Bitvectors for List Intersection
Andrew Kane (University of Waterloo), Frank Tompa (University of Waterloo)
•Partitioned Elias-Fano Indexes
Giuseppe Ottaviano (ISTI-CNR), Rossano Venturini (University of Pisa)
•Principled Dictionary Pruning for Low-Memory Corpus Compression
Jiancong Tong (Nankai University), Anthony Wirth (The University of Melbourne), Justin Zobel (University of Melbourne)

Tuesday-3c
E Pluribus Unum (Room 7, 3:25-5:05)


•Learning for Search Result Diversification
Yadong Zhu (ICT)
•Fusion Helps Diversification
Shangsong Liang (U. of Amsterdam), Zhaochun Ren (University of Amsterdam), Maarten de Rijke (University of Amsterdam)
•Utilizing Relevance Feedback in Fusion-Based Retrieval
Ella Rabinovich (IBM Research Lab, Haifa), Oren Kurland (Technion)
•A Simple Term Frequency Transformation Model for Effective Pseudo Relevance Feedback
Zheng Ye (York University, Toronto, Ontario, Canada), Jimmy Huang (York University, Toronto, Ontario, Canada)

Wednesday-4a
Think Globally, Act Locally (Room 5, 10:30-11:45)


•Who is the Barbecue King of Texas?: A Geo-Spatial Approach to Finding Local Experts
Zhiyuan Cheng (Texas A&M University), James Caverlee (Texas A&M University), Himanshu Barthwal (Texas A&M University), Vandana Bachani (Texas A&M University)
•Your Neighbors Affect Your Ratings: On Geographical Neighborhood Influence to Rating Prediction
Longke Hu (Nanyang Technological University), Aixin Sun (Nanyang Technological University), Yong Liu (Nanyang Technological University)
•Processing Spatial-keyword Query as a Top-k Aggregation Query 
Dongxiang Zhang (National University of Singapore), Chee-Yong Chan, Kian-Lee Tan

Wednesday-4b
Scientia Potentia Est (Room 6,10:30-11:45)


•Entity Query Feature Expansion using Knowledge Base Links
Jeffrey Dalton (CIIR, University of Massachusetts Amhest), James Allan (University of Massachusetts Amherst), Laura Dietz (CIIR, University of Massachusetts Amhest)
•QUADS: Question Answering for Decision Support
Zi Yang (Carnegie Mellon University), Eric nyberg
•Topic Labeled Text Classification: A Weakly Supervised Approach
Swapnil Hingmire (Tata Research Development And Design Centre), Sutanu Chakraborti (IIT Madras, India)

Wednesday-4c
More Hashing (Room 7, 10:30-11:45)


•Discriminative Coupled Dictionary Hashing for Fast Cross-media Retrieval
Zhou Yu (Zhejiang University), Fei Wu (Zhejiang University), Yi Yang (University of Queensland), Qi Tian (University of Texas at San Antonio now at Microsoft Research), Jiebo Luo (University of Rochester), Yueting Zhuang (Zhejiang University)
•Active Hashing with Joint Data Example and Tag Selection
Qifan Wang (Purdue University), Luo Si (Purdue University)
•Latent Semantic Sparse Hashing for Cross-Modal Similarity Search
Zhou Jile (Tsinghua University), Guiguang Ding (Tsinghua University), Yuchen Guo (Tsinghua University)

Wednesday-5a
Brains!!! (Room 5, 3:25-4:15)


•Predicting Term-Relevance from Brain Signals
Manuel J. A. Eugster (Helsinki Institute for Information Technology), Ruotsalo Tuukka (Helsinki Institute for Information Technology), Michiel M SpapÈ (Helsinki Institute for Information Technology), Ilkka Kosunen (University of Helsinki), Oswald Barral (University of Helsinki), Niklas Ravaja (University of Helsinki), Giulio Jacucci (University of Helsinki), Samuel Kaski (Aalto University)
•Multidimensional Relevance Modeling via Psychometrics and Crowdsourcing
Yinglong Zhang (University of Texas at Austin), Jin Zhang (University of Texas at Austin ), Matthew Lease (University of Texas at Austin), Jacek Gwizdka (University of Texas at Austin )

Wednesday-5b0
Auto-completio (Room 6, 3:25-4:15)


•Learning User Reformulation Behavior for Query Auto-completion
Jyun-Yu Jiang (National Taiwan University), Pu-Jen Cheng (Dept. of CSIE, National Taiwan University)
•A Two-dimensional Click Model for Query Auto-completion
Yanen Li (University of Illinois at Urbana-Champaign), Anlei Dong (Yahoo! Labs), Hongning Wang (University of Illinois at Urbana-Champaign), Hongbo Deng (Yahoo Labs), Yi Chang (Yahoo Labs), ChengXiang Zhai (University of Illinois at Urbana-Champaign)

