Item-centric summaries of recommender systems results fail to provide an overall perspective on consumer satisfaction because they focus on features and aspects of suggestions. However, the appreciation of items is not only a matter of liking their properties. The whole process of their fruition, which might involve interacting with services and other actors, should be taken into account to enhance user awareness and decision-making. To address this issue, we present a visual summarization model that supports a holistic overview of search results by exploiting an explicit representation of the service underlying item fruition as a basis to measure multiple user experience evaluation dimensions. We instantiated our model on the home-booking domain. A preliminary user study has shown its usefulness as an information filtering tool to screen recommendation lists down to a small set of promising options.

Holistic Summarization of Recommender Systems Results

Noemi Mauro;Zhongli Filippo Hu;Liliana Ardissono;Sara Capecchi;Gianmarco Izzi;Claudio Mattutino
2021

Abstract

Item-centric summaries of recommender systems results fail to provide an overall perspective on consumer satisfaction because they focus on features and aspects of suggestions. However, the appreciation of items is not only a matter of liking their properties. The whole process of their fruition, which might involve interacting with services and other actors, should be taken into account to enhance user awareness and decision-making. To address this issue, we present a visual summarization model that supports a holistic overview of search results by exploiting an explicit representation of the service underlying item fruition as a basis to measure multiple user experience evaluation dimensions. We instantiated our model on the home-booking domain. A preliminary user study has shown its usefulness as an information filtering tool to screen recommendation lists down to a small set of promising options.
11th Italian Information Retrieval Workshop 2021
Bari
13-15 September, 2021
IIR 2021 - 11th Italian Information Retrieval Workshop 2021
CEUR
2947
1
8
http://ceur-ws.org/Vol-2947/paper8.pdf
Interactive information exploration, Information visualization, Service Journey Maps
Noemi Mauro, Zhongli Filippo Hu, Liliana Ardissono, Sara Capecchi, Gianmarco Izzi, Claudio Mattutino
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2318/1804176
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