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Clickstream User Behavior Models
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1006/jpdc.1997.1404openalex-snapshot
Multilevelk-way Partitioning Scheme for Irregular Graphs
inferredcites →https://doi.org/10.1007/11891321_1openalex-snapshot
Mining Significant Usage Patterns from Clickstream Data
inferredcites →https://doi.org/10.1007/978-3-642-22424-9_4openalex-snapshot
Reverse Social Engineering Attacks in Online Social Networks
inferredcites →https://doi.org/10.1016/j.chb.2015.11.043openalex-snapshot
Anonymous social media – Understanding the content and context of Yik Yak
inferredcites →https://doi.org/10.1016/j.elerap.2014.10.002openalex-snapshot
A method for discovering clusters of e-commerce interest patterns using click-stream data
inferredcites →https://doi.org/10.1088/1742-5468/2008/10/p10008openalex-snapshot
Fast unfolding of communities in large networks
inferredcites →https://doi.org/10.1089/cpb.1998.1.275openalex-snapshot
The Bad Boys of Cyberspace: Deviant Behavior in a Multimedia Chat Community
inferredcites →https://doi.org/10.1109/ictai.2004.50openalex-snapshot
Determining the number of clusters/segments in hierarchical clustering/segmentation algorithms
inferredcites →https://doi.org/10.1109/sp.2008.13openalex-snapshot
SybilLimit: A Near-Optimal Social Network Defense against Sybil Attacks
inferredcites →https://doi.org/10.1109/vast.2012.6400494openalex-snapshot
Visual cluster exploration of web clickstream data
inferredcites →https://doi.org/10.1109/wi.2005.153openalex-snapshot
UBB Mining: Finding Unexpected Browsing Behaviour in Clickstream Data to Improve a Web Site’s Design
inferredcites →https://doi.org/10.1145/1124772.1124851openalex-snapshot
Visualization of large hierarchical data by circle packing
inferredcites →https://doi.org/10.1145/1367497.1367617openalex-snapshot
Characterizing typical and atypical user sessions in clickstreams
inferredcites →https://doi.org/10.1145/1519065.1519089openalex-snapshot
User interactions in social networks and their implications
inferredcites →https://doi.org/10.1145/1644893.1644899openalex-snapshot
Understanding online social network usage from a network perspective
inferredcites →https://doi.org/10.1145/1644893.1644900openalex-snapshot
Characterizing user behavior in online social networks
inferredcites →https://doi.org/10.1145/1851182.1851226openalex-snapshot
An analysis of social network-based Sybil defenses
inferredcites →https://doi.org/10.1145/1866307.1866396openalex-snapshot
Detecting and characterizing social spam campaigns
inferredcites →https://doi.org/10.1145/1879141.1879190openalex-snapshot
Understanding latent interactions in online social networks
inferredcites →https://doi.org/10.1145/1879141.1879191openalex-snapshot
Measuring the mixing time of social graphs
inferredcites →https://doi.org/10.1145/1920261.1920263openalex-snapshot
Detecting spammers on social networks
inferredcites →https://doi.org/10.1145/2068816.2068824openalex-snapshot
An analysis of underground forums
inferredcites →https://doi.org/10.1145/2068816.2068840openalex-snapshot
Suspended accounts in retrospect
inferredcites →https://doi.org/10.1145/2068816.2068841openalex-snapshot
Uncovering social network sybils in the wild
inferredcites →https://doi.org/10.1145/2187836.2187863openalex-snapshot
Spotting fake reviewer groups in consumer reviews
inferredcites →https://doi.org/10.1145/2441776.2441873openalex-snapshot
Using edit sessions to measure participation in wikipedia
inferredcites →https://doi.org/10.1145/2660267.2660269openalex-snapshot
Uncovering Large Groups of Active Malicious Accounts in Online Social Networks
inferredcites →https://doi.org/10.1145/2702123.2702527openalex-snapshot
A Large-Scale Study of User Image Search Behavior on the Web
inferredcites →https://doi.org/10.1145/2702123.2702529openalex-snapshot
Exploring Cyberbullying and Other Toxic Behavior in Team Competition Online Games
inferredcites →https://doi.org/10.1145/2746403openalex-snapshot
Catching Synchronized Behaviors in Large Networks
inferredcites →https://doi.org/10.1145/948205openalex-snapshot
Proceedings of the 2003 ACM SIGCOMM conference on Internet measurement - IMC '03
inferredcites →https://doi.org/10.1145/956750.956815openalex-snapshot
A Web page prediction model based on click-stream tree representation of user behavior
inferredcites →https://doi.org/10.1609/icwsm.v9i1.14635openalex-snapshot
The Many Shades of Anonymity: Characterizing Anonymous Social Media Content
inferredcites →https://doi.org/10.2307/2290430openalex-snapshot
Finding Groups in Data: An Introduction to Cluster Analysis.
