James Caverlee

Orcid: 0000-0001-8350-8528

Affiliations:
  • Texas A&M University


According to our database1, James Caverlee authored at least 216 papers between 2004 and 2024.

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Bibliography

2024
Robust Graph Meta-Learning for Weakly Supervised Few-Shot Node Classification.
ACM Trans. Knowl. Discov. Data, May, 2024

ReasoningRec: Bridging Personalized Recommendations and Human-Interpretable Explanations through LLM Reasoning.
CoRR, 2024

TwinCL: A Twin Graph Contrastive Learning Model for Collaborative Filtering.
CoRR, 2024

Mamba4Rec: Towards Efficient Sequential Recommendation with Selective State Space Models.
CoRR, 2024

Disclosure and Mitigation of Gender Bias in LLMs.
CoRR, 2024

How to Train Data-Efficient LLMs.
CoRR, 2024

Large Language Models as Data Augmenters for Cold-Start Item Recommendation.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Everything Perturbed All at Once: Enabling Differentiable Graph Attacks.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Improving Data Efficiency for Recommenders and LLMs.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

FANTAstic SEquences and Where to Find Them: Faithful and Efficient API Call Generation through State-tracked Constrained Decoding and Reranking.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

DA³: A Distribution-Aware Adversarial Attack against Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Countering Mainstream Bias via End-to-End Adaptive Local Learning.
Proceedings of the Advances in Information Retrieval, 2024

Federated Conversational Recommender Systems.
Proceedings of the Advances in Information Retrieval, 2024

The Neglected Tails in Vision-Language Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Quantifying the Impact of Disfluency on Spoken Content Summarization.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

DACL: Disfluency Augmented Curriculum Learning for Fluent Text Generation.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Behavior-Dependent Linear Recurrent Units for Efficient Sequential Recommendation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques.
Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, 2024

Political Bias of Large Language Models in Few-Shot News Summarization.
Proceedings of the Advances in Bias and Fairness in Information Retrieval, 2024

2023
DALA: A Distribution-Aware LoRA-Based Adversarial Attack against Pre-trained Language Models.
CoRR, 2023

Probing Explicit and Implicit Gender Bias through LLM Conditional Text Generation.
CoRR, 2023

Co$^2$PT: Mitigating Bias in Pre-trained Language Models through Counterfactual Contrastive Prompt Tuning.
CoRR, 2023

Automated Data Denoising for Recommendation.
CoRR, 2023

Enhancing User Personalization in Conversational Recommenders.
Proceedings of the ACM Web Conference 2023, 2023

Incorporating Time in Sequential Recommendation Models.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN).
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Unsupervised Candidate Answer Extraction through Differentiable Masker-Reconstructor Model.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Bias Neutralization in Non-Parallel Texts: A Cyclic Approach with Auxiliary Guidance.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Co²PT: Mitigating Bias in Pre-trained Language Models through Counterfactual Contrastive Prompt Tuning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Evolution of Filter Bubbles and Polarization in News Recommendation.
Proceedings of the Advances in Information Retrieval, 2023

Reinforced Sequence Training based Subjective Bias Correction.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Closed-book Question Generation via Contrastive Learning.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

PromptAttack: Probing Dialogue State Trackers with Adversarial Prompts.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Item Relationship Graph Neural Networks for E-Commerce.
IEEE Trans. Neural Networks Learn. Syst., 2022

Towards Fair Conversational Recommender Systems.
CoRR, 2022

Evolution of Popularity Bias: Empirical Study and Debiasing.
CoRR, 2022

Improving Linguistic Bias Detection in Wikipedia using Cross-Domain Adaptive Pre-Training.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

MetaBalance: Improving Multi-Task Recommendations via Adapting Gradient Magnitudes of Auxiliary Tasks.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Fighting Mainstream Bias in Recommender Systems via Local Fine Tuning.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Quantifying and Mitigating Popularity Bias in Conversational Recommender Systems.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

RES: An Interpretable Replicability Estimation System for Research Publications.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Meta Propagation Networks for Graph Few-shot Semi-supervised Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Identifying Hijacked Reviews.
CoRR, 2021

Weakly-supervised Graph Meta-learning for Few-shot Node Classification.
CoRR, 2021

Predicting the Reproducibility of Social and Behavioral Science Papers Using Supervised Learning Models.
CoRR, 2021

