Personalizing Information Exploration with an Open User Model

Rahdari, Behnam; Brusilovsky, Peter; Babichenko, Dmitriy

doi:10.1145/3372923.3404797

Cited by 12 publications

(4 citation statements)

References 20 publications

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“…Many researchers proposed exploratory support interfaces to overcome the limitation of the traditional interfaces, which require searchers to evaluate the results sequentially and assess their relevance to their information needs. Some researchers proposed interfaces by adapting visualisation, categorisation, or clustering methods to foster learning and browsing when conducting exploratory searches [1,5,13,14,18,19]. Other researchers used ontology or knowledge graphs as "navigation maps, " [10,17] or as tools to help searchers when crafting queries [6].…”

Section: Motivation and Related Workmentioning

confidence: 99%

“…Previous researchers tried to overcome the limitation of traditional interfaces by designing systems and interfaces that support users who conduct exploratory searches by adapting visualisation, categorisation, or clustering methods to foster learning and browsing. For example, some researchers worked on supporting the exploration behaviour by designing advanced user interfaces with interactive keywords/key-phrases visualisation [1,5,13,14,18,19]. Other researchers focused on supporting faceted browsing beyond obvious facets such as content type and source [7].…”

Section: Phase 2: Toward Better Support Interfacesmentioning

confidence: 99%

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Towards Understanding and Supporting Exploratory Searches

Soufan

2023

Proceedings of the 2023 Conference on Human Information Interaction and Retrieval

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Exploratory search is an intuitive concept in interactive information retrieval. It is known that searchers use exploratory search strategies when learning and investigating a new domain. Many definitions for Exploratory Search have been proposed. However, the main dimensions involve high uncertainty with respect to the problem context, the user expertise, and the search process. In this work, we study exploratory search in the literature, and we provide a conceptual model of exploratory search. We also conduct a user study to examine how literature searches are exploratory and what factors influence the exploratory dimensions and characteristics. Moreover, we review the exploratory support tasks, and we try to better design and evaluate exploratory user interfaces. CCS CONCEPTS• Information systems → Search interfaces.

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Section: Motivation and Related Workmentioning

confidence: 99%

Section: Phase 2: Toward Better Support Interfacesmentioning

confidence: 99%

Towards Understanding and Supporting Exploratory Searches

Soufan

2023

Proceedings of the 2023 Conference on Human Information Interaction and Retrieval

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“…The results of their study confirmed that users prefer transparency and control in their systems and generate more trust in such systems. In the same direction, Rahdari et al [9] presented an information exploration system with an open and controllable user model, which supports undergraduate students in finding research advisors. The authors made the user model of interests directly visible and editable by the end-users so that the user can add relevant topics as well as remove less relevant keywords.…”

Section: Adaptive Systemsmentioning

confidence: 99%

“…Scrutability in RS refers to allowing users to correct their models when they disagree with (parts of) it or modify their models in order to adjust the recommendation results according to their needs and preferences [2,26]. The interest in providing scrutable user models has increased in the last decade and various studies have been conducted in this direction, presenting systems that enable scrutability and provide user control on the input layer of the RS [3,9,[32][33][34][35][36][37][38][39]. Explaining user models goes beyond just exposing and manipulating the user model to provide concrete explanations of how the user model was inferred.…”

Section: Explainable Recommender Systemsmentioning

confidence: 99%

Interactive Visualizations of Transparent User Models for Self-Actualization: A Human-Centered Design Approach

Guesmi

Chatti

Tayyar

et al. 2022

MTI

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This contribution sheds light on the potential of transparent user models for self-actualization. It discusses the development of EDUSS, a conceptual framework for self-actualization goals of transparent user modeling. Drawing from a qualitative research approach, the framework investigates self-actualization from psychology and computer science disciplines and derives a set of self-actualization goals and mechanisms. Following a human-centered design (HCD) approach, the framework was applied in an iterative process to systematically design a set of interactive visualizations to help users achieve different self-actualization goals in the scientific research domain. For this purpose, an explainable user interest model within a recommender system is utilized to provide various information on how the interest models are generated from users’ publication data. The main contributions are threefold: First, a synthesis of research on self-actualization from different domains. Second, EDUSS, a theoretically-sound self-actualization framework for transparent user modeling consisting of five main goals, namely, Explore, Develop, Understand, Scrutinize, and Socialize. Third, an instantiation of the proposed framework to effectively design interactive visualizations that can support the different self-actualization goals, following an HCD approach.

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Grapevine: A profile‐based exploratory search and recommendation system for finding research advisors

Rahdari

Brusilovsky

Babichenko

et al. 2020

Proc Assoc Inf Sci Technol

Self Cite

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Finding research advisors is an important and challenging task for college students. On one hand, a research advisor that matches student interests and past preparation could fully engage the student with an exciting and productive research experience. On the other hand, students are frequently unable to formulate their interests and experience in a way that allows them to independently find the most compatible advisors using search and browsing tools. This paper reports our experience with designing and evaluating Grapevine, an exploratory search and recommender system aimed at helping students, especially those less prepared and underrepresented in certain fields, find research advisors.

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Personalizing Information Exploration with an Open User Model

Cited by 12 publications

References 20 publications

Towards Understanding and Supporting Exploratory Searches

Towards Understanding and Supporting Exploratory Searches

Interactive Visualizations of Transparent User Models for Self-Actualization: A Human-Centered Design Approach

Grapevine: A profile‐based exploratory search and recommendation system for finding research advisors

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