Richard Schaller

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When search behaviour is studied in information retrieval it is nearly always studied with respect to work tasks. Recent research, however, has indicated that search tasks people perform in leisure situations can be quite different. In leisure contexts needs tend to be more hedonistic in nature and often don't require specific information to be found.(More)
Distributed events are collections of single events taking place within a small geographical area at approximately the same time, normally related to one given topic e.g. music, film, arts etc. There are usually a large number of events on offer and the times in which they can be visited are heavily constrained. Therefore the information seeking task of(More)
Distributed events are collections of events taking place within a small area over the same time period and relating to a single topic. There are often a large number of events on offer and the times in which they can be visited are heavily constrained, therefore the task of choosing events to visit and in which order can be very difficult. In this work we(More)
In geographic search tasks, where the location of the user is an important part of the task context, knowing whether or not a user has visited a location associated with a returned result could be a useful indicator of system performance. In this paper we derive and evaluate a model to estimate, based on user interaction logs, GPS information and event(More)
Festivals held in a city (or number of cities) contain many geographically distributed events often occurring contemporaneously. Visitors to the festival need to make numerous cognitively-challenging decisions about which events to see, and in which order. Consequently, the visitors' information interactions with online and mobile guides are likely to(More)
Providing navigation assistance to users is a complex task generally consisting of two phases: planning a tour (phase one) and supporting the user during the tour (phase two). In the first phase, users interface to databases via constrained or natural language interaction to acquire prior knowledge such as bus schedules etc. In the second phase, often(More)
We present a mobile tourist guide for planning and conducting sightseeing day trips. Users are provided different means to access and select the available sights, events and other points of interest (POIs): Via a hybrid recommender system, via browsing by sight category, via searching over descriptions of POIs or via browsing on a map. Based on user's(More)
Itinerary recommenders provide tourists with personalized routes connecting several Points of Interest (POIs). Therefore transit times and users' preferences have to be considered to generate optimal plans. Nevertheless users might appreciate routes being customised to their liking, e.g. based on further contextual factors the system does not know of.(More)