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Telling How to Narrow it Down: Browsing Path Recommendation for Exploratory Search

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Telling How to Narrow it Down: Browsing Path Recommendation for Exploratory Search. / Dehghani, Mostafa; Jagfeld, Glorianna; Azarbonyad, Hosein et al.
CHIIR '17 Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieva. New York: ACM, 2017. p. 369-372.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Dehghani, M, Jagfeld, G, Azarbonyad, H, Olieman, A, Kamps, J & Marx, M 2017, Telling How to Narrow it Down: Browsing Path Recommendation for Exploratory Search. in CHIIR '17 Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieva. ACM, New York, pp. 369-372, ACM SIGIR Conference on Human Information Interaction & Retrieval, Oslo, Norway, 7/03/17. https://doi.org/10.1145/3020165.3022155

APA

Dehghani, M., Jagfeld, G., Azarbonyad, H., Olieman, A., Kamps, J., & Marx, M. (2017). Telling How to Narrow it Down: Browsing Path Recommendation for Exploratory Search. In CHIIR '17 Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieva (pp. 369-372). ACM. https://doi.org/10.1145/3020165.3022155

Vancouver

Dehghani M, Jagfeld G, Azarbonyad H, Olieman A, Kamps J, Marx M. Telling How to Narrow it Down: Browsing Path Recommendation for Exploratory Search. In CHIIR '17 Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieva. New York: ACM. 2017. p. 369-372 doi: 10.1145/3020165.3022155

Author

Dehghani, Mostafa ; Jagfeld, Glorianna ; Azarbonyad, Hosein et al. / Telling How to Narrow it Down : Browsing Path Recommendation for Exploratory Search. CHIIR '17 Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieva. New York : ACM, 2017. pp. 369-372

Bibtex

@inproceedings{28b80ba6417340c280ecde34cbf44cc1,
title = "Telling How to Narrow it Down: Browsing Path Recommendation for Exploratory Search",
abstract = "Supporting exploratory search tasks with the help of structured data is an effective way to go beyond keyword search, as it provides an overview of the data, enables users to zoom in on their intent, and provides assistance during their navigation trails. However, finding a good starting point for a search episode in the given structure can still pose a considerable challenge, as users tend to be unfamiliar with exact, complex hierarchical structure. Thus, providing lookahead clues can be of great help and allow users to make better decisions on their search trajectory.In this paper, we investigate the behaviour of users when a recommendation engine is employed along with the browsing tool in an exploratory search system. We make use of an exploratory search system that facilitates browsing by mapping the data on a hierarchical structure. We designed and developed a path recommendation engine as a feature for this system, which given a text query, ranks different browsing paths in the hierarchy based on their likelihood of covering relevant documents. We conduct a user study comparing the baseline system with the featured system.Our main findings are as follows: We observe that, using the baseline system the users tend to explore the data in a breadth-firstlike approach by visiting different data points at the same level of abstraction to choose one of them to expand and go deeper. Conversely, with browsing path recommendation (BPR) as a feature, the users tend to drive their search in a more depth-first-like approach by quickly going deep into the data hierarchy. While the users still incline to explore different parts of the search space by using BPR, they are able to restrain or augment their search focus more quickly and access smaller but more promising regions of the data. Therefore, they can complete their tasks with less time and effort.",
author = "Mostafa Dehghani and Glorianna Jagfeld and Hosein Azarbonyad and Alex Olieman and Jaap Kamps and Maarten Marx",
year = "2017",
month = mar,
day = "7",
doi = "10.1145/3020165.3022155",
language = "English",
isbn = "9781450346771",
pages = "369--372",
booktitle = "CHIIR '17 Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieva",
publisher = "ACM",
note = "ACM SIGIR Conference on Human Information Interaction & Retrieval, CHIIR ; Conference date: 07-03-2017 Through 11-03-2017",
url = "http://sigir.org/chiir2017/",

}

RIS

TY - GEN

T1 - Telling How to Narrow it Down

T2 - ACM SIGIR Conference on Human Information Interaction & Retrieval

AU - Dehghani, Mostafa

AU - Jagfeld, Glorianna

AU - Azarbonyad, Hosein

AU - Olieman, Alex

AU - Kamps, Jaap

AU - Marx, Maarten

PY - 2017/3/7

Y1 - 2017/3/7

N2 - Supporting exploratory search tasks with the help of structured data is an effective way to go beyond keyword search, as it provides an overview of the data, enables users to zoom in on their intent, and provides assistance during their navigation trails. However, finding a good starting point for a search episode in the given structure can still pose a considerable challenge, as users tend to be unfamiliar with exact, complex hierarchical structure. Thus, providing lookahead clues can be of great help and allow users to make better decisions on their search trajectory.In this paper, we investigate the behaviour of users when a recommendation engine is employed along with the browsing tool in an exploratory search system. We make use of an exploratory search system that facilitates browsing by mapping the data on a hierarchical structure. We designed and developed a path recommendation engine as a feature for this system, which given a text query, ranks different browsing paths in the hierarchy based on their likelihood of covering relevant documents. We conduct a user study comparing the baseline system with the featured system.Our main findings are as follows: We observe that, using the baseline system the users tend to explore the data in a breadth-firstlike approach by visiting different data points at the same level of abstraction to choose one of them to expand and go deeper. Conversely, with browsing path recommendation (BPR) as a feature, the users tend to drive their search in a more depth-first-like approach by quickly going deep into the data hierarchy. While the users still incline to explore different parts of the search space by using BPR, they are able to restrain or augment their search focus more quickly and access smaller but more promising regions of the data. Therefore, they can complete their tasks with less time and effort.

AB - Supporting exploratory search tasks with the help of structured data is an effective way to go beyond keyword search, as it provides an overview of the data, enables users to zoom in on their intent, and provides assistance during their navigation trails. However, finding a good starting point for a search episode in the given structure can still pose a considerable challenge, as users tend to be unfamiliar with exact, complex hierarchical structure. Thus, providing lookahead clues can be of great help and allow users to make better decisions on their search trajectory.In this paper, we investigate the behaviour of users when a recommendation engine is employed along with the browsing tool in an exploratory search system. We make use of an exploratory search system that facilitates browsing by mapping the data on a hierarchical structure. We designed and developed a path recommendation engine as a feature for this system, which given a text query, ranks different browsing paths in the hierarchy based on their likelihood of covering relevant documents. We conduct a user study comparing the baseline system with the featured system.Our main findings are as follows: We observe that, using the baseline system the users tend to explore the data in a breadth-firstlike approach by visiting different data points at the same level of abstraction to choose one of them to expand and go deeper. Conversely, with browsing path recommendation (BPR) as a feature, the users tend to drive their search in a more depth-first-like approach by quickly going deep into the data hierarchy. While the users still incline to explore different parts of the search space by using BPR, they are able to restrain or augment their search focus more quickly and access smaller but more promising regions of the data. Therefore, they can complete their tasks with less time and effort.

U2 - 10.1145/3020165.3022155

DO - 10.1145/3020165.3022155

M3 - Conference contribution/Paper

SN - 9781450346771

SP - 369

EP - 372

BT - CHIIR '17 Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieva

PB - ACM

CY - New York

Y2 - 7 March 2017 through 11 March 2017

ER -