James Caverlee


2005

doi dblp
Exploiting the deep web with DynaBot: matching, probing, and ranking
Daniel Rocco | James Caverlee | Ling Liu | Terence Critchlow
Proceedings of the 14th international conference on World Wide Web, WWW 2005, Chiba, Japan, May 10-14, 2005 - Special interest tracks and posters

2006

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Distributed query sampling: a quality-conscious approach
James Caverlee | Ling Liu | Joonsoo Bae
SIGIR 2006: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Seattle, Washington, USA, August 6-11, 2006

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Discovering Interesting Relationships among Deep Web Databases: A Source-Biased Approach
James Caverlee | Ling Liu | Daniel Rocco
2006 Volume 9 Issue 4

2008

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Predicting web spam with HTTP session information
Steve Webb | James Caverlee | Calton Pu
Proceedings of the 17th ACM Conference on Information and Knowledge Management, CIKM 2008, Napa Valley, California, USA, October 26-30, 2008

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Towards robust trust establishment in web-based social networks with socialtrust
James Caverlee | Ling Liu | Steve Webb
Proceedings of the 17th International Conference on World Wide Web, WWW 2008, Beijing, China, April 21-25, 2008

doi dblp
Plurality: a context-aware personalized tagging system
Robert Graham | Brian Eoff | James Caverlee
Proceedings of the 17th International Conference on World Wide Web, WWW 2008, Beijing, China, April 21-25, 2008

2009

doi dblp
PageRank for ranking authors in co-citation networks
Ying Ding | Erjia Yan | Arthur R. Frazho | James Caverlee
2009 Volume 60 Issue 11

2010

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You are where you tweet: a content-based approach to geo-locating twitter users
Zhiyuan Cheng | James Caverlee | Kyumin Lee
Proceedings of the 19th ACM Conference on Information and Knowledge Management, CIKM 2010, Toronto, Ontario, Canada, October 26-30, 2010

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Identifying hotspots on the real-time web
Krishna Yeswanth Kamath | James Caverlee
Proceedings of the 19th ACM Conference on Information and Knowledge Management, CIKM 2010, Toronto, Ontario, Canada, October 26-30, 2010

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Uncovering social spammers: social honeypots + machine learning
Kyumin Lee | James Caverlee | Steve Webb
Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2010, Geneva, Switzerland, July 19-23, 2010

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The social honeypot project: protecting online communities from spammers
Kyumin Lee | James Caverlee | Steve Webb
Proceedings of the 19th International Conference on World Wide Web, WWW 2010, Raleigh, North Carolina, USA, April 26-30, 2010

2011

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Content-driven detection of campaigns in social media
Kyumin Lee | James Caverlee | Zhiyuan Cheng | Daniel Z. Sui
Proceedings of the 20th ACM Conference on Information and Knowledge Management, CIKM 2011, Glasgow, United Kingdom, October 24-28, 2011

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Toward traffic-driven location-based web search
Zhiyuan Cheng | James Caverlee | Krishna Yeswanth Kamath | Kyumin Lee
Proceedings of the 20th ACM Conference on Information and Knowledge Management, CIKM 2011, Glasgow, United Kingdom, October 24-28, 2011

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Discovering trending phrases on information streams
Krishna Yeswanth Kamath | James Caverlee
Proceedings of the 20th ACM Conference on Information and Knowledge Management, CIKM 2011, Glasgow, United Kingdom, October 24-28, 2011

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A geographic study of tie strength in social media
Jeffrey McGee | James Caverlee | Zhiyuan Cheng
Proceedings of the 20th ACM Conference on Information and Knowledge Management, CIKM 2011, Glasgow, United Kingdom, October 24-28, 2011

doi dblp
CrowdTracker: enabling community-based real-time web monitoring
James Caverlee | Zhiyuan Cheng | Brian Eoff | Chiao-Fang Hsu | Krishna Yeswanth Kamath | Jeffrey McGee
Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2011, Beijing, China, July 25-29, 2011

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Transient crowd discovery on the real-time social web
Krishna Yeswanth Kamath | James Caverlee
Proceedings of the Forth International Conference on Web Search and Web Data Mining, WSDM 2011, Hong Kong, China, February 9-12, 2011

2012

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Content-based crowd retrieval on the real-time web
Krishna Yeswanth Kamath | James Caverlee
21st ACM International Conference on Information and Knowledge Management, CIKM'12, Maui, HI, USA, October 29 - November 02, 2012

