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A user browsing model to predict search engine click data from past observations.
TLDR
In this paper, we propose a set of assumptions on user browsing behavior that allows the estimation of the probability that a document is seen, thereby providing an unbiased estimate of document relevance. Expand
Models of user engagement
TLDR
This paper provides initial insights into engagement patterns, allowing for a better understanding of the important characteristics of how users repeatedly interact with a service or group of services. Expand
Absence time and user engagement: evaluating ranking functions
TLDR
In the online industry, user engagement is measured with various engagement metrics used to assess users' depth of engagement with a website. Expand
A Study of Mobile Search Queries in Japan
TLDR
In this paper we study the characteristics of search queries on mobile phones in Japan, comparing them with previous results of generic search queries in Japan and mobilesearch queries in the USA. Expand
Evaluation in (XML) information retrieval: expected precision-recall with user modelling (EPRUM)
TLDR
EPRUM is a generalisation of Precision-Recall (PR) that aims at allowing the user to navigate or browse in the corpus structure. Expand
A model to estimate intrinsic document relevance from the clickthrough logs of a web search engine
TLDR
We propose a new model to interpret the clickthrough logs of a web search engine. Expand
Modeling user search behavior
TLDR
We focus the attention on search engines analyzing query log data and showing several models about how users search and how users use search engine results. Expand
Precision recall with user modeling (PRUM): Application to structured information retrieval
TLDR
This article proposes an explicit and formal user model that encompasses a large variety of user behaviors. Expand
Latent concepts and the number orthogonal factors in latent semantic analysis
TLDR
We seek insight into Latent Semantic Indexing by establishing a method to identify the optimal number of factors in the reduced matrix for representing a keyword. Expand
Web Search Engine Evaluation Using Clickthrough Data and a User Model
TLDR
We propose a generative model to predict user clicks on document snippets based on user sessions recorded in the query logs. Expand
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