Preliminary Program

  Tue 29 Nov Wed 30 Nov Thu 1 Dec Fri 2 Dec
8.00 - 9.00 Registration Open Registration Open Registration Open
9.00 - 9.15 Welcome to AIRS 2016
9.15 - 10.15 Keynote 1 (Kam-Fai WONG): NLP for Microblog Summarization Keynote 2 (Hang LI): Will Question Answering Become the Main Theme of IR Research? Keynote 3 (Emine Yilmaz): New Ways of Thinking about Search with New Devices
10.15 - 10.45 Coffee Break Coffee Break Coffee Break
10.45 - 12.00 Session 1: IR Models and Theories (I) Session 4: IR Models and Theories (II) Session 6: Personalization and Recommendation (II)
12.00 - 14.00 Lunch Break Lunch Break Lunch Break
14.00 - 15.15 Registration Open Session 2: Machine Learning and Data Mining for IR Session 5: Personalization and Recommendation (I) Session 7: IR evaluation
15.15 - 15.45 Coffee Break Coffee Break Closing
15.45 - 17.00 Session 3: IR applications and User modeling Poster & Demo Session
18.30 - 20.30 Welcome Reception (18:00 to 20:00)   Conference Banquet

Conference Venue

Accepted Papers and Posters

No. Title Authors

IR Models and Theories (I)

1 Modeling  Relevance as a Function of Retrieval Rank Xiaolu  Lu, Alistair Moffat and Shane Culpepper
2 The  Effect of Score Standardisation on Topic Set Size Design Tetsuya  Sakai
3 Incorporating  Semantic Knowledge into Latent Matching Model in Search Shuxin  Wang, Xin Jiang, Hang Li, Jun Xu, and Bin Wang

IR Models and Theories (II)

4 Keyqueries  for Clustering and Labeling Tim  Gollub, Matthias Busse, Benno Stein and Matthias Hagen
5 A  Comparative Study of Answer-contained Snippets and Traditional Snippets Xian-Ling  Mao, Dan Wang, Yi-Jing Hao, Wenqing Yuan and Heyan Huang
6 Local  Community Detection via Edge Weighting Weiji  Zhao, Fengbin Zhang and Jinglian Liu

Machine Learning and Data Mining for IR

7 Learning  a Semantic Space of Web Search via Session Data Lidong  Bing, Zhengyu Niu, Wai Lam and Haifeng Wang
8 TLINE:  Scalable Transductive Network Embedding Xia  Zhang, Weizheng Chen and Hongfei Yan
9 Detecting  Synonymous Predicates from Online Encyclopedia with Rich Features Zhe  Han, Yansong Feng and Dongyan Zhao

IR applications and User modeling

10 Patent  Retrieval Based on Multiple Information Resources Kan  Xu, Hongfei Lin, Yuan Lin, Bo Xu, Liang Yang and Shaowu Zhang
11 Simulating  Ideal and Average Users Matthias  Hagen, Maximilian Michel and Benno Stein
12 Constraining  Word Embeddings by Prior Knowledge – Application to Medical Information  Retrieval Xiaojie  Liu, Jian-Yun Nie and Alessandro Sordoni

Personalization and Recommendation (I)

13 Use  of Microblog Behavior Data in a Language Modeling Framework to Enhance Web  Search Personalization Arjumand  Younus
14 A  Joint Framework for Collaborative Filtering and Metric Learning Tak-Lam  Wong, Wai Lam, Haoran Xie and Fu Lee Wang
15 Scrutinizing  Mobile App Recommendation: Identifying Important App-related Indicators Jovian  Lin, Kazunari Sugiyama, Min-Yen Kan and Tat-Seng Chua

Personalization and Recommendation (II)

16 User  Model Enrichment for Venue Recommendation Mohammad  Aliannejadi, Ida Mele and Fabio Crestani
17 Learning  Distributed Representation for Recommender Systems with a Network Embedding  Approach Wayne  Xin Zhao, Jin Huang and Ji-Rong Wen
18 Factorizing  Sequential and Historical Purchase Data for Basket Recommendation Pengfei  Wang, Jiafeng Guo, Yanyan Lan, Jun Xu and Xueqi Cheng

IR evaluation

19 Search  Success Evaluation with Translation Model Cheng  Luo, Yiqun Liu, Min Zhang and Shaoping Ma
20 Evaluating  the Social Acceptability of Voice Based Smartwatch Search Christos  Efthymiou and Martin Halvey
21 How  Precise Does Document Scoring Need To Be? Ziying  Yang, Alistair Moffat and Andrew Turpin

Short Paper

1 Noise  Correction in Pairwise Document Preferences for Learning to Rank Harsh  Trivedi and Prasenjit Majumder
2 Table  Topic Models for Hidden Unit Estimation Minoru  Yoshida, Kazuyuki Matsumoto and Kenji Kita
3 Query  Subtopic Mining Exploiting Word Embedding for Search Result Diversification Md  Zia Ullah, Md Shajalal, Abu Nowshed Chy and Masaki Aono
4 Assessing  the Authors of Online Books in Digital Libraries using Users Affinity Baptiste  De La Robertie
5 Reformulate  or Quit: Predicting User Abandonment in Ideal Sessions Mustafa  Zengin and Ben Carterette
6 Learning  to Rank with Likelihood Loss Functions Yuan  Lin, Liang Yang, Bo Xu, Hongfei Lin and Kan Xu
7 Learning  to Improve Affinity Ranking for Diversity Search Yue  Wu, Jingfei Li, Peng Zhang and Dawei Song
8 An  In-depth Study of Implicit Search Result Diversification Hai-Tao  Yu, Adam Jatowt, Roi Blanco, Hideo Joho, Joemon Jose, Long Chen and Fajie  Yuan
9 Predicting  Information Diffusion in Social Networks with Users' Social Roles and Topic  Interests Xiaoxuan  Ren and Yan Zhang
10 When  MetaMap meets Social Media in Healthcare: Are the Word Labels Correct? Hongkui  Tu, Zongyang Ma, Aixin Sun and Xiaodong Wang
11 Evaluation  with Confusable Ground Truth Jiyi  Li and Masatoshi Yoshikawa