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The 5th International Workshop on Social Web for Disaster Management(SWDM'18)

Yu-Ru Lin, Carlos Castillo, Jie Yin
2018 Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining - WSDM '18  
This international workshop, the fifth in the series, is a key venue for researchers and practitioners to discuss research challenges and technical issues around the usage of social media in disaster management  ...  During large-scale emergencies such as natural and man-made disasters, a massive amount of information is posted by the public in social media.  ...  In WSDM 2018: The Eleventh ACM International Conference on Web Search and Data Mining , February 5-9, 2018, Marina Del Rey, CA, USA.  ... 
doi:10.1145/3159652.3160594 dblp:conf/wsdm/Lin0Y18 fatcat:ro6c6ukjanhhrbs5gslmzmnisi

IFUP

Feida Zhu, Yongfeng Zhang, Neil Yorke-Smith, Guibing Guo, Xu Chen
2018 Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining - WSDM '18  
With the advent of web 2.0, quite a lot of multimodal information has been accumulated, which provides us with the opportunity to profile users in a more comprehensive manner.  ...  We hope more advanced technologies can be proposed or inspired, and also we hope that the direction of integrating different types of information can catch much more attention in both academic and industry  ...  WSDM 2018, February 5-9, 2018, Marina Del Rey, CA, USA © 2018 Copyright held by the owner/author(s).  ... 
doi:10.1145/3159652.3160592 dblp:conf/wsdm/ZhuZYGC18 fatcat:a4q4sgddybedthzhrkq7d3m7nu

Conversational Semantic Search

Paul A. Crook, Alex Marin, Vipul Agarwal, Samantha Anderson, Ohyoung Jang, Aliasgar Lanewala, Karthik Tangirala, Imed Zitouni
2018 Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining - WSDM '18  
User expectations of web search are changing. They are expecting search engines to answer questions, to be more conversational, and to offer means to complete tasks on their behalf.  ...  It thus seems likely that the underlying systems that power web search and PDAs will converge.  ...  WSDM 2018 , 2018 February 5-9, 2018, Marina Del Rey, CA, USA © 2018 Association for Computing Machinery.  ... 
doi:10.1145/3159652.3160590 dblp:conf/wsdm/CrookMAAJLTZ18 fatcat:3ahhemfzqngtfm4lxkxkahrhle

Modeling Time to Open of Emails with a Latent State for User Engagement Level

Moumita Sinha, Vishwa Vinay, Harvineet Singh
2018 Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining - WSDM '18  
The mixture model achieves the best accuracy on our data where a high proportion of email messages go unopened.  ...  While the classification model provides predictions on the likelihood of an email being opened, the regression model provides prediction of the real-valued time to open.  ...  ACKNOWLEDGMENTS We thank Frederic Mary in Adobe Product Management for his insights, and anonymous reviewers for their constructive feedback.  ... 
doi:10.1145/3159652.3159683 dblp:conf/wsdm/SinhaVS18 fatcat:bi77y3mxh5e63im76nld3cmyma

Bayesian Optimization for Optimizing Retrieval Systems

Dan Li, Evangelos Kanoulas
2018 Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining - WSDM '18  
To demonstrate the efficiency and effectiveness of Bayesian Optimization we conduct experiments on TREC collections, and show that Bayesian Optimization outperforms manual tuning, grid search and random  ...  search, both in terms of retrieval effectiveness of the configuration found, and in terms of efficiency in finding this configuration.  ...  WSDM 2018 , 2018 February 5-9, 2018, Marina Del Rey, CA, USA © 2018 Copyright held by the owner/author(s). Publication rights licensed to Association for Computing Machinery.  ... 
doi:10.1145/3159652.3159665 dblp:conf/wsdm/LiK18 fatcat:q3bsdk4fdnba7izcm6tijv4tnu

VISIR

Sreyasi Nag Chowdhury, Niket Tandon, Hakan Ferhatosmanoglu, Gerhard Weikum
2018 Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining - WSDM '18  
Experiments show that our method, called VISIR, improves the quality of the state-of-the-art visual labeling tools like LSDA and YOLO.  ...  The social media explosion has populated the Internet with a wealth of images.  ...  ACKNOWLEDGEMENTS This work was partly supported by the Alexander von Humboldt Foundation.  ... 
doi:10.1145/3159652.3159693 dblp:conf/wsdm/ChowdhuryTFW18 fatcat:4frchlofofd63o4fdo3utn7zoa

Web Search of Fashion Items with Multimodal Querying

Katrien Laenen, Susana Zoghbi, Marie-Francine Moens
2018 Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining - WSDM '18  
In this paper, we introduce a novel multimodal fashion search paradigm where e-commerce data is searched with a multimodal query composed of both an image and text.  ...  Multimodal search requires intermodal representations of visual and textual fashion attributes which can be mixed and matched to form the user's desired product, and which have a mechanism to indicate  ...  WSDM 2018 , 2018 February 5-9, 2018, Marina Del Rey, CA, USA © 2018 Association for Computing Machinery.  ... 
doi:10.1145/3159652.3159716 dblp:conf/wsdm/LaenenZM18 fatcat:fuioqiwbonhn5a35vbukplznnm

User Intent, Behaviour, and Perceived Satisfaction in Product Search

Ning Su, Jiyin He, Yiqun Liu, Min Zhang, Shaoping Ma
2018 Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining - WSDM '18  
However, from a user perspective, there still lacks an in-depth understanding of why users search, how they interact with, and perceive the product search results.  ...  In this paper, we address the following three questions: (1) what are the intents of users underlying their search activities? (2) do users behave di erently under di erent search intents?  ...  We provide annotators with the de nitions of Technical Presentation WSDM'18, February 5-9, 2018, Marina Del Rey, CA, USA each user intent and asked them to select the category based on coding criteria  ... 
doi:10.1145/3159652.3159714 dblp:conf/wsdm/SuHLZM18 fatcat:iuxesdxffnhmflyw3oh74svcni

OpenRec

Longqi Yang, Eugene Bagdasaryan, Joshua Gruenstein, Cheng-Kang Hsieh, Deborah Estrin
2018 Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining - WSDM '18  
We present the architecture of OpenRec and demonstrate that OpenRec provides adaptability, modularity and reusability while maintaining training e ciency and recommendation accuracy.  ...  With the increasing demand for deeper understanding of users' preferences, recommender systems have gone beyond simple user-item ltering and are increasingly sophisticated, comprised of multiple components  ...  at Cornel Tech. e work is further supported by the small data lab at Cornell Tech, which receives funding from NSF (#1700832), NIH, RWJF, UnitedHealth Group, Google, and Adobe.  ... 
doi:10.1145/3159652.3159681 dblp:conf/wsdm/YangBGHE18 fatcat:ev43dr4bp5emnopg4gnrxjszua