Learning Users Interests for Providing Relevant Information

7 INTRODUCTION 8 RELATED WORK 12 INTRODUCTION 12 USER PROFILING 12 RINGO” 13 Soltysaik and Crabtree 13 Letizia” 15 Syskill Webert” 16 News Dude” 18 Personal WebWatcher” 20 ELFI” 22 Conclusion 25 DOCUMENT CLUSTERING 26 Clustering Algorithms 26 Examples of Clustering Algorithms Failing 28 Suffix Tree Clustering 33 COMPLEXITY 43 INCREMENTAL STC 44 SYSTEM DESIGN 46 INTRODUCTION 46 DATA COLLECTING MODULE 47 USER PROFILING MODULE 48 Removing Old Documents 48 Document Indexing and Maping 49 Word Stemming and Maping 51 Inserting Documents into the Suffix Tree 54 Phrase Clustering 54 Phrase Clusters Merging 55 User Profile 58 SEARCH MODULE 60

[1]  Oren Etzioni,et al.  Clustering web documents: a phrase-based method for grouping search engine results , 1999 .

[2]  Pattie Maes,et al.  Collaborative Interface Agents , 1994, AAAI.

[3]  Michael J. Pazzani,et al.  Syskill & Webert: Identifying Interesting Web Sites , 1996, AAAI/IAAI, Vol. 1.

[4]  Liliana Ardissono,et al.  An adaptive system for the personalized access to news , 2001, AI Commun..

[5]  James Kelly,et al.  AutoClass: A Bayesian Classification System , 1993, ML.

[6]  G. Kane Parallel Distributed Processing: Explorations in the Microstructure of Cognition, vol 1: Foundations, vol 2: Psychological and Biological Models , 1994 .

[7]  Michael J. Pazzani,et al.  A hybrid user model for news story classification , 1999 .

[8]  David A. Hull Stemming algorithms: a case study for detailed evaluation , 1996 .

[9]  Jan O. Pedersen,et al.  Optimization for dynamic inverted index maintenance , 1989, SIGIR '90.

[10]  Sudipto Guha,et al.  CURE: an efficient clustering algorithm for large databases , 1998, SIGMOD '98.

[11]  John Riedl,et al.  GroupLens: an open architecture for collaborative filtering of netnews , 1994, CSCW '94.

[12]  I. Barry Crabtree,et al.  Identifying and tracking changing interests , 1998, International Journal on Digital Libraries.

[13]  David R. Karger,et al.  Constant interaction-time scatter/gather browsing of very large document collections , 1993, SIGIR.

[14]  David G. Buckman Louisiana , 1896, The Journal of comparative medicine and veterinary archives.

[15]  Peter C. Cheeseman,et al.  Bayesian Classification (AutoClass): Theory and Results , 1996, Advances in Knowledge Discovery and Data Mining.

[16]  Henry Lieberman,et al.  Letizia: An Agent That Assists Web Browsing , 1995, IJCAI.

[17]  Beerud Dilip Sheth,et al.  A learning approach to personalized information filtering , 1994 .

[18]  Hugh C. Davis,et al.  Agents for Distributed Multimedia Information Management , 1996 .

[19]  Jan O. Pedersen,et al.  Almost-constant-time clustering of arbitrary corpus subsets4 , 1997, SIGIR '97.

[20]  Geoffrey E. Hinton,et al.  Learning internal representations by error propagation , 1986 .

[21]  Thorsten Joachims,et al.  WebWatcher : A Learning Apprentice for the World Wide Web , 1995 .

[22]  Gerard Salton,et al.  Term-Weighting Approaches in Automatic Text Retrieval , 1988, Inf. Process. Manag..

[23]  Thorsten Joachims,et al.  WebWatcher: Machine Learning and Hypertext , 1995 .

[24]  Thorsten Joachims,et al.  A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization , 1997, ICML.

[25]  Oren Etzioni,et al.  Web document clustering: a feasibility demonstration , 1998, SIGIR '98.

[26]  Ivan Koychev,et al.  Learning to recommend from positive evidence , 2000, IUI '00.

[27]  Inderjeet Mani,et al.  Representational Issues in Machine Learning of User Profiles , 1996 .

[28]  Peter D. Turney Learning Algorithms for Keyphrase Extraction , 2000, Information Retrieval.

[29]  P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .

