Towards spatial awareness in recommender systems

Stiller, Carsten; Ros, Fred; Ament, Christoph

doi:10.1109/icitst.2009.5402633

Cited by 6 publications

(1 citation statement)

References 21 publications

(1 reference statement)

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“…The considerably better results of the algorithm according to equation (4) when using data set 1 show that the algorithm is able to adapt to basic user preferences without distinct differences between the users. As already predicted in [15] these advantages dilute if more complex user behaviour is present, as within our data set 2. Here the results of the first spatial aware algorithm perform only as good as the non-spatial recommender system.…”

Section: Discussionsupporting

confidence: 78%

Integration of Spatial User-Item Relations into Recommender Systems

Stiller¹,

Roß²,

Ament³

2010

IJI

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Recommender systems aggregate information about users and items to be recommended to generate adequate recommendations. This paper proposes two approaches to include information about spatial relationships of users and items in order to improve the quality of recommendations. The two approaches are compared with non-spatial recommendation using two synthesized data sets and four different evaluation metrics. The results show how spatial information can improve recommender results. Furthermore each of the two approaches can perform better than the other, depending on what assumption of user behaviour is represented by the data set. Special ramp-up problems, occurring when including spatial information into recommender systems and different application areas for spatial recommender systems are discussed.

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Section: Discussionsupporting

confidence: 78%

Integration of Spatial User-Item Relations into Recommender Systems

Stiller¹,

Roß²,

Ament³

2010

IJI

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Entwicklung und Erprobung einer Informationsplattform für Senioren zur individualisierten Informationsgewinnung und Wahrnehmung spezifischer Dienstleistungsangebote

Lutherdt¹,

Lienert²,

Stiller³

et al. 2012

AAL- Und E-Health-Geschäftsmodelle

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Visual preferences in map label placement

Scheuerman,

Harman,

Goldstein

et al. 2023

Discov Psychol

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Digital maps are important for many decision-making tasks that require situational awareness, navigation, or location-specific data. Often, digital mapping tools must generate a map that displays labels near associated features in a visually appealing manner, without occluding important information. Automated label placement systems generally accomplish this nontrivial task through a combination of heuristic algorithms and cartography rules, but the resulting maps often do not reflect the preferences and needs of the map user. To achieve higher quality map views, research is needed to identify cognitive and computational approaches for generating high-quality maps that meet user needs and expectations. In this paper, we present a study that explores the visual preferences of map users and supports the development of a preference model for digital map displays. In particular, we found that participants demonstrated consistent preferences for how labels are placed near their point of interest, and that they were more likely to choose positions that prioritized alignment over distance when ranking labels that made trade-offs between them.

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Towards spatial awareness in recommender systems

Cited by 6 publications

References 21 publications

Integration of Spatial User-Item Relations into Recommender Systems

Integration of Spatial User-Item Relations into Recommender Systems

Entwicklung und Erprobung einer Informationsplattform für Senioren zur individualisierten Informationsgewinnung und Wahrnehmung spezifischer Dienstleistungsangebote

Visual preferences in map label placement

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