Article Recommendation based on Latent Place Topic
Yunseok Noh, Jeong-Woo Son, Tae-Gil Noh, Seong-Bae Park, Se‐Young Park, Sang-Jo Lee · Jeongbo gwahaghoe nonmunji. so'peuteuweeo mich eung'yong · 2012
With the popularity of smart phones, services that provide contents using GPS have been increasing. However if these contents would cons ist only of geographical information like latitude, longitude coordinates, it couldn't catch the meanings of places. To provide the service based on and properly utilizing user location, topics of the places should be considered. This paper studies the problem of recommending articles based on latent topics of a place, which topics are found out from the name of the place where a user is located by a search engine and topic modeling. We compared our proposed method and another two baselines over 29 different places. Our proposed method outperforms the baseline using a well-known query expansion method about 18% in NDCG evaluation measure. In addition, the proposed method is able to show topics associated with a place to words explicitly. And we have shown by qualitative analysis that a discovered topic reflects the true latent place topic well.