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Halaman ini berisi hasil download jurnal, paper, artikel, tulisan lepas, white papers,dan sejenis yang bermanfaat untuk keperluan riset saya dan mahasiswa bimbinganpada bidang Information Retrieval.

Text Summarization

- Anjali R. Deshpande, Lobo L. M. R. J. 2013. Text Summarization usingClustering Technique. International Journal of Engineering Trends andTechnology (IJETT) - Vol.4 Issue 8 - August 2013. PDF

- Aristoteles, Yeni Herdiyeni, Ahmad Ridha and Julio Adisantoso. 2012. TextFeature Weighting for Summarization of Documents in BahasaIndonesia Using Genetic Algorithm. JCSI International Journal of ComputerScience Issues, Vol. 9, Issue 3, No 1, May 2012. PDF

- Mohamed Abdel Fattah, and Fuji Ren. 2008. Automatic Text Summarization. World Academy of Science, Engineering and Technology 37 2008. PDF

- Gregorius S. Budhi, Rolly Intan, Silvia R., and Stevanus R. R. IndonesianAutomated Text Summarization. Petra Christian University, InformaticsEngineering Dept. PDF

- Hongyan Jing. Sentence Reduction for Automatic Text Summarization.Department of Computer Science, Columbia University. PDF

- Hongyan Jing and Kathleen R. McKeown. Cut and Paste Based TextSummarization. Department of Computer Science, Columbia University. PDF

Question Answering System

- Lisa A. Ballesteros and Xiaoyan Li. 2007. Heuristic and Syntactic Scoringfor Cross-language Question Answering. Proceedings of NTCIR-6Workshop Meeting, May 15-18, 2007, Tokyo, Japan. PDF

- Jim Cowie, Evgeny Ludovik, Hugo Molina-Salgado, Sergei Nirenburg & SvetlanaScheremetyeva. Automatic Question Answering. Computing ResearchLaboratory, NMSU, Dept 3CRL, Box 30001, Las Cruces, NM 88003, USA. PDF

- Christof Monz. Document Retrieval in the Context of QuestionAnswering. Language & Inference Technology, University of Amsterdam,Nieuwe Achtergracht 166, 1018 WV Amsterdam, The Netherlands. PDF

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http://julio.staff.ipb.ac.id/files/2011/12/IJETT-V4I8P120.pdfhttp://julio.staff.ipb.ac.id/files/2011/12/IJCSI-9-3-1-1-6.pdfhttp://julio.staff.ipb.ac.id/files/2011/12/01-v37-33.pdfhttp://julio.staff.ipb.ac.id/files/2011/12/IndonesianText-Summarization.pdfhttp://julio.staff.ipb.ac.id/files/2011/12/A00-1043-text-summarization.pdfhttp://julio.staff.ipb.ac.id/files/2011/12/A00-2024-text-summarization.pdfhttp://julio.staff.ipb.ac.id/files/2011/12/01-73.pdfhttp://julio.staff.ipb.ac.id/files/2011/12/AutomaticQA2000.pdfhttp://julio.staff.ipb.ac.id/files/2011/12/ecir03.pdf


Text Classification and Clustering

- Xiaohua Zhou, Xiaodan Zhang, Xiaohua Hu. Semantic Smoothing forBayesian Text Classification with Small Training Data. PDF

- Hassan Saif, Yulan He and Harith Alani. Semantic Smoothing for TwitterSentiment Analysis. PDF

- Xiaohua Zhou, Xiaodan Zhang, Xiaohua Hu. Semantic Smoothing forBayesian Text Classification with Small Training Data. College ofInformation Science & Technology, Drexel University. PDF

- Michael Steinbach, George Karypis, Vipin Kumar. A Comparison ofDocument Clustering Techniques. Department of Computer Science andEgineering, University of Minnesota. Technical Report #00-034. PDF

- Mayank Prakash Jaiswal, and H. Chris Tseng. Clustering Blog Information. PDF

- Matjaž Juršic, Nada Lavrac. Fuzzy Clustering of Documents. Department ofKnowledge Discovery, Jozef Stefan Institute. PDF

- Paolo Rosso, Edgardo Ferretti, Daniel Jiménez, and Vicente Vidal. TextCategorization and Information Retrieval Using WordNet Senses. Dept.of Computer Systems and Computation, Polytechnic University of Valencia,Spain. PDF

- Qiong Jackson and David Landgrebe. 2001. An Adaptive Classifier Designfor High-Dimensional Data Analysis with a Limited Training Data Set.School of Electrical & Computer Engineering, Purdue University. PDF

- Ron Bekkerman and James Allan. 2003. Using Bigrams in TextCategorization. Department of Computer Science, University ofMassachusetts, Amherst, 01003 USA. PDF

Query Expansion and Relevance Feedback

- Djoerd Hiemstra and Stephen Robertson. Relevance Feedback for BestMatch Term Weighting Algorithms in Information Retrieval. PDF

- Bin Tan, Atulya Velivelli, Hui Fang, and ChengXiang Zhai. Term Feedback forInformation Retrieval with Language Models. Dept. of ComputerScience†, Dept. of Electrical and Computer Engineering, University of Illinois atUrbana-Champaign. PDF

- Shuguang Wang and Milos Hauskrecht. Effective Query Expansion with theResistance Distance Based Term Similarity Metric. PDF

- Hazra Imran and Aditi Sharan. 2009. Thesaurus and Query Expansion.International Journal of Computer science & Information Technology (IJCSIT),Vol 1, No 2, November 2009. PDF

