Tools
Sorted by:
Try your query at:
 |
 |
 |
 |
 |
 |
Results 1 - 10
of
38,229
Modern Information Retrieval
, 1999
"... Information retrieval (IR) has changed considerably in the last years with the expansion of the Web (World Wide Web) and the advent of modern and inexpensive graphical user interfaces and mass storage devices. As a result, traditional IR textbooks have become quite out-of-date which has led to the i ..."
Abstract
-
Cited by 3233 (29 self)
- Add to MetaCart
Information retrieval (IR) has changed considerably in the last years with the expansion of the Web (World Wide Web) and the advent of modern and inexpensive graphical user interfaces and mass storage devices. As a result, traditional IR textbooks have become quite out-of-date which has led
Private Information Retrieval
"... We describe schemes that enable a user to access k replicated copies of a database ( k * 2) and privately retrieve informationstored in the database. This means that each individual database gets no information on the identity of the item retrieved by the user. For a single database, achieving thi ..."
Abstract
-
Cited by 558 (14 self)
- Add to MetaCart
We describe schemes that enable a user to access k replicated copies of a database ( k * 2) and privately retrieve informationstored in the database. This means that each individual database gets no information on the identity of the item retrieved by the user. For a single database, achieving
Naive (Bayes) at Forty: The Independence Assumption in Information Retrieval
, 1998
"... The naive Bayes classifier, currently experiencing a renaissance in machine learning, has long been a core technique in information retrieval. We review some of the variations of naive Bayes models used for text retrieval and classification, focusing on the distributional assump- tions made abou ..."
Abstract
-
Cited by 499 (1 self)
- Add to MetaCart
The naive Bayes classifier, currently experiencing a renaissance in machine learning, has long been a core technique in information retrieval. We review some of the variations of naive Bayes models used for text retrieval and classification, focusing on the distributional assump- tions made
A Language Modeling Approach to Information Retrieval
, 1998
"... Models of document indexing and document retrieval have been extensively studied. The integration of these two classes of models has been the goal of several researchers but it is a very difficult problem. We argue that much of the reason for this is the lack of an adequate indexing model. This sugg ..."
Abstract
-
Cited by 1154 (42 self)
- Add to MetaCart
Models of document indexing and document retrieval have been extensively studied. The integration of these two classes of models has been the goal of several researchers but it is a very difficult problem. We argue that much of the reason for this is the lack of an adequate indexing model
Using Linear Algebra for Intelligent Information Retrieval
- SIAM REVIEW
, 1995
"... Currently, most approaches to retrieving textual materials from scientific databases depend on a lexical match between words in users' requests and those in or assigned to documents in a database. Because of the tremendous diversity in the words people use to describe the same document, lexical ..."
Abstract
-
Cited by 676 (18 self)
- Add to MetaCart
Currently, most approaches to retrieving textual materials from scientific databases depend on a lexical match between words in users' requests and those in or assigned to documents in a database. Because of the tremendous diversity in the words people use to describe the same document
Visual Information Retrieval
, 1997
"... ND BUSINESSMAN CALVIN MOORES COINED the term information retrieval [10] to describe the process through which a prospective user of information can convert a request for information into a useful collection of references. "Information retrieval," he wrote, "embraces the intellectual a ..."
Abstract
-
Cited by 283 (2 self)
- Add to MetaCart
ND BUSINESSMAN CALVIN MOORES COINED the term information retrieval [10] to describe the process through which a prospective user of information can convert a request for information into a useful collection of references. "Information retrieval," he wrote, "embraces the intellectual
Information Retrieval as Statistical Translation
"... We propose a new probabilistic approach to information retrieval based upon the ideas and methods of statistical machine translation. The central ingredient in this approach is a statistical model of how a user might distill or "translate" a given document into a query. To assess the rele ..."
Abstract
-
Cited by 313 (6 self)
- Add to MetaCart
We propose a new probabilistic approach to information retrieval based upon the ideas and methods of statistical machine translation. The central ingredient in this approach is a statistical model of how a user might distill or "translate" a given document into a query. To assess
Information Filtering and Information Retrieval: Two Sides of the Same Coin
- COMMUNICATIONS OF THE ACM
, 1992
"... Information filtering systems are designed for unstructured or semistructured data, as opposed to database applications, which use very structured data. The systems also deal primarily with textual information, but they may also entail images, voice, video or other data types that are part of multim ..."
Abstract
-
Cited by 441 (6 self)
- Add to MetaCart
, that typically represent long-term interests. Filtering also implies removal of data from an incoming stream rather than finding data in the stream; users see only the data that is extracted. Models of information retrieval and filtering, and lessons for filtering from retrieval research are presented.
Results 1 - 10
of
38,229
