Professor in Political Science and Computer and Information Science

David Lazer

Personalization

Peer Reviewed Computer Science Conference
Publication date: 
10/2015
Authors: 
Chloe Kliman-Silver
Ancsa Hannak
David Lazer
Christo Wilson
Alan Mislove

To cope with the immense amount of content on the web, search engines often use complex algorithms to personalize search results for individual users. However, personalization of search results has led to worries about the Filter Bubble Effect, where the personalization algorithm decides that some useful information is irrelevant to the user, and thus prevents them from locating it.

Keywords: 
Search
Personalization
Geolocation
Internet Filter Bubble
Peer Reviewed Computer Science Conference
Publication date: 
05/2013
Authors: 
Ancsa Hannak
Piotr Sapiezynski
Arash Molavi Kakhki
Balachander Krishnamurthy
David Lazer
Alan Mislove
Christo Wilson

Web search is an integral part of our daily lives. Recently, there has been a trend of personalization in Web search, where different users receive different results for the same search query. The increasing personalization is leading to concerns about Filter Bubble effects, where certain users are simply unable to access information that the search engines' algorithm decides is irrelevant.

Keywords: 
Personalization
Web search
Measurement
Peer Reviewed Computer Science Conference
Publication date: 
11/2014
Authors: 
Ancsa Hannak
Gary Soeller
David Lazer
Alan Mislove
Christo Wilson

Today, many e-commerce websites personalize their content, including Netix (movie recommendations), Amazon (product suggestions), and Yelp (business reviews). In many cases, personalization provides advantages for users: for example, when a user searches for an ambiguous query such as \router," Amazon may be able to suggest the woodworking tool instead of the networking device.

Keywords: 
Search
Personalization
E-commerce
Price discrimination
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