Paper Info
Title
The quantitative analysis of user behavior online – data, models and algorithms
Abstract
By blending principles from mechanism design, algorithms, machine learning and massive distributed computing, the search industry has become good at optimizing monetization on sound scientific principles. This represents a successful and growing partnership between computer science and microeconomics. When it comes to understanding how online users respond to the content and experiences presented to them, we have more of a lacuna in the collaboration between computer science and certain social sciences. We will use a concrete technical example from image search results presentation, developing in the process some algorithmic and machine learning problems of interest in their own right. We then use this example to motivate the kinds of studies that need to grow between computer science and the social sciences; a critical element of this is the need to blend large-scale data analysis with smaller-scale eye-tracking and “individualized” lab studies.
Year
DOI
Venue
2010
10.1007/978-3-642-13731-0_16
scandinavian workshop on algorithm theory
Keywords
DocType
Volume
mechanism design,large-scale data analysis,certain social science,quantitative analysis,image search results presentation,lab study,concrete technical example,social science,user behavior online,critical element,search industry,computer science,data model,machine learning,distributed computing,data analysis,eye tracking
Conference
6139
ISSN
ISBN
Citations 
0302-9743
3-642-13730-X
0
PageRank 
References 
Authors
0.34
2
1
Name
Order
Citations
PageRank
Prabhakar Raghavan1133512776.61