Fairness-aware Personalized Ranking Recommendation via Adversarial Learning.
CoRR, 2021

Rabbit Holes and Taste Distortion: Distribution-Aware Recommendation with Evolving Interests.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Towards Ongoing Detection of Linguistic Bias on Wikipedia.
Proceedings of the Companion of The Web Conference 2021, 2021

Popularity-Opportunity Bias in Collaborative Filtering.
Proceedings of the WSDM '21, 2021

Fairness among New Items in Cold Start Recommender Systems.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Sequential Recommendation for Cold-start Users with Meta Transitional Learning.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Session-based Recommendation with Hypergraph Attention Networks.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Popularity Bias in Dynamic Recommendation.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Vibe check: social resonance learning for enhanced recommendation.
Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021

2020
Understanding Car-Speak: Replacing Humans in Dealerships.
CoRR, 2020

Addressing the Target Customer Distortion Problem in Recommender Systems.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Adaptive Hierarchical Translation-based Sequential Recommendation.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Improving the Estimation of Tail Ratings in Recommender System with Multi-Latent Representations.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

User Recommendation in Content Curation Platforms.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Time to Shop for Valentine's Day: Shopping Occasions and Sequential Recommendation in E-commerce.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Key Opinion Leaders in Recommendation Systems: Opinion Elicitation and Diffusion.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Consistency-Aware Recommendation for User-Generated Item List Continuation.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Measuring and Mitigating Item Under-Recommendation Bias in Personalized Ranking Systems.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Next-item Recommendation with Sequential Hypergraphs.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

ADORE: Aspect Dependent Online REview Labeling for Review Generation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Unbiased Implicit Recommendation and Propensity Estimation via Combinational Joint Learning.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Content-Collaborative Disentanglement Representation Learning for Enhanced Recommendation.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

PARADE: A New Dataset for Paraphrase Identification Requiring Computer Science Domain Knowledge.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Recommending Music Curators: A Neural Style-Aware Approach.
Proceedings of the Advances in Information Retrieval, 2020

Towards an Automated Writing Assistant for Online Reviews.
Proceedings of the Workshop on Automation Experience across Domains, 2020

2019
Tensor Completion Algorithms in Big Data Analytics.
ACM Trans. Knowl. Discov. Data, 2019

Consistency-Aware Recommendation for User-Generated ItemList Continuation.
CoRR, 2019

Improving Top-K Recommendation via JointCollaborative Autoencoders.
Proceedings of the World Wide Web Conference, 2019

Recurrent Recommendation with Local Coherence.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

An Interpretable Neural Model with Interactive Stepwise Influence.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

TOmCAT: Target-Oriented Crowd Review Attacks and Countermeasures.
Proceedings of the Thirteenth International Conference on Web and Social Media, 2019

A Large-Scale Study of ISIS Social Media Strategy: Community Size, Collective Influence, and Behavioral Impact.
Proceedings of the Thirteenth International Conference on Web and Social Media, 2019

Instagrammers, Fashionistas, and Me: Recurrent Fashion Recommendation with Implicit Visual Influence.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Wide-Ranging Review Manipulation Attacks: Model, Empirical Study, and Countermeasures.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

A Hierarchical Self-Attentive Model for Recommending User-Generated Item Lists.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Geography and Web Communities.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Dublin Core.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Topic Maps.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Data Dictionary.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Editorial.
IEEE Trans. Serv. Comput., 2018

ACM Transactions on Interactive Intelligent Systems (TiiS) Special Issue on Trust and Influence in Intelligent Human-Machine Interaction.
ACM Trans. Interact. Intell. Syst., 2018

Fairness-Aware Recommendation of Information Curators.
CoRR, 2018

Neural Personalized Ranking for Image Recommendation.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Combating Crowdsourced Review Manipulators: A Neighborhood-Based Approach.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Vitriol on Social Media: Curation and Investigation.
Proceedings of the Social Informatics, 2018

Learning Geo-Social User Topical Profiles with Bayesian Hierarchical User Factorization.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

TrailMix: An Ensemble Recommender System for Playlist Curation and Continuation.
Proceedings of the ACM Recommender Systems Challenge, 2018

Quality-aware neural complementary item recommendation.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Pseudo-Implicit Feedback for Alleviating Data Sparsity in Top-K Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2018