inferredcites →https://doi.org/10.2307/2346830openalex-snapshot
Algorithm AS 136: A K-Means Clustering Algorithm
inferredcites →https://doi.org/10.48550/arxiv.1205.3856openalex-snapshot
Social Turing Tests: Crowdsourcing Sybil Detection
inferredcites →https://doi.org/10.48550/arxiv.1512.05457openalex-snapshot
In a World That Counts: Clustering and Detecting Fake Social Engagement at Scale
inferredcites →https://doi.org/10.5210/fm.v15i1.2793openalex-snapshot
Detecting spam in a Twitter network
inferredcites →https://doi.org/10.5220/0002996201420151openalex-snapshot
DON’T FOLLOW ME - Spam Detection in Twitter
inferredcites →https://doi.org/10.5860/choice.28-4558openalex-snapshot
Finding groups in data: an introduction to cluster analysis
inferredcites →https://doi.org/10.7551/mitpress/1130.001.0001openalex-snapshot
Advances in Kernel Methods
inferredcites →https://doi.org/10.7551/mitpress/1130.003.0016openalex-snapshot
Fast Training of Support Vector Machines Using Sequential Minimal Optimization
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-030-01057-7_87openalex-snapshot
Feature Usage and Access Pattern Evaluation for Set-Top-Box Feature Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-3-030-26831-2_5openalex-snapshot
Efficient Exact Algorithm for Count Distinct Problem
inferred← citeshttps://doi.org/10.1007/978-3-030-33698-1_4openalex-snapshot
Simplifying E-Commerce Analytics by Discovering Hidden Knowledge in Big Data Clickstreams
inferred← citeshttps://doi.org/10.1007/978-3-030-91100-3_27openalex-snapshot
Behavioural User Identification from Clickstream Data for Business Improvement
inferred← citeshttps://doi.org/10.1007/978-3-031-48642-5_31openalex-snapshot
Understanding the Role of the User in Information Propagation on Online Social Networks: A Literature Review and Proposed User Model
inferred← citeshttps://doi.org/10.1007/978-3-031-67758-8_3openalex-snapshot
Analysis of Customer Behavior
inferred← citeshttps://doi.org/10.1007/978-3-031-93598-5_23openalex-snapshot
Understanding Users’ Behavior in Food Delivery Applications: The EBAI Conceptual Model for Clickstream-Based Segmentation
inferred← citeshttps://doi.org/10.1007/978-981-95-1013-9_1openalex-snapshot
Overview of Computational Structural Behavior
inferred← citeshttps://doi.org/10.1007/978-981-99-6690-5_43openalex-snapshot
Malicious Social Bots Detection in the Twitter Network Using Learning Automata with URL Features
inferred← citeshttps://doi.org/10.1007/s00500-024-09911-9openalex-snapshot
An enterprise portrait tag extraction method based on context embedding and knowledge distillation
inferred← citeshttps://doi.org/10.1007/s00778-024-00880-xopenalex-snapshot
SWOOP: top-k similarity joins over set streams
inferred← citeshttps://doi.org/10.1007/s10660-025-10071-7openalex-snapshot
ClickstreamGPT: a transformer-based generative AI approach to clickstream prediction for E-commerce platforms
inferred← citeshttps://doi.org/10.1007/s40747-023-01029-zopenalex-snapshot
An enterprise adaptive tag extraction method based on multi-feature dynamic portrait
inferred← citeshttps://doi.org/10.1016/j.im.2023.103905openalex-snapshot
Exploring the impacts of a recommendation system on an e-platform based on consumers’ online behavioral data
inferred← citeshttps://doi.org/10.1016/j.infsof.2021.106704openalex-snapshot
Automatically inferring user behavior models in large-scale web applications
inferred← citeshttps://doi.org/10.1016/j.jnca.2020.102872openalex-snapshot
Identifying click-requests for the network-side through traffic behavior
inferred← citeshttps://doi.org/10.1016/j.neucom.2020.10.070openalex-snapshot
Leveraging multi-level dependency of relational sequences for social spammer detection
inferred← citeshttps://doi.org/10.1109/access.2019.2901864openalex-snapshot
Detecting Malicious Social Bots Based on Clickstream Sequences
inferred← citeshttps://doi.org/10.1109/asonam.2018.8508353openalex-snapshot
Clickstream Analytics: An Experimental Analysis of the Amazon Users' Simulated Monthly Traffic
inferred← citeshttps://doi.org/10.1109/ccwc67433.2026.11393649openalex-snapshot
Intent-Aware Clickstream Analytics with Explainable AI: A Scalable Data Engineering Framework
inferred← citeshttps://doi.org/10.1109/icra48506.2021.9561649openalex-snapshot
Two-Stage Clustering of Human Preferences for Action Prediction in Assembly Tasks
inferred← citeshttps://doi.org/10.1109/icse-companion52605.2021.00054openalex-snapshot
Detecting User-Perceived Failure in Mobile Applications via Mining User Traces
inferred← citeshttps://doi.org/10.1109/ict49546.2020.9239491openalex-snapshot
Traceback: Learning to Identify Website’s Landing URLs via Noisy Web Traces Passively