[30]  J. A. Salvato John wiley & sons. , 1994, Environmental science & technology.

[31]  E. Voorhees The Effectiveness & Efficiency of Agglomerative Hierarchic Clustering in Document Retrieval , 1985 .

[32]  Pattie Maes,et al.  Social information filtering: algorithms for automating “word of mouth” , 1995, CHI '95.

[33]  Peter Willett,et al.  Using interdocument similarity information in document retrieval systems , 1997 .

[34]  David N. Chin,et al.  Intelligent interfaces as agents , 1991 .

[35]  Tom M. Mitchell,et al.  Experience with a learning personal assistant , 1994, CACM.

[36]  Michael R. Genesereth,et al.  Software agents , 1994, CACM.

[37]  R. Lathe Phd by thesis , 1988, Nature.

[38]  I. B. Crabtree,et al.  Automatic Learning of User Profiles — Towards the Personalisation of Agent Services , 1998 .

[39]  James L. McClelland,et al.  Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations , 1986 .

[40]  Gerard Salton,et al.  The SMART Retrieval System—Experiments in Automatic Document Processing , 1971 .

[41]  Michael J. Pazzani,et al.  Learning and Revising User Profiles: The Identification of Interesting Web Sites , 1997, Machine Learning.

[42]  Wallace Koehler,et al.  Information science as "Little Science":The implications of a bibliometric analysis of theJournal of the American Society for Information Science , 2001, Scientometrics.

[43]  Ivan Koychev,et al.  Learning about Users from Observation , 2000 .

[44]  Kristian J. Hammond,et al.  A Case-Based Approach to Knowledge Navigation , 1994, IJCAI.

[45]  J. Mathias,et al.  Program , 1970 .

[46]  Ellen M. Voorhees,et al.  Implementing agglomerative hierarchic clustering algorithms for use in document retrieval , 1986, Inf. Process. Manag..

[47]  Michael McGill,et al.  Introduction to Modern Information Retrieval , 1983 .

[48]  Donna Harman,et al.  Multi-task multi-modality SVM for early COVID-19 Diagnosis using chest CT data , 2021, Information Processing & Management.

[49]  Ricardo Baeza-Yates,et al.  Information Retrieval: Data Structures and Algorithms , 1992 .

[50]  Richard O. Duda,et al.  Pattern classification and scene analysis , 1974, A Wiley-Interscience publication.

[51]  Martin F. Porter,et al.  An algorithm for suffix stripping , 1997, Program.

[52]  W. Bruce Croft,et al.  Fast Incremental Indexing for Full-Text Information Retrieval , 1994, VLDB.

[53]  Judy Kay,et al.  Proceedings of the seventh international conference on User modeling , 1999 .

[54]  Pattie Maes,et al.  Learning Interface Agents , 1993, AAAI.

[55]  K. Roberts,et al.  Thesis , 2002 .

[56]  G. W. Milligan,et al.  An examination of procedures for determining the number of clusters in a data set , 1985 .

[58]  Edie M. Rasmussen,et al.  Clustering Algorithms , 1992, Information Retrieval: Data Structures & Algorithms.

[59]  Peter Willett,et al.  Recent trends in hierarchic document clustering: A critical review , 1988, Inf. Process. Manag..

[60]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[61]  Leonard N. Foner A Multi-Agent Referral System for Matchmaking , 1996 .

[62]  J. Smith Seattle , 1906 .

[63]  Pattie Maes,et al.  Agents that reduce work and information overload , 1994, CACM.

[64]  Gerald Salton,et al.  Automatic text processing , 1988 .

[65]  Ola Carlvik,et al.  An Agent System For Media on Demand Services , 1996 .

[66]  Terry R. Payne,et al.  Experience with Learning Agents which Manage Internet-Based Information , 1996 .

[67]  A. Karimi,et al.  Master‟s thesis , 2011 .

[68]  Alexander Dekhtyar,et al.  Information Retrieval , 2018, Lecture Notes in Computer Science.

[69]  Alfred Kobsa,et al.  Personalised hypermedia presentation techniques for improving online customer relationships , 2001, The Knowledge Engineering Review.

[70]  Cyveillance Sizing the Internet , 2000 .

[71]  Hector Garcia-Molina,et al.  Incremental updates of inverted lists for text document retrieval , 1994, SIGMOD '94.