DisTenC: A Distributed Algorithm for Scalable Tensor Completion on Spark.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Fairness-Aware Tensor-Based Recommendation.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Behavior-based Community Detection: Application to Host Assessment In Enterprise Information Networks.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

CrowdEval: A Cost-Efficient Strategy to Evaluate Crowdsourced Worker's Reliability.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Location-Sensitive User Profiling Using Crowdsourced Labels.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Badly Evolved? Exploring Long-Surviving Suspicious Users on Twitter.
Proceedings of the Social Informatics, 2017

Crowdsourced App Review Manipulation.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

What Are You Known For?: Learning User Topical Profiles with Implicit and Explicit Footprints.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Online Deception Detection Refueled by Real World Data Collection.
Proceedings of the International Conference Recent Advances in Natural Language Processing, 2017

Multi-Aspect Streaming Tensor Completion.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Behavioral Analysis of Review Fraud: Linking Malicious Crowdsourcing to Amazon and Beyond.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017

Dynamic Contract Design for Heterogenous Workers in Crowdsourcing for Quality Control.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

2016
On Local Expert Discovery via Geo-Located Crowds, Queries, and Candidates.
ACM Trans. Spatial Algorithms Syst., 2016

Discovering What You're Known For: A Contextual Poisson Factorization Approach.
Proceedings of the 10th ACM Conference on Recommender Systems, 2016

TAPER: A Contextual Tensor-Based Approach for Personalized Expert Recommendation.
Proceedings of the 10th ACM Conference on Recommender Systems, 2016

LExL: A Learning Approach for Local Expert Discovery on Twitter.
Proceedings of the Advances in Information Retrieval, 2016

CrowdSelect: Increasing Accuracy of Crowdsourcing Tasks through Behavior Prediction and User Selection.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Uncovering the Spatio-Temporal Dynamics of Memes in the Presence of Incomplete Information.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Community-based geospatial tag estimation.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

College Towns, Vacation Spots, and Tech Hubs: Using Geo-Social Media to Model and Compare Locations.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Creating Diverse Product Review Summaries: A Graph Approach.
Proceedings of the Web Information Systems Engineering - WISE 2015, 2015

Uncovering Crowdsourced Manipulation of Online Reviews.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

SIGIR 2015 Workshop on Temporal, Social and Spatially-aware Information Access (#TAIA2015).
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Exploiting Geo-Spatial Preference for Personalized Expert Recommendation.
Proceedings of the 9th ACM Conference on Recommender Systems, 2015

Crowds, Gigs, and Super Sellers: A Measurement Study of a Supply-Driven Crowdsourcing Marketplace.
Proceedings of the Ninth International Conference on Web and Social Media, 2015

A Noise-Filtering Approach for Spatio-temporal Event Detection in Social Media.
Proceedings of the Advances in Information Retrieval, 2015

Detecting Spam URLs in Social Media via Behavioral Analysis.
Proceedings of the Advances in Information Retrieval, 2015

BiasWatch: A Lightweight System for Discovering and Tracking Topic-Sensitive Opinion Bias in Social Media.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Organic or Organized?: Exploring URL Sharing Behavior.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
Report on the WebQuality 2014 Workshop.
SIGIR Forum, 2014

Social spam, campaigns, misinformation and crowdturfing.
Proceedings of the 23rd International World Wide Web Conference, 2014

Finding local experts on twitter.
Proceedings of the 23rd International World Wide Web Conference, 2014

Who is the barbecue king of texas?: a geo-spatial approach to finding local experts on twitter.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

DUBMOD14 - International Workshop on Data-driven User Behavioral Modeling and Mining from Social Media.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Behavioral detection of spam URL sharing: Posting patterns versus click patterns.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

2013
Exploitation in Human Computation Systems.
Proceedings of the Handbook of Human Computation, 2013

Campaign extraction from social media.
ACM Trans. Intell. Syst. Technol., 2013

A content-driven framework for geolocating microblog users.
ACM Trans. Intell. Syst. Technol., 2013

Editorial for CollaborateCom 2011 Special Issue.
Mob. Networks Appl., 2013

Towards Geo-Social Intelligence: Mining, Analyzing, and Leveraging Geospatial Footprints in Social Media.
IEEE Data Eng. Bull., 2013

Text vs. images: on the viability of social media to assess earthquake damage.
Proceedings of the 22nd International World Wide Web Conference, 2013

