PITT at TREC 2013 Contextual Suggestion Track
Ming Xin Jiang, Daqing He · Text REtrieval Conference · 2013
This paper reports the IRIS Lab@Pitt’s participation to 2013 TREC Contextual Suggestion track, which focuses on technology and issues related to location-based recommender systems (LBRSs). Besides the data provided by the track, our recommendation algorithms also retrieve information from Yelp for creating candidate, example and user profiles. Our algorithms uses linear regression model to combine multiple attributes of candidate profiles into the calculation, and performed 5-fold cross validation for training and testing on 2012 track data. The two runs we submitted this year both obtained reasonable good performance comparing with the median results of all runs.