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11/07/2022
Justification of Recommender Systems Results: A Service-based Approach
With the increasing demand for predictable and accountable Artificial In...
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04/21/2022
Using consumer feedback from location-based services in PoI recommender systems for people with autism
When suggesting Points of Interest (PoIs) to people with autism spectrum...
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11/20/2020
User and Item-aware Estimation of Review Helpfulness
In online review sites, the analysis of user feedback for assessing its ...
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11/06/2020
Session-aware Recommendation: A Surprising Quest for the State-of-the-art
Recommender systems are designed to help users in situations of informat...
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05/07/2020
Faceted Search of Heterogeneous Geographic Information for Dynamic Map Projection
This paper proposes a faceted information exploration model that support...
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04/27/2020
Personalized Recommendation of PoIs to People with Autism
The suggestion of Points of Interest to people with Autism Spectrum Diso...
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04/01/2020
Impact of Semantic Granularity on Geographic Information Search Support
The Information Retrieval research has used semantics to provide accurat...
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04/01/2020
Map-Based Visualization of 2D/3D Spatial Data via Stylization and Tuning of Information Emphasis
In Geographical Information search, map visualization can challenge the ...
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03/30/2020
Concept-aware Geographic Information Retrieval
Textual queries are largely employed in information retrieval to let use...
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03/30/2020
Extending a Tag-based Collaborative Recommender with Co-occurring Information Interests
Collaborative Filtering is largely applied to personalize item recommend...
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03/25/2020
Multi-faceted Trust-based Collaborative Filtering
Many collaborative recommender systems leverage social correlation theor...
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03/25/2020
Session-based Suggestion of Topics for Geographic Exploratory Search
Exploratory information search can challenge users in the formulation of...
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10/28/2019
Empirical Analysis of Session-Based Recommendation Algorithms
Recommender systems are tools that support online users by pointing them...
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09/04/2019