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Spatial influence vs. community influence: modeling the global spread of social media
Krishna Yeswanth Kamath | James Caverlee | Zhiyuan Cheng | Daniel Z. Sui
21st ACM International Conference on Information and Knowledge Management, CIKM'12, Maui, HI, USA, October 29 - November 02, 2012

doi dblp
DUBMMSM'12: international workshop on data-driven user behavioral modeling and mining from social media
Jalal Mahmud | James Caverlee | Jeffrey Nichols | John O'Donovan | Michelle X. Zhou
21st ACM International Conference on Information and Knowledge Management, CIKM'12, Maui, HI, USA, October 29 - November 02, 2012

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Proceedings of the 2012 workshop on Data-driven User Behavioral Modelling and Mining from Social Media, DUBMMSM 2012, October 29, 2012, Maui, Hawaii, USA

Proceedings of the 2012 workshop on Data-driven User Behavioral Modelling and Mining from Social Media, DUBMMSM 2012, October 29, 2012, Maui, Hawaii, USA

doi dblp
Detecting collective attention spam
Kyumin Lee | James Caverlee | Krishna Yeswanth Kamath | Zhiyuan Cheng
Proceedings of the 2nd Joint WICOW/AIRWeb Workshop on Web Quality, WebQuality '12, Lyon, France, April 16, 2012

2013

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Location prediction in social media based on tie strength
Jeffrey McGee | James Caverlee | Zhiyuan Cheng
22nd ACM International Conference on Information and Knowledge Management, CIKM'13, San Francisco, CA, USA, October 27 - November 1, 2013

doi dblp
Spatio-temporal meme prediction: learning what hashtags will be popular where
Krishna Yeswanth Kamath | James Caverlee
22nd ACM International Conference on Information and Knowledge Management, CIKM'13, San Francisco, CA, USA, October 27 - November 1, 2013

doi dblp
DUBMOD13: international workshop on data-driven user behavioral modelling and mining from social media
Jalal Mahmud | Jeffrey Nichols | Michelle X. Zhou | James Caverlee | John O'Donovan
22nd ACM International Conference on Information and Knowledge Management, CIKM'13, San Francisco, CA, USA, October 27 - November 1, 2013

doi dblp
Spatio-temporal dynamics of online memes: a study of geo-tagged tweets
Krishna Yeswanth Kamath | James Caverlee | Kyumin Lee | Zhiyuan Cheng
22nd International World Wide Web Conference, WWW '13, Rio de Janeiro, Brazil, May 13-17, 2013

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Board coherence in Pinterest: non-visual aspects of a visual site
Krishna Yeswanth Kamath | Ana-Maria Popescu | James Caverlee
22nd International World Wide Web Conference, WWW '13, Rio de Janeiro, Brazil, May 13-17, 2013, Companion Volume

doi dblp
Text vs. images: on the viability of social media to assess earthquake damage
Yuan Liang | James Caverlee | John Mander
22nd International World Wide Web Conference, WWW '13, Rio de Janeiro, Brazil, May 13-17, 2013, Companion Volume

dblp
Proceedings of the 2013 Workshop on Data-Driven User Behavioral Modelling and Mining from Social Media, DUBMOD@CIKM 2013 San Francisco, CA, USA, October 28, 2013

Proceedings of the 2013 Workshop on Data-Driven User Behavioral Modelling and Mining from Social Media, DUBMOD@CIKM 2013 San Francisco, CA, USA, October 28, 2013

doi dblp
A content-driven framework for geolocating microblog users
Zhiyuan Cheng | James Caverlee | Kyumin Lee
2013 Volume 4 Issue 1

doi dblp
Campaign extraction from social media
Kyumin Lee | James Caverlee | Zhiyuan Cheng | Daniel Z. Sui
2013 Volume 5 Issue 1

2014

doi dblp
DUBMOD14 - International Workshop on Data-driven User Behavioral Modeling and Mining from Social Media
Jalal Mahmud | Jeffrey Nichols | Michelle X. Zhou | James Caverlee | Yi Zeng | Liang Chen | John O'Donovan
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, CIKM 2014, Shanghai, China, November 3-7, 2014

doi dblp
Who is the barbecue king of texas?: a geo-spatial approach to finding local experts on twitter
Zhiyuan Cheng | James Caverlee | Himanshu Barthwal | Vandana Bachani
The 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR '14, Gold Coast , QLD, Australia - July 06 - 11, 2014

doi dblp
Social spam, campaigns, misinformation and crowdturfing
Kyumin Lee | James Caverlee | Calton Pu
23rd International World Wide Web Conference, WWW '14, Seoul, Republic of Korea, April 7-11, 2014, Companion Volume

doi dblp
Finding local experts on twitter
Zhiyuan Cheng | James Caverlee | Himanshu Barthwal | Vandana Bachani
23rd International World Wide Web Conference, WWW '14, Seoul, Republic of Korea, April 7-11, 2014, Companion Volume

