Random walks: A review of algorithms and applications

F **a, J Liu, H Nie, Y Fu, L Wan… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
A random walk is known as a random process which describes a path including a
succession of random steps in the mathematical space. It has increasingly been popular in …

Paper recommender systems: a literature survey

J Beel, B Gipp, S Langer, C Breitinger - International Journal on Digital …, 2016 - Springer
In the last 16 years, more than 200 research articles were published about research-paper
recommender systems. We reviewed these articles and present some descriptive statistics in …

Scientific paper recommendation: A survey

X Bai, M Wang, I Lee, Z Yang, X Kong, F **a - Ieee Access, 2019 - ieeexplore.ieee.org
Globally, the recommendation services have become important due to the fact that they
support e-commerce applications and different research communities. Recommender …

Big scholarly data: A survey

F **a, W Wang, TM Bekele, H Liu - IEEE Transactions on Big …, 2017 - ieeexplore.ieee.org
With the rapid growth of digital publishing, harvesting, managing, and analyzing scholarly
information have become increasingly challenging. The term Big Scholarly Data is coined …

Citesee: Augmenting citations in scientific papers with persistent and personalized historical context

JC Chang, AX Zhang, J Bragg, A Head, K Lo… - Proceedings of the …, 2023 - dl.acm.org
When reading a scholarly article, inline citations help researchers contextualize the current
article and discover relevant prior work. However, it can be challenging to prioritize and …

Temporal recommendation on graphs via long-and short-term preference fusion

L **ang, Q Yuan, S Zhao, L Chen, X Zhang… - Proceedings of the 16th …, 2010 - dl.acm.org
Accurately capturing user preferences over time is a great practical challenge in
recommender systems. Simple correlation over time is typically not meaningful, since users …

Context-aware recommender system: A review of recent developmental process and future research direction

K Haruna, M Akmar Ismail, S Suhendroyono… - Applied Sciences, 2017 - mdpi.com
Intelligent data handling techniques are beneficial for users; to store, process, analyze and
access the vast amount of information produced by electronic and automated devices. The …

Citation recommendation: approaches and datasets

M Färber, A Jatowt - International Journal on Digital Libraries, 2020 - Springer
Citation recommendation describes the task of recommending citations for a given text. Due
to the overload of published scientific works in recent years on the one hand, and the need …

Modeling and broadening temporal user interest in personalized news recommendation

L Li, L Zheng, F Yang, T Li - Expert Systems with Applications, 2014 - Elsevier
User profiling is an important step for solving the problem of personalized news
recommendation. Traditional user profiling techniques often construct profiles of users …

Research paper recommender system evaluation: a quantitative literature survey

J Beel, S Langer, M Genzmehr, B Gipp… - Proceedings of the …, 2013 - dl.acm.org
Over 80 approaches for academic literature recommendation exist today. The approaches
were introduced and evaluated in more than 170 research articles, as well as patents …