Wednesday-5b1
How to Win Friends and Influence People (Room 6, 4:15-5:05)


•On Measuring Social Friend Interest Similarities in Recommender Systems
Hao Ma (Microsoft Research)
•IMRank: Influence Maximization via Finding Self-Consistent Ranking
Suqi Cheng (Institute of Computing Technology), Huawei Shen (Institute of Computing Technology, CAS), Junming Huang (Institute of Computing Technology, CAS), Wei Chen (Institute of Computing Technology, CAS), Xueqi Cheng (Institute of Computing Technology, CAS)

Wednesday-5c
Collaborative Complex Personalization(Room 7, 3:25-5:05)


•User-Driven System-Mediated Collaborative Information Retrieval
Laure Soulier (IRIT - University Paul sabatier), Chirag Shah (Rutgers University), Lynda Tamine (IRIT - University of Toulouse)
•SearchPanel: Framing Complex Search Needs
Pernilla Qvarfordt (FX Palo Alto Laboratory, Inc.), Simon Tretter (University of Amsterdam), Gene Golovchinsky (FX Palo Alto Laboratory), Tony Dunnigan (FX Palo Alto Laboratory, Inc.)
•Cohort Modeling for Enhanced Personalized Search
Jinyun Yan (Rutgers University), Wei Chu (Microsoft Bing), Ryen W. White (Microsoft Research)
•Characterizing Multi-Click Behavior and the Risks and Opportunities of Changing Results during Use
Chia-Jung Lee (University of Massachusetts Amherst), Jaime Teevan (Microsoft Research), Sebastian de la Chica (Microsoft Bing)

Thursday-6a
#moremicroblog #sigir2014 (Room 5, 10:30-11:45)


•Learning Similarity Functions for Topic Detection in Online Reputation Monitoring
Damiano Spina (UNED NLP & IR Group), Julio Gonzalo (UNED), Enrique Amigó (UNED)
•Predicting Trending Messages and Diffusion Participants in Microblogging Network
Jingwen Bian (National University of Singapore), Yang Yang (National University of Singapore), Tat Seng Chua (National University of Singapore)
•Leveraging Knowledge across Media for Spammer Detection in Microblogging
Xia Hu (Arizona State University), Jiliang Tang (Arizona State University), Huan Liu

Thursday-6b
Scents and Sensibility (Room 6, 10:30-11:45)


•Using Information Scent and Need for Cognition to Understand Online Search Behavior 
Wan-Ching Wu (University of North Carolina at Chapel Hill), Diane Kelly (University of North Carolina Chapel Hill), Avneesh Sud (Microsoft Bing)
•Discrimination Between Tasks with User Activity Patterns During Information Search
Michael J. Cole (Rutgers University), Chathra Hendahewa (Rutgers Univesity), Nicholas J Belkin (Rutgers, The State University of New Jersey), Chirag Shah (Rutgers University)
•Investigating Users' Query Formulations for Cognitive Search Intents
Makoto Kato (Kyoto University), Takehiro Yamamoto (Kyoto University), Hiroaki Ohshima (Kyoto University), Katsumi Tanaka (Kyoto University)

Thursday-6c
Users vs. Models (Room 7, 10:30-11:45)


•Win-Win Search: Dual-Agent Stochastic Game in Session Search
Jiyun Luo (Georgetown University), Sicong Zhang (Georgetown University), Grace Hui Yang (Georgetown University)
•Injecting User Models and Time into Precision via Markov Chains
Marco Ferrante (University of Padua), Nicola Ferro (University of Padua), Maria Maistro (University of Padua)
•Searching, Browsing, and Clicking in a Search Session
Jiepu Jiang (University of Massachusetts Amherst), Daqing He (University of Pittsburgh), James Allan (University of Massachusetts Amherst)

Thursday-7a
Sentiments (Room 5, 1:40-2:55)


•Coarse-to-Fine Review Selection via Supervised Joint Aspect and Sentiment Model
Zhen Hai (Nanyang Technological University, Singapore), Gao Cong, Kuiyu Chang (Nanyang Technological University, Singapore), Wenting Liu (Nanyang Technological University, Singapore), Peng Cheng (Nanyang Technological University, Singapore)
•Cross-Domain and Cross-Category Emotion Tagging for Comments of Online News
Ning Zhang (Purdue University), Ying Zhang (Nankai University), Luo Si (Purdue University), Yanshan Lu (Purdue University), Xiaojie Yuan (NanKai University)
•Economically-Efficient Sentiment Stream Analysis
Roberto Lourenco de Oliveira Junior (UFMG), Adriano Veloso (UFMG), Wagner Meira Jr. (UFMG), Adriano Pereira (UFMG), Renato Ferreira (UFMG), Srinivasan Parthasarathy (OSU)