Board coherence in Pinterest: non-visual aspects of a visual site.
Proceedings of the 22nd International World Wide Web Conference, 2013

Spatio-temporal dynamics of online memes: a study of geo-tagged tweets.
Proceedings of the 22nd International World Wide Web Conference, 2013

Mining Potential Domain Expertise in Pinterest.
Proceedings of the Late-Breaking Results, 2013

Board Recommendation in Pinterest.
Proceedings of the Late-Breaking Results, 2013

Crowdturfers, Campaigns, and Social Media: Tracking and Revealing Crowdsourced Manipulation of Social Media.
Proceedings of the Seventh International Conference on Weblogs and Social Media, 2013

Combating Threats to Collective Attention in Social Media: An Evaluation.
Proceedings of the Seventh International Conference on Weblogs and Social Media, 2013

How big is the crowd?: event and location based population modeling in social media.
Proceedings of the 24th ACM Conference on Hypertext and Social Media (part of ECRC), 2013

Location prediction in social media based on tie strength.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

DUBMOD13: international workshop on data-driven user behavioral modelling and mining from social media.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Spatio-temporal meme prediction: learning what hashtags will be popular where.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
Predicting community preference of comments on the Social Web.
Web Intell. Agent Syst., 2012

Temporal dynamics of communities in social bookmarking systems.
Soc. Netw. Anal. Min., 2012

Detecting collective attention spam.
Proceedings of the 2nd Joint WICOW/AIRWeb Workshop on Web Quality, 2012

Predicting semantic annotations on the real-time web.
Proceedings of the 23rd ACM Conference on Hypertext and Social Media, 2012

Public checkins versus private queries: measuring and evaluating spatial preference.
Proceedings of the 5th ACM SIGSPATIAL International Workshop on Location-Based Social Networks, 2012

DUBMMSM'12: international workshop on data-driven user behavioral modeling and mining from social media.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Spatial influence vs. community influence: modeling the global spread of social media.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Content-based crowd retrieval on the real-time web.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Transient crowd discovery on the real-time social web.
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

Expert-Driven Topical Classification of Short Message Streams.
Proceedings of the PASSAT/SocialCom 2011, Privacy, 2011

CrowdTracker: enabling community-based real-time web monitoring.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Hierarchical comments-based clustering.
Proceedings of the 2011 ACM Symposium on Applied Computing (SAC), TaiChung, Taiwan, March 21, 2011

Seven Months with the Devils: A Long-Term Study of Content Polluters on Twitter.
Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011

Summarizing User-Contributed Comments.
Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011

Exploring Millions of Footprints in Location Sharing Services.
Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011

A geographic study of tie strength in social media.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Content-driven detection of campaigns in social media.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Discovering trending phrases on information streams.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Toward traffic-driven location-based web search.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010
The SocialTrust framework for trusted social information management: Architecture and algorithms.
Inf. Sci., 2010

The social honeypot project: protecting online communities from spammers.
Proceedings of the 19th International Conference on World Wide Web, 2010

Uncovering social spammers: social honeypots + machine learning.
Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

Devils, Angels, and Robots: Tempting Destructive Users in Social Media.
Proceedings of the Fourth International Conference on Weblogs and Social Media, 2010

Community-based ranking of the social web.
Proceedings of the HT'10, 2010

A Summary of Granular Computing System Vulnerabilities: Exploring the Dark Side of Social Networking Communities.
Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

SocialTrust++: Building community-based trust in Social Information Systems.
Proceedings of the 6th International Conference on Collaborative Computing: Networking, 2010

Identifying hotspots on the real-time web.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

You are where you tweet: a content-based approach to geo-locating twitter users.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009
Dublin Core.
Proceedings of the Encyclopedia of Database Systems, 2009

Topic Maps.
Proceedings of the Encyclopedia of Database Systems, 2009

Data Dictionary.
Proceedings of the Encyclopedia of Database Systems, 2009

Granular Computing System Vulnerabilities: Exploring the Dark Side of Social Networking Communities.
Proceedings of the Encyclopedia of Complexity and Systems Science, 2009

A Parameterized Approach to Spam-Resilient Link Analysis of the Web.
IEEE Trans. Parallel Distributed Syst., 2009

PageRank for ranking authors in co-citation networks.
J. Assoc. Inf. Sci. Technol., 2009

