Eunyee Koh

MACHINE LEARNING TECHNIQUES FOR GENERATING VISUALIZATION RECOMMENDATIONS

CONTEXT AWARE AUDIO DATA AQUISITION

Interactive Network for Selecting, Ranking, Summarizing, and Exploring Data Insights

GENERATIVE ARTIFICIAL INTELLIGENCE (AI) CONTENT STRATEGY

ADAPTIVE DYNAMIC GUIDANCE IN DATA ANALYSIS TOOLS

GENERATION OF DATA STORY RECOMMENDATIONS VIA ELICITED USER FEEDBACK

Learning-based method for generating visualizations via natural language

PERFORMING MACHINE LEARNING TECHNIQUES FOR HYPERTEXT MARKUP LANGUAGE -BASED STYLE RECOMMENDATIONS

BUILDING TIME-DECAYED LINE GRAPHS FOR DIRECT EMBEDDING OF CONTINUOUS-TIMED INTERACTIONS IN GENERATING TIME-AWARE RECOMMENDATIONS

GENERATING EDITABLE EMAIL COMPONENTS UTILIZING A CONSTRAINT-BASED KNOWLEDGE REPRESENTATION

Facilitating generation and presentation of advanced insights

Generating Node Embeddings for Multiple Roles

SYSTEMS AND METHODS FOR DOCUMENT GENERATION

System and methods for providing invisible augmented reality markers

Facilitating generation and presentation of advanced insights

UTILIZING MACHINE LEARNING MODELS TO PROCESS LOW-RESULTS WEB QUERIES AND GENERATE WEB ITEM DEFICIENCY PREDICTIONS AND CORRESPONDING USER INTERFACES

Augmented reality systems for comparing physical objects

EXTENSIBLE FRAMEWORK FOR GENERATING ACCESSIBLE CAPTIONS FOR DATA VISUALIZATIONS

DASHBOARD FOR MONITORING CURRENT AND HISTORICAL CONSUMPTION AND QUALITY METRICS FOR ATTRIBUTES AND RECORDS OF A DATASET

Utilizing a graph neural network to generate visualization and attribute recommendations

DATA SELECTION BASED ON CONSUMPTION AND QUALITY METRICS FOR ATTRIBUTES AND RECORDS OF A DATASET

INTERACTIVE TREE REPRESENTING ATTRIBUTE QUALITY OR CONSUMPTION METRICS FOR DATA INGESTION AND OTHER APPLICATIONS

RECOMMENDER FOR RESPONSIVE VISUALIZATION TRANSFORMATIONS

Graph convolutional networks with motif-based attention

AUTOMATIC, PERSONALIZED, AND EXPLAINABLE APPROACH FOR MEASURING, MONITORING, AND IMPROVING DATA EFFICACY

Generating visual data stories

Systems for generating interactive reports

DYNAMIC USER INTERFACE AND MACHINE LEARNING TOOLS FOR GENERATING DIGITAL CONTENT AND MULTIVARIATE TESTING RECOMMENDATIONS

Dynamic cross-platform ask interface and natural language processing model

Facilitating generation of data visualizations via natural language processing

Machine Learning Techniques for Generating Visualization Recommendations

Segmenting users with sparse data utilizing hash partitions

Configuration of user interface for intuitive selection of insight visualizations

Generating visual data stories

Systems for suggesting content components

Temporal-based network embedding and prediction

Automated caption generation from a dataset

Personalized visualization recommendation system

Graph-based configuration of user interface for selection of features in visualization applications

Latent network summarization

Systems for suggesting content components

Dynamic clustering of sparse data utilizing hash partitions

Generating digital event recommendation sequences utilizing a dynamic user preference interface

Generating accurate and natural captions for figures

Analytics system entity resolution

System for identifying typed graphlets

Identifying and presenting misalignments between digital messages and external digital content

Predicting and visualizing outcomes using a time-aware recurrent neural network

Higher-order graph clustering

Figure captioning system and related methods

Graph convolutional networks with motif-based attention

Latent network summarization

Higher-order network embedding

Time-dependent network embedding

Predictive analysis of target behaviors utilizing RNN-based user embeddings

Generating digital event sequences utilizing a dynamic user preference interface to modify recommendation model reward functions

Generation of training data to train a classifier to identify distinct physical user devices in a cross-device context

Detecting and resolving semantic misalignments between digital messages and external digital content

Associating user logs using geo-point density

Predictive analysis of target behaviors utilizing RNN-based user embeddings

Input techniques for virtual reality headset devices with front touch screens

Network-based probabilistic device linking

Sales forecasting using browsing ratios and browsing durations

Search Result Visualization for Preserving Score Distribution Information

Organizing electronically stored files using an automatically generated storage hierarchy

Knowledge discovery from belief networks

Associating user logs using geo-point density

Input techniques for virtual reality headset devices with front touch screens

Cross-device consumer identification and device type determination

Visitor identification based on feature selection

Knowledge discovery from belief networks

Extracting reading order text and semantic entities

INFORMATION NETWORK FRAMEWORK FOR FEATURE SELECTION FIELD

Identifying web pages that are likely to guide browsing viewers to improve conversion rate

Method and apparatus for generating layout-preserved text