Authors' Work 

 

• Gilad Katz and Bracha Shapira, Enabling Complex Wikipedia Queries. Techincal Report. 2015.

• Gilad Katz, Nir Ofek, Bracha Shapira, Lior Rokach, and Guy Shani. 2011. Using Wikipedia to boost collaborative filtering techniques. In Proceedings of the fifth ACM conference on Recommender systems (RecSys '11). ACM, New York, NY, USA, 285-288. 

• Gilad Katz, Anna Shtock, Oren Kurland, Bracha Shapira, and Lior Rokach. 2014. Wikipedia-based query performance prediction. In Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval (SIGIR '14). ACM, New York, NY, USA, 1235-1238. 

• Veronica Maidel, Peretz Shoval, Bracha Shapira, Meirav Taieb‐Maimon. Ontological content‐based filtering for personalised newspapers

  Online Information Review 2010 34:5 , 729-756

• Nir Ofek and Lior Rokach.  A classifier to determine which Wikipedia biographies will be accepted. Journal of the Accosiation for Information Science and Technology. Volume 66, Issue 1, pages 213-218.  January 2015.

• Arazy, Ofer; Kumar, Nanda; and Shapira, Bracha (2010) .A Theory-Driven Design Framework for Social Recommender Systems, Journal of the Association for Information Systems: Vol. 11: Iss. 9, Article 2. 

 

Information Retrieval Domain

 

• Hugo Zaragoza, Henning Rode, Peter Mika, Jordi Atserias, Massimiliano Ciaramita, and Giuseppe Attardi. 2007. Ranking very many typed entities on wikipedia. In Proceedings of the sixteenth ACM conference on Conference on information and knowledge management (CIKM '07).

• Gilad Katz, Anna Shtock, Oren Kurland, Bracha Shapira, and Lior Rokach. 2014. Wikipedia-based query performance prediction. In Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval (SIGIR '14). ACM, New York, NY, USA, 1235-1238. 

• Evgeniy Gabrilovich and Shaul Markovitch. 2009. Wikipedia-based semantic interpretation for natural language processing. J. Artif. Int. Res. 34, 1 (March 2009), 443-498.

• Maisa Vidal, Guilherme V. Menezes, Klessius Berlt, Edleno S. de Moura, Karla Okada, Nivio Ziviani, David Fernandes, and Marco Cristo. 2012. Selecting keywords to represent web pages using Wikipedia information. In Proceedings of the 18th Brazilian symposium on Multimedia and the web (WebMedia '12). ACM, New York, NY, USA, 375-382.

• Bashar Al-Shboul and Sung-Hyon Myaeng. 2011. Query phrase expansion using wikipedia in patent class search. In Proceedings of the 7th Asia conference on Information Retrieval Technology (AIRS'11), Mohamed Mohamed Salem, Khaled Shaalan, Farhad Oroumchian, Azadeh Shakery, and Halim Khelalfa (Eds.). Springer-Verlag, Berlin, Heidelberg, 115-126. 

• Yinghao Li, Wing Pong Robert Luk, Kei Shiu Edward Ho, and Fu Lai Korris Chung. 2007. Improving weak ad-hoc queries using wikipedia as external corpus. In Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR '07). ACM, New York, NY, USA, 797-798.

• Hadas Raviv, David Carmel, and Oren Kurland. 2012. A ranking framework for entity oriented search using Markov random fields. In Proceedings of the 1st Joint International Workshop on Entity-Oriented and Semantic Search (JIWES '12). ACM, New York, NY, USA, , Article 1 , 6 pages. 

• Hadas Raviv, Oren Kurland, and David Carmel. 2013. The cluster hypothesis for entity oriented search. In Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval (SIGIR '13). ACM, New York, NY, USA, 841-844. 

• Ben Hachey, Will Radford, Joel Nothman, Matthew Honnibal, and James R. Curran. 2013. Evaluating Entity Linking with Wikipedia. Artif. Intell. 194 (January 2013), 130-150. 

• David N. Milne, Ian H. Witten, and David M. Nichols. 2007. A knowledge-based search engine powered by wikipedia.  In Proceedings of the sixteenth ACM conference on Conference on information and knowledge management (CIKM '07).

