An anatomization of research paper recommender system: Overview, approaches and challenges
The purpose of this study is to present an exhaustive analysis on research paper
recommender systems which have become very popular and gained a lot of research …
recommender systems which have become very popular and gained a lot of research …
A review of citation recommendation: from textual content to enriched context
Citation recommendation systems play an important role to alleviate the dilemma that
scholar users spend a lot of time and experiences for literature survey. With the burgeoning …
scholar users spend a lot of time and experiences for literature survey. With the burgeoning …
A survey of recommendation systems
Today's internet is able to discover almost any product or piece of information. The large
amounts of unfiltered information returned by an internet query calls for filters able to …
amounts of unfiltered information returned by an internet query calls for filters able to …
Digital library keyword analysis for visualization education research: Issues and recommendations
S Bratt - Journal of Applied Research in Higher Education, 2018 - emerald.com
Purpose The purpose of this paper is to assess the efficacy of the Institute of Electrical and
Electronics Engineers (IEEE) Xplore digital library search engine to return relevant materials …
Electronics Engineers (IEEE) Xplore digital library search engine to return relevant materials …
[图书][B] Capturing and Exploiting Citation Knowledge for the Recommendation of Scientific Publications
A Khadka - 2020 - search.proquest.com
With the continuous growth of scientific literature, it is becoming increasingly challenging to
discover relevant scientific publications from the plethora of available academic digital …
discover relevant scientific publications from the plethora of available academic digital …
面向签到日志的用户行为模式交互探索
李丛敏， 李杰， 张康， 陶文源 - 软件学报, 2019 - jos.org.cn
签到日志记录了用户对于某类设施的使用情况, 从中发现用户行为模式, 在很多领域如精确广告
投放, 犯罪团伙发现等方面都具有非常广泛的应用价值. 但是, 发现过程却较为困难, 主要因为:(1) …
投放, 犯罪团伙发现等方面都具有非常广泛的应用价值. 但是, 发现过程却较为困难, 主要因为:(1) …
Effective community detection with topic modeling in article recommender systems using LS-SLM and PCC-LDA
SK Rachamadugu, TP Pushphavathi - Journal of Intelligent & Fuzzy … - content.iospress.com
This paper introduces an innovative approach, the LS-SLM (Local Search with Smart Local
Moving) technique, for enhancing the efficiency of article recommendation systems based …
Moving) technique, for enhancing the efficiency of article recommendation systems based …
HyResPR: Hybridized Framework for Recommendation of Research Paper Using Semantically Driven Machine Learning Models
S Maddineni, G Deepak, SV Praveen - International Conference on …, 2022 - Springer
The obligation for research paper recommendation is high as scientific document
recommendations like research paper recommendation frameworks are not many in …
recommendations like research paper recommendation frameworks are not many in …
Distributed Graph Techniques to Quantify Social Media Engagement of Covid-19 Scientific Literature through Incremental Tweet Chain Measurements
ML Johns II - 2021 - search.proquest.com
This research combined existing distributed data and graph techniques with a novel
approach, refined over many experiments, to quantify social media engagement. The …
approach, refined over many experiments, to quantify social media engagement. The …
A Bisociated Domain-Based Serendipitous Novelty-Recommendation Technique for Recommender Systems
Traditional recommendation paradigms such as content-based filtering (CBF) tend to
recommend items that are very similar to user profile characteristics and item input, resulting …
recommend items that are very similar to user profile characteristics and item input, resulting …