inferred← citeshttps://doi.org/10.1109/icws60048.2023.00082openalex-snapshot
ADPal: Automatic Detection of Troubled Users in Online Service Systems via Page Access Logs
inferred← citeshttps://doi.org/10.1109/jocici69279.2026.11701726openalex-snapshot
Current Usability, Accessibility and User Experience Practices in Costa Rica - a Diagnostic Survey
inferred← citeshttps://doi.org/10.1109/ojcs.2026.3682070openalex-snapshot
Applicability of Process Mining in Usability Tests: A Case Study for Identifying User Mental Models in Geospatial Search Engines
inferred← citeshttps://doi.org/10.1109/sds54264.2021.9732109openalex-snapshot
Zero-Trust Access Control Focusing on Imbalanced Distribution in Browser Clickstreams
inferred← citeshttps://doi.org/10.1109/tcss.2023.3335935openalex-snapshot
Formal Modeling and Analysis of User Activity Sequence in Online Social Networks: A Stochastic Petri Net-Based Approach
inferred← citeshttps://doi.org/10.1145/3292500.3330750openalex-snapshot
Characterizing and Forecasting User Engagement with In-App Action Graph
inferred← citeshttps://doi.org/10.1145/3308558.3313536openalex-snapshot
Quality-Sensitive Training! Social Advertisement Generation by Leveraging User Click Behavior
inferred← citeshttps://doi.org/10.1145/3446372openalex-snapshot
Social Media Identity Deception Detection
inferred← citeshttps://doi.org/10.1145/3473343openalex-snapshot
How Do Home Computer Users Browse the Web?
inferred← citeshttps://doi.org/10.1145/3491102.3501903openalex-snapshot
Guided Bug Crush: Assist Manual GUI Testing of Android Apps via Hint Moves
inferred← citeshttps://doi.org/10.1145/3579856.3590338openalex-snapshot
Privacy-Preserving Record Linkage for Cardinality Counting
inferred← citeshttps://doi.org/10.1145/3671151.3671274openalex-snapshot
Modeling and application of Pharmacy user persona based on domain knowledge
inferred← citeshttps://doi.org/10.1145/3709026.3709117openalex-snapshot
Social Robot Recognition Based on E-GraphCTAGE Model: Integration of Facial Expression And Multi-feature Processing
inferred← citeshttps://doi.org/10.1145/3768587openalex-snapshot
Accurate, Generalizable, and Practical Behavioral Models to Identify Impending User Exposure to Malicious Websites
inferred← citeshttps://doi.org/10.1145/3787206openalex-snapshot
A Human-Centred Profiling Approach to Characterise User Roles in Information Propagation on Online Social Networks
inferred← citeshttps://doi.org/10.1145/3837873.3838052openalex-snapshot
Analysis Algorithm of Internet Economic User Behavior in Big Data Environment
inferred← citeshttps://doi.org/10.21203/rs.3.rs-4223128/v1openalex-snapshot
A Social Bot Recognition Method Combing Emojis Information
inferred← citeshttps://doi.org/10.2139/ssrn.6644175openalex-snapshot
Uncovering Customer Behavior in Mobile Banking Through Competitive Learning and Retrieval-Augmented Generative AI
inferred← citeshttps://doi.org/10.2196/91873openalex-snapshot
Combining Subjective Perceptions and Objective Behavioral Metrics With the Elderly Digital Twin System: Quantitative Usability Study
inferred← citeshttps://doi.org/10.30534/ijatcse/2020/49952020openalex-snapshot
Clickstream Data Schema for Learning Analytics to Understand Learner Behaviour
inferred← citeshttps://doi.org/10.3233/jifs-169673openalex-snapshot
Research on user behavior clustering algorithm based on mobile application
inferred← citeshttps://doi.org/10.3233/jifs-189962openalex-snapshot
User logistics profiling for terminal distribution based on adaptive large adjacent search
inferred← citeshttps://doi.org/10.3390/fi16090319openalex-snapshot
Workflow Trace Profiling and Execution Time Analysis in Quantitative Verification
inferred← citeshttps://doi.org/10.4018/979-8-3373-6450-6.ch004openalex-snapshot
Orchestrating Engagement With AI
inferred← citeshttps://doi.org/10.48550/arxiv.1906.00355openalex-snapshot
Characterizing and Forecasting User Engagement with In-app Action Graph: A Case Study of Snapchat
inferred← citeshttps://doi.org/10.48550/arxiv.2103.04694openalex-snapshot
Modeling Web Browsing Behavior across Tabs and Websites with Tracking and Prediction on the Client Side
inferred← citeshttps://doi.org/10.48550/arxiv.2103.12958openalex-snapshot
Detecting User-Perceived Failure in Mobile Applications via Mining User Traces
inferred← citeshttps://doi.org/10.5753/jisa.2024.3851openalex-snapshot
Customer segmentation in e-commerce: a context-aware quality model for comparing clustering algorithms
inferred← citeshttps://doi.org/10.7250/csimq.2024-41.04openalex-snapshot
Analysis of Algorithms for Detecting Users’ Behavioral Models based on Sessions Data
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