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Proceedings of the 3rd Workshop on Data-Driven User Behavioral Modeling and Mining from Social Media, DUBMOD@CIKM 2014, Shanghai, China, November 3, 2014

Proceedings of the 3rd Workshop on Data-Driven User Behavioral Modeling and Mining from Social Media, DUBMOD@CIKM 2014, Shanghai, China, November 3, 2014

doi dblp
Report on the WebQuality 2014 Workshop
Adam Jatowt | Carlos Castillo | James Caverlee | Katsumi Tanaka
2014 Volume 48 Issue 2

2015

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A Noise-Filtering Approach for Spatio-temporal Event Detection in Social Media
Yuan Liang | James Caverlee | Cheng Cao
Advances in Information Retrieval - 37th European Conference on IR Research, ECIR 2015, Vienna, Austria, March 29 - April 2, 2015. Proceedings

doi dblp
Detecting Spam URLs in Social Media via Behavioral Analysis
Cheng Cao | James Caverlee
Advances in Information Retrieval - 37th European Conference on IR Research, ECIR 2015, Vienna, Austria, March 29 - April 2, 2015. Proceedings

doi dblp
BiasWatch: A Lightweight System for Discovering and Tracking Topic-Sensitive Opinion Bias in Social Media
Haokai Lu | James Caverlee | Wei Niu
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, CIKM 2015, Melbourne, VIC, Australia, October 19 - 23, 2015

doi dblp
Organic or Organized?: Exploring URL Sharing Behavior
Cheng Cao | James Caverlee | Kyumin Lee | Hancheng Ge | Jin-Wook Chung
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, CIKM 2015, Melbourne, VIC, Australia, October 19 - 23, 2015

doi dblp
Uncovering Crowdsourced Manipulation of Online Reviews
Amir Fayazi | Kyumin Lee | James Caverlee | Anna Cinzia Squicciarini
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, Santiago, Chile, August 9-13, 2015

doi dblp
SIGIR 2015 Workshop on Temporal, Social and Spatially-aware Information Access (#TAIA2015)
Klaus Berberich | James Caverlee | Miles Efron | Claudia Hauff | Vanessa Murdock | Milad Shokouhi | Bart Thomee
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, Santiago, Chile, August 9-13, 2015

2016

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LExL: A Learning Approach for Local Expert Discovery on Twitter
Wei Niu | Zhijiao Liu | James Caverlee
Advances in Information Retrieval - 38th European Conference on IR Research, ECIR 2016, Padua, Italy, March 20-23, 2016. Proceedings

doi dblp
CrowdSelect: Increasing Accuracy of Crowdsourcing Tasks through Behavior Prediction and User Selection
Chenxi Qiu | Anna Cinzia Squicciarini | Barbara Carminati | James Caverlee | Dev Rishi Khare
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016

doi dblp
Uncovering the Spatio-Temporal Dynamics of Memes in the Presence of Incomplete Information
Hancheng Ge | James Caverlee | Nan Zhang | Anna Cinzia Squicciarini
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016

2017

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What Are You Known For?: Learning User Topical Profiles with Implicit and Explicit Footprints
Cheng Cao | Hancheng Ge | Haokai Lu | Xia Hu | James Caverlee
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Shinjuku, Tokyo, Japan, August 7-11, 2017

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Crowdsourced App Review Manipulation
Shanshan Li | James Caverlee | Wei Niu | Parisa Kaghazgaran
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Shinjuku, Tokyo, Japan, August 7-11, 2017

2018

doi dblp
Fairness-Aware Tensor-Based Recommendation
Ziwei Zhu | Xia Hu | James Caverlee
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018

doi dblp
Behavior-based Community Detection: Application to Host Assessment In Enterprise Information Networks
Cheng Cao | Zhengzhang Chen | James Caverlee | Lu-An Tang | Chen Luo | Zhichun Li
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018

doi dblp
Learning Geo-Social User Topical Profiles with Bayesian Hierarchical User Factorization
Haokai Lu | Wei Niu | James Caverlee
The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, USA, July 08-12, 2018

doi dblp
Combating Crowdsourced Review Manipulators: A Neighborhood-Based Approach
Parisa Kaghazgaran | James Caverlee | Anna Cinzia Squicciarini
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, WSDM 2018, Marina Del Rey, CA, USA, February 5-9, 2018

doi dblp
Neural Personalized Ranking for Image Recommendation
Wei Niu | James Caverlee | Haokai Lu
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, WSDM 2018, Marina Del Rey, CA, USA, February 5-9, 2018