• Edgar Meij, Marc Bron, Laura Hollink, Bouke Huurnink, and Maarten Rijke. 2009. Learning Semantic Query Suggestions. In Proceedings of the 8th International Semantic Web Conference(ISWC '09), Abraham Bernstein, David R. Karger, Tom Heath, Lee Feigenbaum, Diana Maynard, Enrico Motta, and Krishnaprasad Thirunarayan (Eds.). Springer-Verlag, Berlin, Heidelberg

• Chih-Chuan Hsu, Yu-Te Li, You-Wei Chen and Shih-Hung W. Query Expansion via Link Analysis of Wikipedia for CLIR . (2008)

• D. Nguyen, A.Overwijk, C.Hauff, R.B. Trieschnigg, D. Hiemstra, F.M.G. de Jong, WikiTranslate: Query Translation for Cross-lingual Information Retrieval using only Wikipedia, LNCS - CLEF 2008

• Hachey, B., W. Radford, J. Nothman, M. Honnibal and J. R. Curran (2013). Evaluating entity linking with Wikipedia.

 

Recommender Systems Domain

 

• Gilad Katz, Nir Ofek, Bracha Shapira, Lior Rokach, and Guy Shani. 2011. Using Wikipedia to boost collaborative filtering techniques. In Proceedings of the fifth ACM conference on Recommender systems (RecSys '11). ACM, New York, NY, USA, 285-288. 

• Zongda Wu, Guandong Xu, Rong Pan, Yanchun Zhang, Zhiwen Hu, and Jianfeng Lu. 2011. Leveraging Wikipedia concept and category information to enhance contextual advertising. InProceedings of the 20th ACM international conference on Information and knowledge management (CIKM '11), Bettina Berendt, Arjen de Vries, Wenfei Fan, Craig Macdonald, Iadh Ounis, and Ian Ruthven (Eds.). ACM, New York, NY, USA, 2105-2108. 

• Weinan Zhang, Dingquan Wang, Gui-Rong Xue, and Hongyuan Zha. 2012. Advertising Keywords Recommendation for Short-Text Web Pages Using Wikipedia. ACM Trans. Intell. Syst. Technol. 3, 2, Article 36 (February 2012), 25 pages.

• V. Subramaniyaswamy, S. Chenthur Pandian. Effective Tag Recommendation System Based on Topic Ontology Using Wikipedia and WordNet. Int. J. Intell. Syst. 27(12): 1034-1048 (2012)

• Alexander Pak. Using Wikipedia to Improve Precision of Contextual Advertising. Human Language Technology. Challenges for Computer Science and Linguistics. Lecture Notes in Computer Science Volume 6562, 2011, pp 533-543

• C. Lu, W. Lam, and Y. Zhang. Twitter User Modeling and Tweets Recommendation Based on Wikipedia Concept Graph. Workshops at the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012.

• L. Zhang, C. Li, J. Liu, and H. Wang, Graph-based text similarity measurement by exploiting wikipedia as background knowledge.  World Academy of Science, Engineering and Technology, vol. 59, pp. 1548–1553, 2011.

 

 

Sentiment Analysis

 

• Mukherjee & Bhattacharyya (2012). Wikisent: Weakly supervised sentiment analysis through extractive summarization with wikipedia. In Machine Learning and Knowledge Discovery in Databases (pp. 774-793). Springer Berlin Heidelberg.

• Torunoglu, D., Telseren, G., Sagturk, O., & Ganiz, M. C. (2013, June). Wikipedia based semantic smoothing for twitter sentiment classification. In Innovations in Intelligent Systems and Applications (INISTA), 2013 IEEE International Symposium on (pp. 1-5). IEEE.

• Fahrni, A., & Klenner, M. (2008, April). Old wine or warm beer: Target-specific sentiment analysis of adjectives. In Proc. of the Symposium on Affective Language in Human and Machine, AISB (pp. 60-63).

• Chesley, P., Vincent, B., Xu, L., & Srihari, R. K. (2006). Using verbs and adjectives to automatically classify blog sentiment. Training, 580(263), 233.

• Mihalcea, R. (2007, April). Using Wikipedia for Automatic Word Sense Disambiguation. In HLT-NAACL (pp. 196-203).

• Gabrilovich, E., & Markovitch, S. (2007, January). Computing Semantic Relatedness Using Wikipedia-based Explicit Semantic Analysis. In IJCAI (Vol. 7, pp. 1606-1611).

• Kovelamudi, S., Ramalingam, S., Sood, A., & Varma, V. (2011). Domain Independent Model for Product Attribute Extraction from User Reviews using Wikipedia. In IJCNLP (pp. 1408-1412).

• Ofek, N., Poria, S., Rokach, L., Cambria, E., Hassan, A., Shabtai, A. "Unsupervised Common-Sense Knowledge Enrichment for Domain-Specific Sentiment Analysis". Cognitive Computation, Springer