Building and evaluating a location-based service recommendation system with a preference adjustment mechanism

Kuo, Mu-Hsing; Chen, Liang-Chu; Liang, Chien-Wen

doi:10.1016/j.eswa.2008.02.014

Cited by 83 publications

(49 citation statements)

References 11 publications

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“…A recommender system can provide a set of solutions that best fit the user, depending on different factors concerning the user, the objective or the context it is applied in. Such systems can reduce search efforts [49] and provide valuable information to assist consumers' decisionmaking process [65] in order to solve the problem of information overload [46]. According to Porcel and Herrera-Viedma [62], a recommender system could be seen as a decision support system (DSS).…”

Section: Which Stock Do You Choose?mentioning

confidence: 99%

SINVLIO: Using semantics and fuzzy logic to provide individual investment portfolio recommendations

García-Crespo

López-Cuadrado

González‐Carrasco

et al. 2012

Knowledge-Based Systems

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Section: Which Stock Do You Choose?mentioning

confidence: 99%

SINVLIO: Using semantics and fuzzy logic to provide individual investment portfolio recommendations

García-Crespo

López-Cuadrado

González‐Carrasco

et al. 2012

Knowledge-Based Systems

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“…Such recommendation systems have also been implemented in mobile devices. Examples of the systems include VISCORS 6 , MovieLens Unplugged 7 , local-based information systems 8 or the news 9 .…”

Section: Mobile Content Recommendationmentioning

confidence: 99%

A Framework for Integrated Mobile Content Recommendation

Paireekreng¹

2013

ijecs

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Content filtering in a mobile recommendation system plays a vital role in providing solution to help mobile device users obtain their desire content. However, mobile content recommendation systems have problems and limitations related to cold start and sparsity. These problems can be viewed as a user's first time connection to a mobile recommendation system and initial rating of the content in an early stage of the system. Hence, to obtain personalized content for mobile user, mobile content filtering is needed. This paper proposes a framework for integrated mobile content recommendation. The framework makes use of classification and adaptive association rule techniques to build an integrated model. The results demonstrate that the proposed framework outperforms related techniques. This can address the problem of sparsity for mobile content recommendation systems.

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“…Its functions in spatial database construction (Kim and Um, 1999), qualitative spatial reasoning (Frank, 1996;Sharma, 1996;Clementini et al, 1997;Mitra, 2002;Wolter and Lee, 2010;Mossakowski, 2012), spatial computation (Ligozat, 1998;Bansal, 2011) and spatial retrieval (Papadias and Theodoridis, 1997;Hudelot et al, 2008) have attracted researchers' interest. Direction relation has also been used in many practical fields (Zimmermann and Freksa, 1996;Kuo et al, 2009), such as combat operations (direction relation helps soldiers to identify, locate, and predict the location of enemies), driving (direction relation helps drivers to avoid other vehicles), and aircraft piloting (direction relation assists pilots to avoid terrain, other aircrafts and environmental obstacles).…”

Section: Introductionmentioning

confidence: 99%

An approach to computing direction relations between separated object groups

Yan

Wang

2013

Geosci. Model Dev.

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Abstract. Direction relations between object groups play an important role in qualitative spatial reasoning, spatial computation and spatial recognition. However, none of existing models can be used to compute direction relations between object groups. To fill this gap, an approach to computing direction relations between separated object groups is proposed in this paper, which is theoretically based on gestalt principles and the idea of multi-directions. The approach firstly triangulates the two object groups, and then it constructs the Voronoi diagram between the two groups using the triangular network. After this, the normal of each Voronoi edge is calculated, and the quantitative expression of the direction relations is constructed. Finally, the quantitative direction relations are transformed into qualitative ones. The psychological experiments show that the proposed approach can obtain direction relations both between two single objects and between two object groups, and the results are correct from the point of view of spatial cognition.

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Building and evaluating a location-based service recommendation system with a preference adjustment mechanism

Cited by 83 publications

References 11 publications

SINVLIO: Using semantics and fuzzy logic to provide individual investment portfolio recommendations

SINVLIO: Using semantics and fuzzy logic to provide individual investment portfolio recommendations

A Framework for Integrated Mobile Content Recommendation

An approach to computing direction relations between separated object groups

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