In this paper, we present five user experiments on incorporating behavioral information into the relevance feedback process. In particular, we concentrate on ranking terms for query expansion and selecting new terms to add to the user’s query. Our experiments are an attempt to widen the evidence used for relevance feedback from simply the relevant documents to include information on how users a...

The possibility that influenza activity can be generally detected through search log analysis has been explored in recent years. However, previous studies have mainly focused on influenza, and little attention has been paid to other epidemics. With an analysis of web user behavior data, we consider the problem of predicting the tendency of hand-foot -and-mouth disease (HFMD), whose outbreak in ...

Understanding search behavior is important and leads to more effective interfaces that support searchers throughout the search process. In this article, through an observational user study, we investigate the search behavior of 15 visually impaired and 15 sighted searchers while they complete complex search tasks online. We study complex search tasks because they are challenging, cognitively in...

In this paper, we describe a quantitative study of personality aspects and their relationship with web search information behavior. We start with introducing personality and give an overview of information behavior research concerning personality aspects. In our study of 30 participants, their personality traits were operationalized by using a version of the Big 5, the B5T, a psychometric quest...

This chapter offers a selective review of behavioral and ecological perspectives on search behavior. Basic results from foraging theory are presented and their relationship to search is discussed. Techniques for the statistical description of searching motion are outlined, with a focus on the correlated random walk and the so-called Lévy fl ights— a technique that holds considerable promise. Th...

A large part of today’s information retrieval studies focuses on modeling user search behavior to improve search algorithms, evaluate their quality and simulate users. Most of previous research on user modeling considers homogeneous search environments, where search devices, users, their search tasks and corresponding search results are assumed to be uniform. However, real-world search environm...

Personalized search approaches tailor search results to users’ current interests, so as to help improve the likelihood of a user finding relevant documents for their query. Previous work on personalized search focuses on using the content of the user’s query and of the documents clicked to model the user’s preference. In this paper we focus on a different type of signal: We investigate the use ...

We examine the effects of human resource management (HRM) practices (e.g., career development, social support, compensation, and security) on IT professionals‟ job search behavior. Job search is a relatively novel dependent variable in studies of voluntary withdrawal behavior, in general, and for IT professionals, in particular. From a universalistic perspective, HRM practices individually and ...

background: ethical values offer a framework for behavior assessment, and nursing values influence nurses’ goals, strategies,and actions. a literature review was adopted in order to determine and define ethical values for nurses. materials and methods: this literature review was conducted based on the centre for reviews and dissemination guidelines. the key words used to search relevant sources...