登录 注册 会员服务 联系我们

A polynomial modeling based algorithm in top-N recommendation

  • Published:2017-08 Issue: Volume:79 Page:313-321
  • ISSN:0957-4174
  • Container-title:Expert Systems with Applications
  • language:en
  • Short-container-title:Expert Systems with Applications

Author:

Kasap Özge Yücel,Tunga M. Alper

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference42 articles.

1. High dimensional model representation in image processing;Altın,2014

2. Clustering-based diversity improvement in top-n recommendation;Aytekin;Journal of Intelligent Information Systems,2014

3. Confidence bounds on design variables using high-dimensional model representation-based inverse reliability analysis;Balu;Journal of Structural Engineering,2014

4. Recommendation as classification: Using social and content-based information in recommendation;Basu,1998

5. Research-paper recommender systems: A literature survey;Beel;International Journal on Digital Libraries,2016

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Personalized Recommendation Method of E-Commerce Products Based on In-Depth User Interest Portraits;International Journal of Information Technology and Web Engineering;2023-12-29

2. Deep Fuzzy Clustering and Deep Residual Network for Prediction of Web Pages from Weblog Data with Fractional Order Based Ranking;International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems;2023-06

3. Big Data Personalized Recommendation Algorithm Based on Hadoop e-Commerce Platform;Lecture Notes in Electrical Engineering;2023

4. An efficient feature extraction approach for hyperspectral images using Wavelet High Dimensional Model Representation;International Journal of Remote Sensing;2022-12-13

5. A Review Text-based Recommendation System in Text Mining;2022 IEEE International Conference of Computer Science and Information Technology (ICOSNIKOM);2022-10-19
同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3