Abstract | ||
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This paper introduces a preliminary approach and evaluation for a social recommendation mechanism for location-based services (LBS). Many approaches for recommending location-based services do not take into account other factors than spatial ones. This paper focuses on social interactions and a focused ranking method to support social recommendations. The qualitative and quantitative evaluation at the end of the paper demonstrates, that users find social recommendations more useful than the conventional ones. |
Year | DOI | Venue |
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2012 | 10.1109/WI-IAT.2012.238 | Web Intelligence |
Keywords | Field | DocType |
location-based service,social recommendation mechanism,ranking method,social recommendation,social interaction,location-based services,preliminary approach,social recommendations,quantitative evaluation,social networks,point of interest | Services computing,World Wide Web,Social network,Ranking,Computer science,Location-based service,Point of interest,Social computing,Pound (mass) | Conference |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Andreas Emrich | 1 | 4 | 1.24 |
Alexandra Chapko | 2 | 14 | 4.74 |
dirk werth | 3 | 202 | 42.72 |
Peter Loos | 4 | 14 | 6.45 |