In this paper we examine the extent to which implicit feedback (where the system attempts to estimate what the user may be interested in) can act as a substitute for explicit feedback (where searchers explicitly mark documents relevant). Therefore, we attempt to side-step the problem of getting users to explicitly mark documents relevant by making predictions on relevance through analysing the user's interaction with the system. Specifically, we hypothesised that implicit and explicit feedback were interchangeable as sources of relevance information for relevance feedback. Through developing a system that utilised each type of feedback we were able to compare the two approaches in terms of search effectiveness
Implicit relevance feedback (IRF) is the process by which a search system unobtrusively gathers evid...
In this paper we present an evaluation of techniques that are designed to encourage web searchers to...
This dissertation investigated several important issues in using implicit feedback techniques to ass...
In this paper we examine the extent to which implicit feedback (where the system attempts to estimat...
In this paper we report on the application of two contrasting types of relevance feedback for web re...
In this paper we report on a study of implicit feedback models for unobtrusively tracking the inform...
Searchers can find the construction of query statements for submission to Information Retrieval (IR)...
Rigorous analysis of user interest in web documents is essential for the development of recommender ...
In this article we describe an evaluation of relevance feedback (RF) algorithms using searcher simul...
AbstractRigorous analysis of user interest in web documents is essential for the development of reco...
Rigorous analysis of user interest in web documents is essential for the development of recommender ...
Whenever access to information is mediated by a computer, we can easily record how users respond to ...
This literature review provides an overview of the various topics related to using implicit feedbac...
Purpose – The purpose of this paper is to improve users’ search results relevancy by manipulating th...
We evaluate the use of clickthrough information as implicit relevance feedback in sessions. We emplo...
Implicit relevance feedback (IRF) is the process by which a search system unobtrusively gathers evid...
In this paper we present an evaluation of techniques that are designed to encourage web searchers to...
This dissertation investigated several important issues in using implicit feedback techniques to ass...
In this paper we examine the extent to which implicit feedback (where the system attempts to estimat...
In this paper we report on the application of two contrasting types of relevance feedback for web re...
In this paper we report on a study of implicit feedback models for unobtrusively tracking the inform...
Searchers can find the construction of query statements for submission to Information Retrieval (IR)...
Rigorous analysis of user interest in web documents is essential for the development of recommender ...
In this article we describe an evaluation of relevance feedback (RF) algorithms using searcher simul...
AbstractRigorous analysis of user interest in web documents is essential for the development of reco...
Rigorous analysis of user interest in web documents is essential for the development of recommender ...
Whenever access to information is mediated by a computer, we can easily record how users respond to ...
This literature review provides an overview of the various topics related to using implicit feedbac...
Purpose – The purpose of this paper is to improve users’ search results relevancy by manipulating th...
We evaluate the use of clickthrough information as implicit relevance feedback in sessions. We emplo...
Implicit relevance feedback (IRF) is the process by which a search system unobtrusively gathers evid...
In this paper we present an evaluation of techniques that are designed to encourage web searchers to...
This dissertation investigated several important issues in using implicit feedback techniques to ass...