User Adaptive Methods for Interactive Analysis of Document Databases

نویسندگان

  • Andreas Nürnberger
  • Marcin Detyniecki
چکیده

The currently available document retrieval tools are usually still based on simple keyword search methods and according result list or a static (hierarchical) classification of the considered document collection. Both approaches neither allow a user to adapt the ranking or the classification to his needs, nor provide visualization methods to support the user in browsing or analysing a document collection. In this article we give a brief overview of our work on user adaptive methods for searching and browsing in document collections.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Comparison Between Unsupervised and Supervise Fuzzy Clustering Method in Interactive Mode to Obtain the Best Result for Extract Subtle Patterns from Seismic Facies Maps

Pattern recognition on seismic data is a useful technique for generating seismic facies maps that capture changes in the geological depositional setting. Seismic facies analysis can be performed using the supervised and unsupervised pattern recognition methods. Each of these methods has its own advantages and disadvantages. In this paper, we compared and evaluated the capability of two unsuperv...

متن کامل

RRLUFF: Ranking function based on Reinforcement Learning using User Feedback and Web Document Features

Principal aim of a search engine is to provide the sorted results according to user’s requirements. To achieve this aim, it employs ranking methods to rank the web documents based on their significance and relevance to user query. The novelty of this paper is to provide user feedback-based ranking algorithm using reinforcement learning. The proposed algorithm is called RRLUFF, in which the rank...

متن کامل

Analysis of User Interface Environment in Scientific Databases According to the Viewpoints of Postgraduate Students Applying Dervin's Sense-Making Theory

Abstract Background and purpose: The purpose of this study was to analyze the user interface environment of some databases (Science Direct, Springer, Clinical Key, and Wiley online library) from the perspective of users applying Dervin's sense-making theory. Materials and methods: A cross-sectional descriptive study was conducted in 100 PhD students and research-based PhD students in Mazandar...

متن کامل

Interactive Visualization Tool for Analysis of Large Image Databases

Navigation and interaction are essential features for an interface that is built as a help tool for analyzing large image databases. A tool for actively searching for information in large image databases is called an Image Retrieval System, or its more advanced version is called an Adaptive Image Retrieval System (AIRS). In an Adaptive Image Retrieval System (AIRS) the user-system interaction i...

متن کامل

WISDOM++: An Interactive and Adaptive Document Analysis System

WISDOM++ is a document analysis system whose main design requirements are real-time user interaction and adaptivity. This paper presents the two-phased skew estimation algorithm and the adaptive document block segmentation and classification techniques. An evaluation of the performance of some of these tasks is also conducted according to a benchmarking procedure.

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2002