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DATA:SEARCH'18 -- Searching Data on the Web [article]

Paul Groth, Laura Koesten (The Open Data Institute + University of Southampton), Philipp Mayr (GESIS - Leibniz Institute for the Social Sciences), Maarten de Rijke, Elena Simperl
2018 arXiv   pre-print
This half day workshop explores challenges in data search, with a particular focus on data on the web.  ...  The workshop aims to bring together communities interested in making the web of data more discoverable, easier to search and more user friendly.  ...  ACKNOWLEDGMENTS All content represents the opinion of the authors, which is not necessarily shared or endorsed by their respective employers and/or sponsors.  ... 
arXiv:1805.11883v1 fatcat:rata5mf6svcvldxaytkftabwqq

Why People Search for Images using Web Search Engines

Xiaohui Xie, Yiqun Liu, Maarten de Rijke, Jiyin He, Min Zhang, Shaoping Ma
2018 Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining - WSDM '18  
In this paper, we address the following questions: (1) Why do people search for images in text-based Web image search systems? (2) How does image search behavior change with user intent?  ...  Knowing why people search for images is of major concern to Web image search engines because user satisfaction may vary as intent varies.  ...  Based on these data, we are able to answer RQ2 by investigating several frequently used implicit signals in general Web search.  ... 
doi:10.1145/3159652.3159686 dblp:conf/wsdm/XieLRHZM18 fatcat:tpbfq2tfqzdepp4houuerfocmy

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.  ...  We build a multimodal retrieval model which operates on the obtained intermodal representations and which ranks images based on their relevance to a multimodal query.  ...  CONCLUSION In this paper, we have proposed a novel search paradigm to search fashion e-commerce data called multimodal search.  ... 
doi:10.1145/3159652.3159716 dblp:conf/wsdm/LaenenZM18 fatcat:fuioqiwbonhn5a35vbukplznnm

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.  ...  The scope and focus of this workshop is well aligned with the theme of WSDM -which also emphasizes on "the practical and principled novel models of search and data mining on the Web and the Social Web.  ... 
doi:10.1145/3159652.3160594 dblp:conf/wsdm/Lin0Y18 fatcat:ro6c6ukjanhhrbs5gslmzmnisi

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.  ...  At the same time, web search engines are also evolving. Gone are the days where Google and Bing would show only blue links that users have to click on.  ... 
doi:10.1145/3159652.3160590 dblp:conf/wsdm/CrookMAAJLTZ18 fatcat:3ahhemfzqngtfm4lxkxkahrhle

Predicting Antimicrobial Drug Consumption using Web Search Data

Niels Dalum Hansen, Kåre Mølbak, Ingemar J. Cox, Christina Lioma
2018 Proceedings of the 2018 International Conference on Digital Health - DH '18  
We find that predictions based on web search data are marginally more erroneous but overall on a par with predictions based on purchases of antimicrobial drugs.  ...  Usage of web mined data therefore has the potential to improve current surveillance methods.  ...  This is a similar model to the one used in [18] .  ... 
doi:10.1145/3194658.3194667 dblp:conf/ehealth/HansenMCL18 fatcat:zn4w6563qfc2xe4ifkqf5p65rm

Search, Filter, Fork, and Link Open Data

Sebastian Neumaier, Lörinc Thurnay, Thomas J. Lampoltshammer, Tomá Knap
2018 Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18  
In the paper, we first describe the requirements of the platform, which are based on focus group interviews and a web-based survey.  ...  The information acquired by the linking and (meta)data improvement steps is then integrated in a semantic search engine.  ...  and Searching Data on the Web WWW 2018, April 23-27, 2018, Lyon, France  ... 
doi:10.1145/3184558.3191602 dblp:conf/www/NeumaierTLK18 fatcat:t376wvga4vfhholeylupagbeoa

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.  ...  Recommendation system has became an important component in many real applications, ranging from e-commerce, music app to video-sharing site and on-line book store.  ...  This recommender system related workshop is also very much a good fit for the WSDM community, for its broad interest to researchers both from the IR community and the web mining community.  ... 
doi:10.1145/3159652.3160592 dblp:conf/wsdm/ZhuZYGC18 fatcat:a4q4sgddybedthzhrkq7d3m7nu