Thursday-7b
More Like Those (Room 6, 1:40-2:55)


•New and Improved: Modeling Versions to Improve App Recommendation
Jovian Lin (National University of Singapore), Kazunari Sugiyama (School of Computing), Min-Yen Kan (National University of Singapore), Tat Seng Chua (National University of Singapore)
•Bundle Recommendation in eCommerce
Zhu Tao (WalmartLabs), Patrick Harrington (WalmartLabs), Junjun Li (WalmartLabs), Lei Tang (WalmartLabs)
•Does Product Recommendation Meet its Waterloo in Unexplored Categories? No, Price Comes to Help
Chen Jia (Shanghai Jiaotong University), Qin Jin (Renmin University of China), Shiwan Zhao (IBM CRL), Shenghua Bao (IBM CRL), Li Zhang (IBM CRL), Zhong Su (IBM CRL), Yong Yu (Shanghai Jiaotong University)

Thursday-7c
Signs and Symbols (Room 7, 1:40-2:55)


•Query Expansion for Cross-script Information Retrieval
Parth Gupta (UPV), Monojit Choudhury (Microsoft Research India), Rafael Banchs (Institute for Infocomm Research), Paolo Rosso, Kalika Bali (Microsoft Research India)
•Retrieval of Similar Chess Positions
Debasis Ganguly (Dublin City University)
•A Mathematics Retrieval System for Formulae in Layout Presentations
Xiaoyan Lin (Peking University), Liangcai Gao, Xuan Hu, Xiaozhong Liu (Indiana University Bloomington), Zhi Tang

Thursday-8a
Picture This (Room 5, 3:25-5:05)


•Recognizing and Annotating Places-of-Interest in Smartphone Photos
Pai Peng, Lidan Shou, Chen Ke, Chen Gang, Sai Wu
•Click-through-based Cross-view Learning for Image Search
Yingwei Pan (University of Science and Technology of China), Ting Yao (City University of Hong Kong), Tao Mei (Microsoft Research), Houqiang Li (University of Science and Technology of China), Chong-Wah Ngo, Yong Rui (Microsoft Research)
•Learning to Personalize Trending Image Search Suggestion
Chun-Che Wu (National Taiwan University), Tao Mei (Microsoft Research), Winston H. Hsu (Dept. of Computer Science and Information Eng), Yong Rui (Microsoft Research)
•PRISM: Concept-preserving Social Image Search Results Summarization
Boon-Siew Seah (Nanyang Technological University), Sourav S. Bhowmick (Nanyang Technological University), Aixin Sun (Nanyang Technological University)

Thursday-8b
Time and Tide (Room 6, 3:25-5:05)


•Time-Critical Search
Nina Mishra (Microsoft Research), Ryen W. White (Microsoft Research), Samuel Ieong (Microsoft Research), Eric Horvitz (Microsoft Research)
•Learning Temporal-Dependent Ranking Models
Miguel Costa (Large-Scale Informatics Systems Laboratory ), M·rio Silva, Francisco Couto
•Web Page Segmentation with Structured Prediction and its Application in Web Page Classification
Lidong Bing (The Chinese University of Hong Kong), Rui Guo (Baidu Inc.), Wai Lam (The Chinese University of Hong Kong), Zhengyu Niu (Baidu Inc.), Wang Haifeng
•Query Log Driven Web Search Results Clustering
Jose Moreno (University of Caen), GaÎl Dias (Normandie University), Guillaume Cleuziou (University of Orléans)

Thursday-8c0
Summaries and Semantics (Room 7, 3:25-4:15)


•CTSUM: Extracting More Certain Summaries for News Articles
Xiaojun Wan (Peking University), Jianmin Zhang (Peking University & Beijing Normal University)
•Continuous Word Embeddings for Detecting Local Text Reuses at the Semantic Level
Qi Zhang (Fudan University), Jihua Kang (Fudan University), Jin Qian (Fudan University), Xuanjing Huang (Fudan University)

Thursday-8c1
[Citation] Recommendation (Room 7, 4:15-5:05)


•CiteSight: Supporting Contextual Citation Recommendation Using Differential Search
Avishay Livne (University of Michigan), Vivek Gokuladas (University of Michigan), Jaime Teevan (Microsoft Research), Susan T Dumais (Microsoft Research Redmond), Eytan Adar (University of Michigan)
•Cross-language Context-Aware Citation Recommendation in Scientific Articles
Xuewei Tang (Peking University), Xiaojun Wan (Peking University), Xun Zhang (Peking University)
Lable：
Read more »
Lable：
loading..

Popular Posts