- Jinxi Xu and W. Bruce Croft. Query Expansion Using Local and Global

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http://julio.staff.ipb.ac.id/files/2011/12/01-dm08_26_Zhou.pdfhttp://julio.staff.ipb.ac.id/files/2011/12/semantic-smoothing-for-tweets.pdfhttp://julio.staff.ipb.ac.id/files/2011/12/semantic-smoothing.pdfhttp://julio.staff.ipb.ac.id/files/2011/12/01-docclusterKDDTMW00.pdfhttp://julio.staff.ipb.ac.id/files/2011/12/clustering-blog.pdfhttp://julio.staff.ipb.ac.id/files/2011/12/FCM-for-document.pdfhttp://julio.staff.ipb.ac.id/files/2011/12/110-categorization.pdfhttp://julio.staff.ipb.ac.id/files/2011/12/adaptive-classifier.pdfhttp://julio.staff.ipb.ac.id/files/2011/12/bigrams.pdfhttp://julio.staff.ipb.ac.id/files/2011/12/01-hiemstra.pdfhttp://julio.staff.ipb.ac.id/files/2011/12/PRF-Term-feedback.pdfhttp://julio.staff.ipb.ac.id/files/2011/12/QE-distance.pdfhttp://julio.staff.ipb.ac.id/files/2011/12/QE-thesaurus.pdf


Document Analysis. PDF- Jaime Arguello, Jonathan L. Elsas, Changkuk Yoo, Jamie Callan, Jaime G.

Carbonell. Document and Query Expansion Models for Blog Distillation.Language Technologies Institute, School of Computer Science, Carnegie MellonUniversity Pittsburgh, PA, 15213. PDF

XML Retrieval

- Charles L. A. Clarke. Controlling Overlap in Content Oriented XMLRetrieval. School of Computer Science, University of Waterloo, Canada. PDF

- Ing. Stefania Marrara. XML Retrieval: state of the art and new challenges. Parzialmente tratto da "Advances in XML retrieval: The INEX Initiative" diNorbert Fuhr. PPTPDF

IR Method

- Sandor Dominich. PageRank: Quantitative Model of InteractionInformation Retrieval. Department of Computer Science, University ofVeszprém 8200 Veszprém, Egyetem u. 10, Hungary. PDF

- Michael L. Littman, Susan T. Dumais, and Thomas K. Landauer. 1996. Automatic Cross-Language Information Retrieval using LatentSemantic Indexing. PDF

- RAYMOND Y.K. LAU, PETER D. BRUZA, and DAWEI SONG. Towards a BeliefRevision Based Adaptive and Context Sensitive Information RetrievalSystem. PDF

- Horacio Arlo-Costa. 1998. Belief Revision Conditionals: Basic IteratedSystems. Carnegie Mellon University. PDF

- David E. Losada and Alvaro Barreiro. Using a Belief Revision Operator forDocument Ranking in Extended Boolean Models. Dept. ComputerScience, University of A Corunna. PDF

- Sebastian Marius Kirsch. 2004. Similarity Thesauri and Cross-LanguageRetrieval. PDF

- Rifat Ozcan, Y. Alp Aslandogan. 2004. Concept Based Information AccessUsing Ontologies and Latent Semantic Analysis. Technical ReportCSE-2004-8. PDF

- Tian Xia, and Yanmei Chai. 2011. An Improvement to TF-IDF: TermDistribution based Term Weight Algorithm. Shanghai Second PolytechnicUniversity, Shanghai, China. JOURNAL OF SOFTWARE, VOL. 6, NO. 3, MARCH2011. PDF

- W. Aisha Banu, P. Sheik Abdul Khader, and R. Shriram. 2011. Information

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http://julio.staff.ipb.ac.id/files/2011/12/qe-xu-croft.pdfhttp://julio.staff.ipb.ac.id/files/2011/12/cmu.blog_.rev_.pdfhttp://julio.staff.ipb.ac.id/files/2011/12/xml-overlap-algorithm.pdfhttp://julio.staff.ipb.ac.id/files/2011/12/xml-retrieval-overlap.pdfhttp://julio.staff.ipb.ac.id/files/2011/12/01-Dominich.pdfhttp://julio.staff.ipb.ac.id/files/2011/12/01-XLANG96.pdfhttp://julio.staff.ipb.ac.id/files/2011/12/7-Lau-bruza-song-TOIS-2008-V11.pdfhttp://julio.staff.ipb.ac.id/files/2011/12/belief-revision-theory1.pdfhttp://julio.staff.ipb.ac.id/files/2011/12/BR.pdfhttp://julio.staff.ipb.ac.id/files/2011/12/clir-thesaurus.pdfhttp://julio.staff.ipb.ac.id/files/2011/12/CSE-2004-8.pdfhttp://julio.staff.ipb.ac.id/files/2011/12/idf-improvement.pdf


Retrieval through Mobile Device using Semantic Ontology. InformationTechnology Journal 10(9): 1747-1753, 2011. PDF

- Preslav Nakov. Getting Better Results With Latent Semantic Indexing.Department of Mathematics and Informatics{So¯a University, and RilaSolutions, Bulgaria. PDF

- Ph. Mylonas, D. Vallet, P. Castells, M. Fern´andez, and Y. Avrithis. 2004. Personalized information retrieval based on context and ontologicalknowledge. The Knowledge Engineering Review, Vol. 00:0, 1–24. Copyright2004, Cambridge University Press. PDF

- Nikolaos Nanas, Victoria Uren, and Anne De Roeck. A Comparative Study ofTerm Weighting Methods for Information Filtering. PDF

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http://julio.staff.ipb.ac.id/files/2011/12/mobile-ontologi.pdfhttp://julio.staff.ipb.ac.id/files/2011/12/nakov_esslli00.pdfhttp://julio.staff.ipb.ac.id/files/2011/12/ontologi-knowledge.pdfhttp://julio.staff.ipb.ac.id/files/2011/12/term-weighting.pdf