The Turn – Integration of Information Seeking and Retrieval in Context

ANMELDELSE: Ingwersen, P & Järvelin, K (2005). The Turn - Integration of Information Seeking and Retrieval in Context, The Kluwer International Series on Information Retrieval, Springe

The Relationship between IR Effectiveness Measures and User Satisfaction

This paper presents an experimental study of users assessing the quality of Google web search results. In particular we look at how users' satisfaction correlates with the effectiveness of Google as quantified by IR measures such as precision and the suite of Cumulative Gain measures (CG, DCG, NDCG). Results indicate strong correlation between users' satisfaction, CG and precision, moderate correlation with DCG, with perhaps surprisingly negligible correlation with NDCG. The reasons for the low correlation with NDCG are examined

Arabic users' satisfaction with the online information as obtained from Google

This paper reports an experimental study that evaluates the retrieval effectiveness of Google in response to 104 Arabic queries. The study investigates Arabic users’ satisfaction with the accuracy and coverage of search results. Analysis of results indicates that Arabic users are not highly satisfied with the results of Google

Write While You Search: Ambient Searching of a Digital Library in the Context of Writing

We consider ideas for a tighter integration of searching a digital library while writing a paper. A prototype system based on web services is described which allows us to explore the design space of ambient search tools to support and inspire the writing process.published or submitted for publicationis peer reviewe

Content vs. context for multimedia semantics: the case of SenseCam image structuring

Much of the current work on determining multimedia semantics from multimedia artifacts is based around using either context, or using content. When leveraged thoroughly these can independently provide content description which is used in building content-based applications. However, there are few cases where multimedia semantics are determined based on an integrated analysis of content and context. In this keynote talk we present one such example system in which we use an integrated combination of the two to automatically structure large collections of images taken by a SenseCam, a device from Microsoft Research which passively records a person’s daily activities. This paper describes the post-processing we perform on SenseCam images in order to present a structured, organised visualisation of the highlights of each of the wearer’s days

Applying Science Models for Search

The paper proposes three different kinds of science models as value-added services that are integrated in the retrieval process to enhance retrieval quality. The paper discusses the approaches Search Term Recommendation, Bradfordizing and Author Centrality on a general level and addresses implementation issues of the models within a real-life retrieval environment.Comment: 14 pages, 3 figures, ISI 201

Personalised Search Time Prediction using Markov Chains

For improving the effectiveness of Interactive Information Retrieval (IIR), a system should minimise the search time by guiding the user appropriately. As a prerequisite, in any search situation, the system must be able to estimate the time the user will need for finding the next relevant document. In this paper, we show how Markov models derived from search logs can be used for predicting search times, and describe a method for evaluating these predictions. For personalising the predictions based upon a few user events observed, we devise appropriate parameter estimation methods. Our experimental results show that by observing users for only 100 seconds, the personalised predictions are already significantly better than global predictions

The Holistic Cognitive Framework for Personal Information Management Research

Descriptive Personal Information Management (PIM) studies inform us about PIM behavior and their findings should guide the design and development of PIM tools to support the behavior under study. Unfortunately, descriptive studies do not always provide useful recommendations and PIM tool research is often carried out separately. The Holistic Cognitive Framework developed by Ingwersen and Järvelin (2005, Figure 6.1, p. 261) might serve as a unifying framework for PIM researc