Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: Boost Clickbait Detection Based on User Behavior Analysis
Stop Clickbait: Detecting and preventing clickbaits in online news media
Predictive user click models based on click-through history
Applying Clickstream Data Mining to Real-Time Web Crawler Detection and Containment Using ClickTips Platform
Improving Web Search Ranking by Incorporating User Behavior Information
How to Compete Online for News Audience: Modeling Words that Attract Clicks
Clickbait Identification using Neural Networks
Characterizing Clickbaits on Instagram.
Click Fraud Resistant Methods for Learning Click-Through Rates
One Query, Many Clicks: Analysis of Queries with Multiple Clicks by the Same User
Crowdsourcing a Large Corpus of Clickbait on Twitter
Measuring and fingerprinting click-spam in ad networks
You are How You Click : Clickstream Analysis for Sybil Detection
Contextual Ranking of Keywords Using Click Data
Diving Deep into Clickbaits: Who Use Them to What Extents in Which Topics with What Effects?
Mining Significant Usage Patterns from Clickstream Data
Improving Click Fraud Detection by Real Time Data Fusion
Unsupervised Clickstream Clustering for User Behavior Analysis
Dissecting ghost clicks: ad fraud via misdirected human clicks
Counterfactual Estimation and Optimization of Click Metrics for Search Engines
Predicting clicks: estimating the click-through rate for new ads
Low vs. high-fidelity prototyping debate
Preserving positivity using piecewise cubic interpolation
Convolutional gated recurrent neural network incorporating spatial features for audio tagging
News in an online world: the need for an automatic crap detector
Argumentation in AI and Law: Editors' Introduction