Toward Large-Scale Information Retrieval Using Latent Semant(10)

I am deeply indebted to Dr. Michael Berry, my major advisor, for his kind guidance and support. I also thank Dr. Susan Dumais, director of the Information Sciences Research Group at Bellcore, for her technical advice. In addition, she graciously allowed us

Chapter1

Introduction

Asstoragebecomesmoreplentifulandlessexpensive,theamountofinformationre-tainedbybusinessesandorganizationsislikelytoincrease.Searchingthatinformationandderivingusefulfacts,however,willbecomemorecumbersomeunlessnewtech-niquesaredevelopedtoautomaticallypartitionthedataintosetssmallenoughforahumantounderstand.

1.1MotivationandGoals

RichardWurman,inhisbookInformationAnxietyreportsthreestartlingfacts:“Approximately9600differentperiodicalsarepublishedintheUnitedStateseachyear,”

“Theamountofavailableinformationdoublesevery veyears;itwillsoondoubleeveryfour,”and

“Thenumberofbooksintoplibrariesdoubleseveryfourteenyears[Wur89].”Unfortunately,althoughtheamountofinformationavailableisgrowingatanexponen-tialrate,ourabilitytosearchthatinformationandderiveusefulfactsisdiminishing.

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