A Learning Apprentice For Browsing
Published 1 January 1994
Robert C. Holte, Chris Drummond
Citations18
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
The agent is a learning apprentice: it monitors the user’s normal browsing actions and learns a measure of "relevance" to the user interests and searches the library being browsed, uses the learned measure to evaluate items and presents to theuser those that are most relevant.
Abstract
This paper describes the task of browsing and an agent we have developed to improve the speed and success rate of browsing. The agent is a learning apprentice: it monitors the user’s normal browsing actions and learns a measure of "relevance " to the user interests. It searches the library being browsed, uses the learned measure to evaluate items and presents to the user those that are most relevant. The paper discusses the main issues raised during the development of the browsing agent. These are of general interest not only because browsing is of considerable practical importance but also because it represents a prototypical task for
Keywords
Computer Science
Relevance feedback revisited
405 Citations1992Donna Harman
These experiments, using the Cranfield 1400 collection, showed the importance of query expansion in addition to query reweighting, and showed that adding as few as 20 well-selected terms could result in performance improvements of over 100%.
Concept learning and the problem of small disjuncts
342 Citations1989Robert C. Holte, Liane Acker +1 more
Various approaches to this problem are evaluated, including the novel approach of using a bias different than the "maximum generality" bias, which prove partly successful, but the problem of small disjuncts remains open.
Artificial IntelligenceConcept learning and heuristic classification in weak-theory domains
255 Citations1990Bruce Porter, Ray Bareiss +1 more
This paper describes a successful approach to concept learning for heuristic classification that has been applied to the domain of clinical audiology and achieved a competence level equaling that of human experts and far surpassing that of other machine learning programs.
International Joint Conference on Artificial IntelligenceLEAP: a learning apprentice for VLSI design
249 Citations1985Tom M. Mitchell, Sridhar Mahadevan +1 more
Learning interface agents
241 Citations1993Pattie Maes, Robyn Kozierok
It is argued that the machine learning approach to building interface agents is a feasible one which has several advantages over other approaches: it provides a customized and adaptive solution which is less costly and ensures better user acceptability.
Evolving agents for personalized information filtering
227 Citations2002B. Sheth, Pattie Maes
Results of a set of experiments are presented in which a small population of information filtering agents was evolved to make a personalized selection of news articles from the USENET newsgroups, showing that the artificial evolution component of the system is responsible for improving the recall rate of the selected set of articles, while learning from feedback component improves the precision rate.
Lecture notes in computer scienceEffective learning in dynamic environments by explicit context tracking
175 Citations1993Gerhard Widmer, Miroslav Kubát
By explicitly storing old hypotheses and re-using them to bias learning in new contexts, the method possesses the ability to utilize experience from previous learning, which greatly increases the system's effectiveness in environments where contexts can reoccur periodically.
A personal learning apprentice
154 Citations1992Lisa Dent, Jesús G. Boticario +3 more
The organization of CAP, its performance in initial field tests, and more general lessons learned from this effort about learning apprentice systems are described.
Elsevier eBooksSmall Disjuncts in Action: Learning to Diagnose Errors in the Local Loop of the Telephone Network
71 Citations1993Andrea Danyluk, Foster Provost
The need for smaller disjuncts is a major reason that it is difficult to learn from errorful data in this domain of NYNEX MAX, an expert system that diagnoses the local loop in a telephone network.
Journal of Artificial Intelligence ResearchSoftware Agents: Completing Patterns and Constructing User Interfaces
70 Citations1993Jeffrey C. Schlimmer, L.A. Hermens
This paper describes an interactive note-taking system for pen-based computers with two distinctive features: first, it actively predicts what the user is going to write and second, it automatically constructs a custom, button-box user interface on request.
Lecture notes in computer scienceExploiting context when learning to classify
61 Citations1993Peter D. Turney
This paper addresses the problem of classifying observations when features are context-sensitive, specifically when the testing set involves a context that is different from the training set, and presents general strategies for enhancing the performance of classification algorithms on this type of problem.
IEEE ExpertA machine-learning apprentice for the completion of repetitive forms
54 Citations1994L.A. Hermens, J.C. Shlimmer
Lecture notes in computer scienceCOBBIT—A control procedure for COBWEB in the presence of concept drift
25 Citations1993Fredrik Kilander, Carl Gustaf Jansson
Six mechanisms that can detect concept drift and adjust the conceptual structure are proposed and a variant of one of these mechanisms: dynamic deletion of old examples, is implemented in a modified COBWEB system called COBBIT.
A machine-learning apprentice for the completion of repetitive forms
23 Citations2002L.A. Hermens, Jeffrey C. Schlimmer
A non-intrusive assistant or apprentice is described that provides viable default values for blank fields in a form and highlights possible inconsistencies in completed fields and significantly reduced the number of keystrokes required to fill out repetitious forms.
Accelerating browsing by automatically inferring a user's search goal
4 Citations1993Chris Drummond, Robert C. Holte +1 more
A novel method called 'active browsing' is discussed, which increases the speed and accuracy with which a user may browse libraries for reusable software.