Recommending personalized touristic sights using Google Places
conference paper
The purpose of the Contextual Suggestion track, an evaluation task at the TREC 2012 conference, is to suggest personalized tourist activities to an individual, given a certain location and time. In our content-based approach, we collected initial recommendations using the location context as search query in Google Places. We first ranked the recommendations based on their textual similarity to the user profiles. In order to improve the ranking of popular sights, we combined the initial ranking with rankings based on Google Search, popularity and categories. Finally, we performed filtering based on the temporal context. Overall, our system performed well above average and median, and outperformed the baseline - Google Places only - run. Copyright © 2013 ACM.
TNO Identifier
478833
Source title
36th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2013, 28 July - 1 August 2013, Dublin, Ireland
Pages
781-784
Files
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