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Jeff Huang, Thomas Lin, Ryen W. White
2012 Proceedings of the fifth ACM international conference on Web search and data mining - WSDM '12  
Two-fifths of all users spawned new tabs on search results in the timeframe of our study; branching usage varied with different query types and vertical.  ...  We detect branching behavior on a large commercial search engine with a client-side script on the results page.  ...  The authors thank Susan Dumais and Yu Chen for insightful discussions about the work, and Katherine Ye for editing earlier drafts of the paper.  ... 
doi:10.1145/2124295.2124322 dblp:conf/wsdm/HuangLW12 fatcat:ibyzu2hmm5btnnyccbdi5aa6nm

Answers, not links

Ingmar Weber, Antti Ukkonen, Aris Gionis
2012 Proceedings of the fifth ACM international conference on Web search and data mining - WSDM '12  
We investigate the problem of mining "tips" from Yahoo! Answers and displaying those tips in response to related web queries.  ...  First, we estimate the volume of web queries with "how-to" intent, which could be potentially addressed by a tip.  ...  Third, we would like to identify other query types which could be addressed by WSDM'12, February 8-12, 2012, Seattle, Washington, USA.  ... 
doi:10.1145/2124295.2124369 dblp:conf/wsdm/WeberUG12 fatcat:wpkufdj325cx3ia6fovwzjaavu

WebSets

Bhavana Bharat Dalvi, William W. Cohen, Jamie Callan
2012 Proceedings of the fifth ACM international conference on Web search and data mining - WSDM '12  
The method can be efficiently applied to a large corpus, and experimental results on several datasets show that our method can accurately extract large numbers of concept-instance pairs.  ...  Most earlier approaches to this problem rely on combining clusters of distributionally similar terms and conceptinstance pairs obtained with Hearst patterns.  ...  The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of Google  ... 
doi:10.1145/2124295.2124327 dblp:conf/wsdm/DalviCC12 fatcat:ozcdmq4t75ax5afmdkg35qqtbm

Selecting actions for resource-bounded information extraction using reinforcement learning

Pallika H. Kanani, Andrew K. McCallum
2012 Proceedings of the fifth ACM international conference on Web search and data mining - WSDM '12  
Given a database with missing or uncertain content, our goal is to correct and fill the database by extracting specific information from a large corpus such as the Web, and to do so under resource limitations  ...  Our evaluations show that we can obtain 92.4% of the final F1, by only using 14.3% of all possible actions.  ...  This research draws on data provided by the University Research Program for Google Search, a service provided by Google to promote a greater common understanding of the web.  ... 
doi:10.1145/2124295.2124328 dblp:conf/wsdm/KananiM12 fatcat:onhv7ggmknba3m35simnb4s2mi

Probabilistic models for personalizing web search

David Sontag, Kevyn Collins-Thompson, Paul N. Bennett, Ryen W. White, Susan Dumais, Bodo Billerbeck
2012 Proceedings of the fifth ACM international conference on Web search and data mining - WSDM '12  
We evaluate our personalization approach using historical search data from thousands of users of a major Web search engine.  ...  Our algorithm for computing the personalized ranking is simple and has little computational overhead.  ...  Acknowledgements Thanks to Dan Liebling and Josh Feng for assistance with data collection and classification.  ... 
doi:10.1145/2124295.2124348 dblp:conf/wsdm/SontagCBWDB12 fatcat:lufhjzg7ajgazpi4hmev4dpfkm

Effective query formulation with multiple information sources

Michael Bendersky, Donald Metzler, W. Bruce Croft
2012 Proceedings of the fifth ACM international conference on Web search and data mining - WSDM '12  
The proposed query formulations are especially advantageous for large scale web corpora, where they also reduce the number of terms required for effective query expansion, and improve the diversity of  ...  We conduct an empirical evaluation of our framework for both newswire and web corpora.  ...  To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. WSDM '12, February 8-12, 2012 of different features 1 .  ... 
doi:10.1145/2124295.2124349 dblp:conf/wsdm/BenderskyMC12 fatcat:agebejs7o5f2pghyyify3pr4le

Online selection of diverse results

Debmalya Panigrahi, Atish Das Sarma, Gagan Aggarwal, Andrew Tomkins
2012 Proceedings of the fifth ACM international conference on Web search and data mining - WSDM '12  
The key algorithmic question in all these applications is the generation of a succinct, representative, and relevant summary from a large stream of data coming from a variety of sources.  ...  The phenomenal growth in the volume of easily accessible information via various web-based services has made it essential for service providers to provide users with personalized representative summaries  ...  Mirrokni for useful discussions in the early stages of this work. We are also grateful to the anonymous reviewers, whose comments helped to improve the presentation of this paper.  ... 
doi:10.1145/2124295.2124329 dblp:conf/wsdm/PanigrahiSAT12 fatcat:m5hlg4fkr5fvnegskjy47c6nw4

"I loan because..."