Profiling Social Networks: A Social Tagging Perspective.
D Lib Mag., 2009

Analyzing and Predicting Community Preference of Socially Generated Metadata: A Case Study on Comments in the Digg Community.
Proceedings of the Third International Conference on Weblogs and Social Media, 2009

A Categorical Model for Discovering Latent Structure in Social Annotations.
Proceedings of the Third International Conference on Weblogs and Social Media, 2009

Probabilistic Generative Models of the Social Annotation Process.
Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, 2009

Ranking Comments on the Social Web.
Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, 2009

2008
Plurality: a context-aware personalized tagging system.
Proceedings of the 17th International Conference on World Wide Web, 2008

Towards robust trust establishment in web-based social networks with socialtrust.
Proceedings of the 17th International Conference on World Wide Web, 2008

Exploring Feedback Models in Interactive Tagging.
Proceedings of the 2008 IEEE / WIC / ACM International Conference on Web Intelligence, 2008

Socialtrust: tamper-resilient trust establishment in online communities.
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2008

A Large-Scale Study of MySpace: Observations and Implications for Online Social Networks.
Proceedings of the Second International Conference on Weblogs and Social Media, 2008

Predicting web spam with HTTP session information.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

Social Honeypots: Making Friends With A Spammer Near You.
Proceedings of the CEAS 2008, 2008

2007
Service Class Driven Dynamic Data Source Discovery with DynaBot.
Int. J. Web Serv. Res., 2007

Development of Distance Measures for Process Mining, Discovery and Integration.
Int. J. Web Serv. Res., 2007

Workflow management for enterprise transformation.
Inf. Knowl. Syst. Manag., 2007

Countering web spam with credibility-based link analysis.
Proceedings of the Twenty-Sixth Annual ACM Symposium on Principles of Distributed Computing, 2007

Spam-Resilient Web Rankings via Influence Throttling.
Proceedings of the 21th International Parallel and Distributed Processing Symposium (IPDPS 2007), 2007

DSphere: A Source-Centric Approach to Crawling, Indexing and Searching the World Wide Web.
Proceedings of the 23rd International Conference on Data Engineering, 2007

Characterizing Web Spam Using Content and HTTP Session Analysis.
Proceedings of the CEAS 2007, 2007

2006
Discovering Interesting Relationships among Deep Web Databases: A Source-Biased Approach.
World Wide Web, 2006

XWRAPComposer: A Multi-Page Data Extraction Service.
Int. J. Web Serv. Res., 2006

Distributed query sampling: a quality-conscious approach.
Proceedings of the SIGIR 2006: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2006

Process Mining, Discovery, and Integration using Distance Measures.
Proceedings of the 2006 IEEE International Conference on Web Services (ICWS 2006), 2006

Link-Based Ranking of the Web with Source-Centric Collaboration.
Proceedings of the 2nd International ICST Conference on Collaborative Computing: Networking, 2006

Introducing the Webb Spam Corpus: Using Email Spam to Identify Web Spam Automatically.
Proceedings of the CEAS 2006, 2006

Process Mining by Measuring Process Block Similarity.
Proceedings of the Business Process Management Workshops, 2006

2005
QA-Pagelet: Data Preparation Techniques for Large-Scale Data Analysis of the Deep Web.
IEEE Trans. Knowl. Data Eng., 2005

A methodical approach to extracting interesting objects from dynamic web pages.
Int. J. Web Grid Serv., 2005

Exploiting the deep web with DynaBot: matching, probing, and ranking.
Proceedings of the 14th international conference on World Wide Web, 2005

XPACK: A High-Performance WEB Document Encoding.
Proceedings of the WEBIST 2005, 2005

Domain-Specific Web Service Discovery with Service Class Descriptions.
Proceedings of the 2005 IEEE International Conference on Web Services (ICWS 2005), 2005

XWRAPComposer: A Multi-Page Data Extraction Service for Bio-Computing Applications.
Proceedings of the 2005 IEEE International Conference on Services Computing (SCC 2005), 2005

2004
Discovering and ranking web services with BASIL: a personalized approach with biased focus.
Proceedings of the Service-Oriented Computing, 2004

Probe, Cluster, and Discover: Focused Extraction of QA-Pagelets from the Deep Web.
Proceedings of the 20th International Conference on Data Engineering, 2004


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