Amanote Research

Amanote Research

    RegisterSign In

A System Using Implicit Feedback and Top Ranking Sentences to Help Users Find Relevant Web Documents

doi 10.1145/564376.564487
Full Text
Open PDF
Abstract

Available in full text

Date

January 1, 2002

Authors
Ryen W. WhiteJoemon M. JoseIan Ruthven
Publisher

ACM Press


Related search

Finding Relevant Documents Using Top Ranking Sentences: An Evaluation of Two Alternative Schemes

2002English

Unifying Explicit and Implicit Feedback for Rating Prediction and Ranking Recommendation Tasks

2019English

Using Dynamic Constraints Find Top Products

International Journal of Computer Applications
2015English

Using the Quantum Probability Ranking Principle to Rank Interdependent Documents

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2010English

Deep Web Users Deanonimization System

Proceedings of the Institute for System Programming of the RAS
2016English

Patients Whom Neurologists Find Difficult to Help

Journal of Neurology, Neurosurgery and Psychiatry
PsychiatryMental HealthNeurologySurgery
2004English

Implementation of a New Recommendation System Based on Decision Tree Using Implicit Relevance Feedback

Journal of Software
2015English

Sentences and Documents in Native Language Identification

2018English

A Unified Approach to Retrieving Web Documents and Semantic Web Data

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy