Skip to main navigation
Skip to search
Skip to main content
New Jersey Institute of Technology Home
Help & FAQ
Home
Profiles
Research units
Facilities
Federal Grants
Research output
Press/Media
Search by expertise, name or affiliation
Predictive models and analysis for webpage depth-level dwell time
Chong Wang
, Shuai Zhao
, Achir Kalra
,
Cristian Borcea
,
Yi Chen
Computer Science
Center for Big Data
MT School of Management
Research output
:
Contribution to journal
›
Article
›
peer-review
2
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Predictive models and analysis for webpage depth-level dwell time'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Predictive Models
100%
Dwell Time
100%
Depth Level
100%
Predictive Analysis
100%
Data Sparsity
66%
Time Series Information
66%
User Behavior
33%
Behavioral Data
33%
Browser
33%
Timing Behavior
33%
Advertisers
33%
Triplet
33%
Behavioral Variation
33%
Auxiliary Information
33%
Historic Data
33%
Factorization Machines
33%
Visible Area
33%
Viewability Prediction
33%
Online Display Ads
33%
Page Views
33%
Field-aware Factorization Machine
33%
Ad Effectiveness
33%
Marketing Efficiency
33%
Computer Science
Predictive Model
100%
Dwell Time
100%
Predictive Analysis
100%
Sparsity
66%
User Behavior
33%
Experimental Result
33%
Collected Data
33%
Auxiliary Information
33%
Engineering
Dwell Time
100%
Sparsity
66%
Collected Data
33%
Experimental Result
33%
Sufficient Time
33%