Yang Liu, Roy Chen, Yan Chen, Qiaozhu Mei, Suzy Salib
2012 Proceedings of the fifth ACM international conference on Web search and data mining - WSDM '12  
We employ text classifiers using lexical features, along with social features based on lender activity information on Kiva, to predict the categories of lender motivation statements.  ...  Using the results of this classification along with Kiva teams information, we predict lending activity from lender motivation and team affiliations.  ...  To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. WSDM '12, February 8-12, 2012 , Seattle, Washington, USA.  ... 
doi:10.1145/2124295.2124356 dblp:conf/wsdm/LiuCCMS12 fatcat:jeb2i4npbvepxkn5ql2ml247ei

Harmony and dissonance

Rawia Awadallah, Maya Ramanath, Gerhard Weikum
2012 Proceedings of the fifth ACM international conference on Web search and data mining - WSDM '12  
We present a system, named OpinioNetIt, which aims to automatically derive a map of the opinions-people network from news and other Web documents. We build this network in four stages.  ...  To understand the landscape of opinions on political controversies, it would be helpful to know which politician or other stakeholder takes which position -support or opposition -on specific aspects of  ...  To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. WSDM '12, February 8-12, 2012 , Seattle, Washingtion, USA.  ... 
doi:10.1145/2124295.2124359 dblp:conf/wsdm/AwadallahRW12 fatcat:q3sln4f2gzgrlaqijvzitvwv6i

Beyond co-occurrence

Haipeng Zhang, Mohammed Korayem, Erkang You, David J. Crandall
2012 Proceedings of the fifth ACM international conference on Web search and data mining - WSDM '12  
Using a dataset of tens of millions of geo-tagged Flickr photos, we show that we can cluster Flickr photo tags based on their geographic and temporal patterns, and we evaluate the results both qualitatively  ...  Studying relationships between keyword tags on social sharing websites has become a popular topic of research, both to improve tag suggestion systems and to discover connections between the concepts that  ...  This work was supported in part by a grant from the Lilly Endowment Inc. and by the Data to Insight Center at Indiana University.  ... 
doi:10.1145/2124295.2124302 dblp:conf/wsdm/ZhangKYC12 fatcat:ndwts2vjtfhfro3ojbdpvh7cxm

On clustering heterogeneous social media objects with outlier links

Guo-Jun Qi, Charu C. Aggarwal, Thomas S. Huang
2012 Proceedings of the fifth ACM international conference on Web search and data mining - WSDM '12  
We conduct experiments on a real social media network and show the advantage of the method over other state-of-the-art algorithms.  ...  We design a probability measure on the social media networks which output a configuration of clusters that are consistent with both content and link structure.  ...  The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Army Research Laboratory  ... 
doi:10.1145/2124295.2124363 dblp:conf/wsdm/QiAH12 fatcat:dggiwnsgwvfvdjw7ixnaohd73u

Spike-Timing-Dependent Plasticity [chapter]

2017 Encyclopedia of Machine Learning and Data Mining  
In: Proceedings of the conference on web search and web data mining (WSDM-2008), Palo Alto Hatzivassiloglou V, McKeown K (1997) Predicting the semantic orientation of adjectives.  ...  In: Proceedings of the conference on web search and web data mining (WSDM-2011), Hong Kong Kamps J, Marx M, Mokken RJ, De Rijke M (2004) Using WordNet to measure semantic orientation of adjectives.  ...  case statements, we simply perform the corresponding operation on the intersection of all case partitions of the operands.  ... 
doi:10.1007/978-1-4899-7687-1_774 fatcat:2jprihjaxfbtpb3ttwuuz3u34y

Sentiment Analysis [chapter]

2017 Encyclopedia of Machine Learning and Data Mining  
In: Proceedings of the conference on web search and web data mining (WSDM-2008), Palo Alto Hatzivassiloglou V, McKeown K (1997) Predicting the semantic orientation of adjectives.  ...  In: Proceedings of the conference on web search and web data mining (WSDM-2011), Hong Kong Kamps J, Marx M, Mokken RJ, De Rijke M (2004) Using WordNet to measure semantic orientation of adjectives.  ...  case statements, we simply perform the corresponding operation on the intersection of all case partitions of the operands.  ... 
doi:10.1007/978-1-4899-7687-1_100512 fatcat:ce4yyqo2czftzcx2kbauglh3fu

Post-click conversion modeling and analysis for non-guaranteed delivery display advertising

Rómer Rosales, Haibin Cheng, Eren Manavoglu
2012 Proceedings of the fifth ACM international conference on Web search and data mining - WSDM '12  
In on-line search and display advertising, the click-trough rate (CTR) has been traditionally a key measure of ad/ campaign effectiveness.  ...  We provide various fundamental properties of this process based on contextual information, formalize the problem of predicting PCC, and propose an approach for measuring attribute relevance when the underlying  ...  Acknowledgments We thank our colleagues for their assistance with data collection, model evaluation, and discussions on the RMI idea.  ... 
doi:10.1145/2124295.2124333 dblp:conf/wsdm/RosalesCM12 fatcat:ontp3q6jtfczvag3vjdbtckm5m

Multi-relational matrix factorization using bayesian personalized ranking for social network data

Artus Krohn-Grimberghe, Lucas Drumond, Christoph Freudenthaler, Lars Schmidt-Thieme
2012 Proceedings of the fifth ACM international conference on Web search and data mining - WSDM '12  
A key element of the social networks on the internet such as Facebook and Flickr is that they encourage users to create connections between themselves, other users and objects.  ...  We propose a formalization of the problem and a principled approach to it based on multi-relational factorization techniques.  ...  WSDM'12, February 8-12, 2012, Seattle, Washingtion, USA. Copyright 2012 ACM 978-1-4503-0747-5/12/02 ...$10.00.  ... 
doi:10.1145/2124295.2124317 dblp:conf/wsdm/Krohn-GrimbergheDFS12 fatcat:iiinyrotzbbdpd44hdluwgubae
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