Personalization of information retrieval (PIR) is aimed at tailoring a search toward individual
users and user groups by taking account of additional information about users besides their …

We present a semantic imitation model of social tagging and exploratory search based on
theories of cognitive science. The model assumes that social tags evoke a spontaneous tag …

User domain knowledge affects search behaviors and search success. Predicting a user's
knowledge level from implicit evidence such as search behaviors could allow an adaptive …

It is a frequently seen scenario that when people are not familiar with their search topics,
they use a simple keyword search, which leads to a large amount of search results in …

The maturation of semantic technologies and the growing popularity of the Linked Open
Data (LOD) cloud make it possible to expose linked semantic data sets to end users in order …

In this paper, we revisit the definition of Exploratory Search tasks after 4 years of
contributions from the Information Seeking and Retrieval community. We consolidate the …

Social Tagging is a recent widespread phenomenon on the Web where people assign
labels (tags) to Web resources. It has been hypothesized to support collaborative …

One intended use of search systems is to learn about a subject topic through searching.
How do people feel about learning when they use search systems? This study investigates …

We address the question of how shared meaning emerges in mass collaboration settings in
education when it is not bound to a predefined curriculum. We take social tagging as an …

Sometimes we search for simple facts. Other times we search for relationships between
concepts. While existing information retrieval systems work well for simple searches, they …