PARIS

Personalised AdveRtisements buIlt from web Sources

Aims

User generated content, e.g., available through social networking sites on the World Wide Web, offers a wealth of information. The aim of PARIS is to study adequate natural language, image and video understanding techniques to make use of this information. This is challenging as user generated content is often present in language that is not well-formed or in visual material that is not professionally captured. An important application of PARIS when evaluating the natural language, image and video understanding techniques is personalized advertising, where advertisements are searched and generated that fit the world of living of users. This personalization should remain in line with legal requirements concerning personal data protection and intellectual property rights.

PARIS aims here at the smooth integration of content, advertisements and users by means of novel information and communication technology. However, many other applications of the PARIS technologies are possible, for instance, aimed at mining societal trends and their impact.

LIIR is involved in the natural language processing research, the cross-media mining of user generated content and in retrieval models for advertisement retrieval.

Partners

LIIR coordinates the PARIS project. The other partners are: KU Leuven ESAT-Visics (Prof. Luc Van Gool, Prof. Tinne Tuytelaars), KU Leuven HCI (Prof. Erik Duval), the Computational Web Intelligence group of Ghent University (Prof. Martine De Cock), the Language and Translation Technology Team of HoGent (Prof. Veronique Hoste), the International and European Legal Studies Programme of the University of Antwerp (Prof. Patrick Van Eecke) and the Vlerick Leuven Gent Management School (Prof. Steve Muylle).

Results

An edited book entitled Mining User Generated Content is published in 2014 by CRC Press (Tailor & Francis Group).

We have obtained interesting results with regard to the recognition of age, gender and personality of users of social media and have built novel probabilistic topic models for linking user generated content to relevant webshops that bridge between the different language expressions in online product reviews and product descriptions. We have investigated probabilistic and neural network based representations (deep learning) that integrate textual and visual data in the frame of fashion search and e-commerce. A demo of our work can be found here.

The project currently receives a large interest from the Flemish and international industry. A workshop with the Flemish industry was held on September 22, 2014 at the Vlerick Leuven Gent Management School, Belgium at their Gent campus. The project has been successfully presented at the EMAC - European Marketing Academy 44th Annual Conference in Leuven, Belgium from May 26 to May 29, 2015. On May 10, 2016 the results of the project were presented at a concluding PARIS workshop in Leuven.



Period From 2012-05-01 to 2016-04-30.
Financed by IWT-SBO-Nr. 110067
Supervised by Marie-Francine Moens
Staff Golnoosh Farnadi
Juan Carlos Gomez
Geert Heyman
Niraj Shrestha
Ivan Vulic
Contact Marie-Francine Moens

