Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
The role of individual differences in Internet searching: an empirical study
Journal of the American Society for Information Science and Technology
Digital Divide?: Civic Engagement, Information Poverty, and the Internet Worldwide
Digital Divide?: Civic Engagement, Information Poverty, and the Internet Worldwide
Web mining for web personalization
ACM Transactions on Internet Technology (TOIT)
k-anonymity: a model for protecting privacy
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
ACM SIGIR Forum
Journal of the American Society for Information Science and Technology
Web search strategies and human individual differences: A combined analysis: Research Articles
Journal of the American Society for Information Science and Technology
Personalizing search via automated analysis of interests and activities
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
The influence of task and gender on search and evaluation behavior using Google
Information Processing and Management: an International Journal
Demographic prediction based on user's browsing behavior
Proceedings of the 16th international conference on World Wide Web
"I know what you did last summer": query logs and user privacy
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Entropy of search logs: how hard is search? with personalization? with backoff?
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Proceedings of the 2008 ACM conference on Computer supported cooperative work
Discovering and using groups to improve personalized search
Proceedings of the Second ACM International Conference on Web Search and Data Mining
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Who uses web search for what: and how
Proceedings of the fourth ACM international conference on Web search and data mining
Towards detecting influenza epidemics by analyzing Twitter messages
Proceedings of the First Workshop on Social Media Analytics
Democrats, republicans and starbucks afficionados: user classification in twitter
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
What and how children search on the web
Proceedings of the 20th ACM international conference on Information and knowledge management
Location-aware click prediction in mobile local search
Proceedings of the 20th ACM international conference on Information and knowledge management
A large-scale sentiment analysis for Yahoo! answers
Proceedings of the fifth ACM international conference on Web search and data mining
AIRS'11 Proceedings of the 7th Asia conference on Information Retrieval Technology
User see, user point: gaze and cursor alignment in web search
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the 15th International Conference on Extending Database Technology
Learning user characteristics from social tagging behavior
Proceedings of the 23rd ACM conference on Hypertext and social media
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Mining web query logs to analyze political issues
Proceedings of the 3rd Annual ACM Web Science Conference
You are where you e-mail: using e-mail data to estimate international migration rates
Proceedings of the 3rd Annual ACM Web Science Conference
The impact of task phrasing on the choice of search keywords and on the search process and success
Journal of the American Society for Information Science and Technology
Gender-based models of location from flickr
Proceedings of the ACM multimedia 2012 workshop on Geotagging and its applications in multimedia
Demographic context in web search re-ranking
Proceedings of the 21st ACM international conference on Information and knowledge management
From republicans to teenagers --- group membership and search (GRUMPS)
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
Learning to personalize query auto-completion
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Captions and biases in diagnostic search
ACM Transactions on the Web (TWEB)
Inferring the demographics of search users: social data meets search queries
Proceedings of the 22nd international conference on World Wide Web
Enhancing personalized search by mining and modeling task behavior
Proceedings of the 22nd international conference on World Wide Web
Personalized models of search satisfaction
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Beyond clicks: query reformulation as a predictor of search satisfaction
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Analysis of Search and Browsing Behavior of Young Users on the Web
ACM Transactions on the Web (TWEB)
User demographics prediction based on mobile data
Pervasive and Mobile Computing
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How does the web search behavior of "rich" and "poor" people differ? Do men and women tend to click on difffferent results for the same query? What are some queries almost exclusively issued by African Americans? These are some of the questions we address in this study. Our research combines three data sources: the query log of a major US-based web search engine, profile information provided by 28 million of its users (birth year, gender and ZIP code), and US-census information including detailed demographic information aggregated at the level of ZIP code. Through this combination we can annotate each query with, e.g. the average per-capita income in the ZIP code it originated from. Though conceptually simple, this combination immediately creates a powerful user modeling tool. The main contributions of this work are the following. First, we provide a demographic description of a large sample of search engine users in the US and show that it agrees well with the distribution of the US population. Second, we describe how different segments of the population differ in their search behavior, e.g. with respect to the queries they formulate or the URLs they click. Third, we explore applications of our methodology to improve web search relevance and to provide better query suggestions. These results enable a wide range of applications including improving web search and advertising where, for instance, targeted advertisements for "family vacations" could be adapted to the (expected) income.