2019

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Wide-Ranging Review Manipulation Attacks: Model, Empirical Study, and Countermeasures
Parisa Kaghazgaran | Majid Alfifi | James Caverlee
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019

doi dblp
A Hierarchical Self-Attentive Model for Recommending User-Generated Item Lists
Yun He | Jianling Wang | Wei Niu | James Caverlee
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019

doi dblp
Instagrammers, Fashionistas, and Me: Recurrent Fashion Recommendation with Implicit Visual Influence
Yin Zhang | James Caverlee
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019

doi dblp
Recurrent Recommendation with Local Coherence
Jianling Wang | James Caverlee
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, VIC, Australia, February 11-15, 2019

doi dblp
Improving Top-K Recommendation via JointCollaborative Autoencoders
Ziwei Zhu | Jianling Wang | James Caverlee
The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019

2020

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Recommending Music Curators: A Neural Style-Aware Approach
Jianling Wang | James Caverlee
Advances in Information Retrieval - 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14-17, 2020, Proceedings, Part I

doi dblp
Measuring and Mitigating Item Under-Recommendation Bias in Personalized Ranking Systems
Ziwei Zhu | Jianling Wang | James Caverlee
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020

doi dblp
ADORE: Aspect Dependent Online REview Labeling for Review Generation
Parisa Kaghazgaran | Jianling Wang | Ruihong Huang | James Caverlee
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020

doi dblp
Next-item Recommendation with Sequential Hypergraphs
Jianling Wang | Kaize Ding | Liangjie Hong | Huan Liu | James Caverlee
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020

doi dblp
Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation
Ziwei Zhu | Shahin Sefati | Parsa Saadatpanah | James Caverlee
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020

doi dblp
WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020

WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020

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Consistency-Aware Recommendation for User-Generated Item List Continuation
Yun He | Yin Zhang | Weiwen Liu | James Caverlee
WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020

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User Recommendation in Content Curation Platforms
Jianling Wang | Ziwei Zhu | James Caverlee
WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020

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Key Opinion Leaders in Recommendation Systems: Opinion Elicitation and Diffusion
Jianling Wang | Kaize Ding | Ziwei Zhu | Yin Zhang | James Caverlee
WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020

doi dblp
Time to Shop for Valentine's Day: Shopping Occasions and Sequential Recommendation in E-commerce
Jianling Wang | Raphael Louca | Diane Hu | Caitlin Cellier | James Caverlee | Liangjie Hong
WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020

doi dblp
Improving the Estimation of Tail Ratings in Recommender System with Multi-Latent Representations
Xing Zhao | Ziwei Zhu | Yin Zhang | James Caverlee
WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020

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Addressing the Target Customer Distortion Problem in Recommender Systems
Xing Zhao | Ziwei Zhu | Majid Alfifi | James Caverlee
WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020

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Adaptive Hierarchical Translation-based Sequential Recommendation
Yin Zhang | Yun He | Jianling Wang | James Caverlee
WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020

2021

doi dblp
Fairness among New Items in Cold Start Recommender Systems
Ziwei Zhu | Jingu Kim | Trung Nguyen | Aish Fenton | James Caverlee
SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021

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Sequential Recommendation for Cold-start Users with Meta Transitional Learning
Jianling Wang | Kaize Ding | James Caverlee
SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021

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Popularity-Opportunity Bias in Collaborative Filtering
Ziwei Zhu | Yun He | Xing Zhao | Yin Zhang | Jianling Wang | James Caverlee
WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021

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Towards Ongoing Detection of Linguistic Bias on Wikipedia
Karthic Madanagopal | James Caverlee
Companion of The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021

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Rabbit Holes and Taste Distortion: Distribution-Aware Recommendation with Evolving Interests
Xing Zhao | Ziwei Zhu | James Caverlee
WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021

2022

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Fighting Mainstream Bias in Recommender Systems via Local Fine Tuning
Ziwei Zhu | James Caverlee
WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022

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MetaBalance: Improving Multi-Task Recommendations via Adapting Gradient Magnitudes of Auxiliary Tasks
Yun He | Xue Feng | Cheng Cheng | Geng Ji | Yunsong Guo | James Caverlee
WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022