We approach Information Retrieval (IR) from a User eXperience (UX) perspective. Through introducing a model for Information Retrieval eXperience (IRX), this paper operationalizes a perspective on IR that reaches beyond topicality. Based on a document's topicality, complexity, and emotional value, a model of relevance is proposed to influence user's IRX and, consequently, the synthesis and use of the retrieved information. Additionally, methods are discussed to assess UX through interaction and feedback mechanisms. As such, the proposed multi-dimensional IRX model is highly user-dependent and determines document's relevance from a non-traditional human-centered, personalized perspective on IR
Introduction. The design of information systems has traditionally focused on algorithmic relevance. ...
This article introduces the concept of relevance as viewed and applied in the context of IR evaluati...
Preliminary experimentation demonstrates that although a system that allows for context specific spo...
Abstract: In this chapter, we study and present our results on the problem of employing a cognitive ...
In this paper we look at some of the problems in interacting with best-match retrieval systems. In p...
As information resources become widely accessible, it becomes crucial that users’ needs are investig...
Abstract. Information retrieval (IR) systems are traditionally developed using the objective relevan...
Information retrieval (IR) systems are traditionally developed using the objective relevance approac...
Traditional information retrieval (IR) systems are developed based on the “best match” principle whi...
Abstract. This paper argues that a new paradigm for information retrieval has evolved that incorpora...
[About the book] Information retrieval (IR) is a complex human activity supported by sophisticate...
Information behaviour has evolved to focus on the dynamic human information interactions (HII) betwe...
Colloque avec actes et comité de lecture. internationale.International audienceIn information retrie...
This paper briefly summarizes the history of evaluation in information retrieval and describes both...
Measuring relevance of documents with respect to a user’s query is at the heart of information retri...
Introduction. The design of information systems has traditionally focused on algorithmic relevance. ...
This article introduces the concept of relevance as viewed and applied in the context of IR evaluati...
Preliminary experimentation demonstrates that although a system that allows for context specific spo...
Abstract: In this chapter, we study and present our results on the problem of employing a cognitive ...
In this paper we look at some of the problems in interacting with best-match retrieval systems. In p...
As information resources become widely accessible, it becomes crucial that users’ needs are investig...
Abstract. Information retrieval (IR) systems are traditionally developed using the objective relevan...
Information retrieval (IR) systems are traditionally developed using the objective relevance approac...
Traditional information retrieval (IR) systems are developed based on the “best match” principle whi...
Abstract. This paper argues that a new paradigm for information retrieval has evolved that incorpora...
[About the book] Information retrieval (IR) is a complex human activity supported by sophisticate...
Information behaviour has evolved to focus on the dynamic human information interactions (HII) betwe...
Colloque avec actes et comité de lecture. internationale.International audienceIn information retrie...
This paper briefly summarizes the history of evaluation in information retrieval and describes both...
Measuring relevance of documents with respect to a user’s query is at the heart of information retri...
Introduction. The design of information systems has traditionally focused on algorithmic relevance. ...
This article introduces the concept of relevance as viewed and applied in the context of IR evaluati...
Preliminary experimentation demonstrates that although a system that allows for context specific spo...