%Aigaion2 BibTeX export from Idiap Publications
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@INPROCEEDINGS{Pappas_SIGIR_2013,
         author = {Pappas, Nikolaos and Popescu-Belis, Andrei},
       projects = {Idiap, InEvent},
          title = {Sentiment Analysis of User Comments for One-Class Collaborative Filtering over TED Talks},
      booktitle = {36th ACM SIGIR Conference on Research and Development in Information Retrieval},
           year = {2013},
      publisher = {ACM},
       location = {Dublin, Ireland},
       abstract = {User-generated texts such as reviews, comments or discussions are valuable indicators of users’ preferences. Unlike previous works which focus on labeled data from user-contributed reviews, we focus here on user comments which are not accompanied by pre-defined rating labels. We investigate their role in a one-class collaborative filtering task such as bookmarking, where only the user action is given as ground-truth. We propose a sentiment-aware nearest neighbor model (SANN) for multimedia recommendations over TED talks, which makes use of user comments. The model outperforms significantly (by more than 25\% on unseen data) several competitive baselines.},
            pdf = {https://publications.idiap.ch/attachments/papers/2013/Pappas_SIGIR_2013.pdf}
}