A brief survey of text mining: Classification, clustering and extraction techniques
The amount of text that is generated every day is increasing dramatically. This tremendous
volume of mostly unstructured text cannot be simply processed and perceived by computers …
volume of mostly unstructured text cannot be simply processed and perceived by computers …
[PDF][PDF] Modern information retrieval: A brief overview
A Singhal - IEEE Data Eng. Bull., 2001 - academia.edu
For thousands of years people have realized the importance of archiving and finding
information. With the advent of computers, it became possible to store large amounts of …
information. With the advent of computers, it became possible to store large amounts of …
[BOOK][B] An introduction to information retrieval
CD Manning - 2009 - edl.emi.gov.et
As recently as the 1990s, studies showed that most people preferred getting information
from other people rather than from information retrieval systems. Of course, in that time …
from other people rather than from information retrieval systems. Of course, in that time …
[BOOK][B] Modern information retrieval
R Baeza-Yates, B Ribeiro-Neto - 1999 - people.ischool.berkeley.edu
Information retrieval (IR) has changed considerably in recent years with the expansion of the
World Wide Web and the advent of modern and inexpensive graphical user interfaces and …
World Wide Web and the advent of modern and inexpensive graphical user interfaces and …
A language modeling approach to information retrieval
JM Ponte, WB Croft - ACM SIGIR Forum, 2017 - dl.acm.org
Abstract Models of document indexing and docu-ment retrieval have been extensively
studied. The integration of these two classes of models has been the goal of several …
studied. The integration of these two classes of models has been the goal of several …
IR evaluation methods for retrieving highly relevant documents
This paper proposes evaluation methods based on the use of non-dichotomous relevance
judgements in IR experiments. It is argued that evaluation methods should credit IR methods …
judgements in IR experiments. It is argued that evaluation methods should credit IR methods …
[BOOK][B] Introduction to information retrieval
Introduction to Information Retrieval ` `%%%`#`&12_`__~~~ alse [0.5cm] IIR 19: Web Search
Page 1 Recap Big picture Ads Duplicate detection Spam Web IR Size of the web Introduction …
Page 1 Recap Big picture Ads Duplicate detection Spam Web IR Size of the web Introduction …
[BOOK][B] The turn: Integration of information seeking and retrieval in context
P Ingwersen, K Järvelin - 2005 - books.google.com
The Turn analyzes the research of information seeking and retrieval (IS&R) and proposes a
new direction of integrating research in these two areas: the fields should turn off their …
new direction of integrating research in these two areas: the fields should turn off their …
A probabilistic model of information retrieval: development and comparative experiments: Part 2
KS Jones, S Walker, SE Robertson - Information processing & management, 2000 - Elsevier
The paper combines a comprehensive account of the probabilistic model of retrieval with
new systematic experiments on TREC Programme material. It presents the model from its …
new systematic experiments on TREC Programme material. It presents the model from its …
Probabilistic models of information retrieval based on measuring the divergence from randomness
We introduce and create a framework for deriving probabilistic models of Information
Retrieval. The models are nonparametric models of IR obtained in the language model …
Retrieval. The models are nonparametric models of IR obtained in the language model …