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

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  
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?  ...  Based on an online survey and search logs collected from a major commercial product search engine, we show that user intents in product search fall into three categories: Target Finding (TF), Decision  ...  Three Web search professionals reviewed the survey data and coded each response.  ... 
doi:10.1145/3159652.3159714 dblp:conf/wsdm/SuHLZM18 fatcat:iuxesdxffnhmflyw3oh74svcni

Percolator

Sutanay Choudhury, Sumit Purohit, Peng Lin, Yinghui Wu, Lawrence Holder, Khushbu Agarwal
2018 Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining - WSDM '18  
We demonstrate a) the feasibility of incremental pattern mining by walking through each component of Percolator, b) the efficiency and scalability of Percolator over the sheer size of real-world dynamic  ...  graphs, and c) how the user-friendly GUI of Percolator interacts with users to support keyword-based queries that detect, browse and inspect trending patterns.  ...  Another method is to develop parallel mining [7] to cope with the sheer amount of data.  ... 
doi:10.1145/3159652.3160589 dblp:conf/wsdm/ChoudhuryPLWHA18 fatcat:stvjt4szangorntq2pgexcgz64

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  
Grid and random search, the dominant methods to search for the optimal system configuration, lack a search strategy that can guide them in the hyperparameter space.  ...  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  ...  We first run the four methods on Robust 2004 or Web 2012 as the training set, then we tested the corresponding optimal configurations on TREC 5-8 or Web 2011-2012.  ... 
doi:10.1145/3159652.3159665 dblp:conf/wsdm/LiK18 fatcat:q3bsdk4fdnba7izcm6tijv4tnu

Position Bias Estimation for Unbiased Learning to Rank in Personal Search

Xuanhui Wang, Nadav Golbandi, Michael Bendersky, Donald Metzler, Marc Najork
2018 Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining - WSDM '18  
., RandTopN and RandPair) and show their negative effect in personal search. Then we study how to infer such bias from regular click data without relying on randomization.  ...  In contrast, the most recent work on unbiased learning-to-rank can effectively leverage the bias and thus focuses on estimating bias rather than relevance [20, 31] .  ...  ACKNOWLEDGMENTS We thank Olivier Chapelle for his discussions on tradeoff among different position bias estimation methods and Roberto Bayardo for his suggestions on improving the paper presentation.  ... 
doi:10.1145/3159652.3159732 dblp:conf/wsdm/WangGBMN18 fatcat:shszbvbxpbeydit6ik5f5isn7q

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  
image retrieval (TBIR), which has relied on user tagging (e.g., Flickr tags).  ...  There are two existing paradigms for image retrieval: 1) content-based image retrieval (CBIR), which has traditionally used visual features for similarity search (e.g., SIFT features), and 2) tag-based  ...  ACKNOWLEDGEMENTS This work was partly supported by the Alexander von Humboldt Foundation.  ... 
doi:10.1145/3159652.3159693 dblp:conf/wsdm/ChowdhuryTFW18 fatcat:4frchlofofd63o4fdo3utn7zoa

Predicting Audio Advertisement Quality

Samaneh Ebrahimi, Hossein Vahabi, Matthew Prockup, Oriol Nieto
2018 Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining - WSDM '18  
We later focus on predicting the audio ad quality using only acoustic features such as harmony, rhythm, and timbre of the audio, extracted from the raw waveform.  ...  In this paper we propose one way to measure the quality of the audio ads using a proxy metric called Long Click Rate (LCR), which is defined by the amount of time a user engages with the follow-up display  ...  Most of the previous predictive models on ad quality are based on viewable features: display, native, and sponsored search ads [9] .  ... 
doi:10.1145/3159652.3159701 dblp:conf/wsdm/EbrahimiVPN18 fatcat:fc5rvaf5rnblfeaezqhu3anhfm
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