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Location-based services gained much popularity through providing users with helpful information with respect to their current location. As a recent trend, virtual location-based services consider webpages or sites associated as 'virtual locations' that online users can visit. The presence of links between virtual locations and the corresponding physical(More)
In the recent years, location based services (LBS) on mobile devices have become very popular. With the growing number of smartphone users, the demand for services that can provide recommendation of places based on user location and interest has increased rapidly. The performance of such LBS depends on a number of factors, including how well the places are(More)
Location based services and Geospatial web applications have become popular in recent years due to wide adoption of mobile devices. Search and recommendation of places or Points of Interests (PoIs) are prominent services available on them. The effectiveness of these services crucially depends on the availability of tags that are descriptive of places. The(More)
Large amount of time series data generated by sensors and Web users is great source of contextual information. Detecting outliers with unusually high values in time series data is crucial for inferring about any events in the real world. In this work, we describe an infinite Poisson mixture model to detect events by identifying outliers in time series of(More)
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