More information can be found on the project website http://www.parisproject.be/

Publications

  1. DE SMET, Wim & MOENS, Marie-Francine Representations for Multi-Document Event Clustering. Data Mining and Knowledge Discovery, 26(3): 533-558. 2013
  2. KOLOMIYETS, Oleksandr & MOENS, Marie-Francine MotionML: Motion Markup Language: Shallow Approach for Annotating Motions in Text. In Proceedings of Corpus Linguistics. 2013
  3. FARNADI, Golnoosh, ZOGHBI, Susana, MOENS, Marie-Francine & DE COCK Martine Crawling a Ground Truth Dataset for Ad Personalization. In Abstracts of LTCI2012 (5th AUGent Workshop on Language Technology and Computational Intelligence), p.7. 2012
  4. FARNADI, Golnoosh, ZOGHBI, Susana, MOENS, Marie-Francine & DE COCK Martine Recognising Personality Traits using Facebook Status Updates. In Proceedings of WCPR13, Workshop on Computational Personality Recognition at ICWSM13 (7th International AAAI Conference on Weblogs and Social Media). AAAI. 2013
  5. ZOGHBI, Susana, VULIC, Ivan & MOENS, Marie-Francine Are Words Enough? A Study on Text-Based Representations and Retrieval Models for Linking Pins to Online Shops. In Proceedings of the CIKM 2013 International Workshop on Mining Unstructured Big Data using Natural Language Processing (MNLP 2013). ACM. 2013
  6. ZOGHBI, Susana, VULIC, Ivan & MOENS, Marie-Francine I Pinned It. Where Can I Buy One Like It? Automatically Linking Pinterest Pins to Online Webshops. In Proceedings of the 2013 CIKM Workshop on Data-driven User Behavioral Modelling and Mining from Social Media (DUBMOD 2013). ACM. 2013
  7. MOENS, Marie-Francine, Li, Juanzi & CHUA, Tat-Seng (Eds.) Mining User Generated Content. CRC Press - Francis & Tailor Group. 474 p. 2014
  8. VULIC, Ivan, ZOGHBI, Susana & MOENS, Marie-Francine Learning to Bridge Colloquial and Formal Language Applied to Linking and Search of E-Commerce Data. In Proceedings of the 37th Annual ACM SIGIR Conference on Research and Development in Information Retrieval. ACM. 2014
  9. FARNADI, Golnoosh, SITARAMAN, Geetha, ROHANI, Mehrdad, KOSINSKI, Michal, STILLWELL, David, MOENS, Marie-Francine, DAVALOS, Sergio & DE COCK, Martine How are you Doing? Study of Emotion Expression from Facebook Status Updates with Users' Age, Gender, Personality and Time. In Proceedings of the EMPIRE Workshop of the 22nd International Conference on User Modeling, Adaptation and Personalization (UMAP 2014). 2014
  10. FARNADI, Golnoosh, BACH, Stephan, MOENS, Marie-Francine, GETOOR, Lise & DE COCK, Martine. Extending PSL with Fuzzy Quantifiers. In Proceedings of StarAI 2014: Fourth International Workshop on Statistical Relational AI at AAAI 2014. 2014
  11. MARQUARDT, James, FARNADI, Golnoosh, VASUDEVAN, Gayathri, MOENS, Marie-Francine, DAVALOS, Sergio, TEREDESAI, Ankur & DE COCK, Martine Age and Gender Identification in Social Media. In Proceedings of CLEF 2014. 2014
  12. MOENS, Marie-Francine Argumentation Mining: Where are we now, where do we want to be and how do we get there? In Post-proceedings of the Forum for Information Retrieval Evaluation (FIRE 2013) (keynote lecture). ACM. 2015
  13. SHRESTHA, Niraj, VULIC, Ivan and MOENS, Marie-Francine Semantic Role Labeling of Speech Transcripts. In Proceedings of CICLING 2015, the 16th International Conference on Intelligent Text Processing and Computational Linguistics (Lecture Notes in Computer Science). Springer. 2015
  14. KARAN, Mladen, GLAVAS, Goran, SNAJDER, Jan, BASIC, Bojana Dalbelo, VULIC, Ivan & MOENS, Marie-Francine TKLBLIIR: Detecting Twitter Paraphrases with TweetingJay. In Proceedings of the International Workshop on Semantic Evaluation (SemEval 2015). 2015
  15. FARNADI, Golnoosh, BACH, Stephen H., BLONDEEL, Marjon, MOENS, Marie-Francine, DE COCK, M. & GETOOR, Lise Statistical Relational Learning with Soft Quantifiers. In Proceedings of the 25th International Conference on Inductive Logic Programming (Lecture Notes in Computer Science). Springer. 2015
  16. KIELA, Douwe, RIMELL, Laura, VULIC, Ivan, CLARK, Stephen (2015). Exploiting image generality for lexical entailment detection. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL 2015). East Stroudsburg, PA: ACL. 2015
  17. CINAR, Yagmur Gizem, ZOGHBI, Susana & MOENS, Marie-Francine (2015). Inferring User Interests on Social Media From Text and Images. In Proceedings of SoMeRA 2015: 2nd International Workshop on Social Media Retrieval and Analysis at ICDM 2015. 2015
  18. FARNADI, Golnoosh, MAHDAVIFAR, Zeinab, KELLER, Ivan, NELSON, Jacob, TEREDESAI, Ankur, MOENS, Marie-Francine & DE COCK, Martine Scalable Adaptive Label Propagation in Grappa. In Proceedings of the IEEE Big Data 2015 Conference. IEEE. 2015
  19. ZOGHBIi, Susana, HEYMAN, Geert, GOMEZ, Juan-Carlos & MOENS, Marie-Francine Fashion Meets Computer Vision and NLP at e-Commerce Search. In Proceedings of the 7th International Conference on Information and Multimedia Technology. 2015
  20. ZOGHBI, Susana, HEYMAN, Geert, GOMEZ, Juan-Carlos & MOENS, Marie-Francine Cross-modal Fashion Search. In Proceedings of the 22nd International Conference on MultiMedia Modelling (Lecture Notes in Computer Science 9517) (pp. 367-373). 2016
  21. FARNADI, G., SITARAMAN, G., SUSHMITA, S., CELLI, F., KOSINSKI, M., STILLWELLl, D., DAVALOS, S., MOENS, M.-F. & DE COCK, M. Computational Personality Recognition in Social Media. Journal of Personalization, 1-34 (http://link.springer.com/article/10.1007/s11257-016-9171-0?wt_mc=internal.event.1.SEM.ArticleAuthorOnlineFirst) 2016
  22. SHRESTHA, Niraj & MOENS, Marie-Francine Semi-automatically Alignment of Predicates between Speech and OntoNotes Data. In Proceedings of LREC. 2016
  23. ZOGHBI, Susana, HEYMAN, Geert, GOMEZ, Juan-Carlos & MOENS, Marie-Francine Fashion Meets Computer Vision and NLP and E-Commerce Search. International Journal of Computer and Electrical Engineering . 2016
  24. ZOGHBI, Susana, VULIC, Ivan & MOENS, Marie-Francine Latent Dirichlet Allocation for Linking User-Generated Content and E-Commerce Data. Information Sciences (accepted). 2016
  25. FARNADI, Golnoosh, BACH, Stephen H., MOENS, Marie-Francine, GETOOR, Lise & DE COCK, Martine Soft Quantification in Statistical Relational Learning. Machine Learning. 2017


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