Table of contents
Click models inspired learning to rank
Amir Hosein Keyhanipour, Farhad OroumchianIncorporating users’ behavior patterns could help in the ranking process. Different click models (CMs) are introduced to model the sophisticated search-time behavior of users…
Value trace problems with assisting references for Python programming self-study
San Hay Mar Hay Mar Shwe, Nobuo Funabiki, Yan Watequlis Syaifudin, Phyu Phyu Tar, Htoo Htoo Sandi Kyaw, Hnin Aye Thant, Wen-Chung Kao, Nandar Win Min, Thandar Myint, Ei Ei HtetThis study aims to present the value trace problem (VTP) for Python programming self-study, by extending the works for Java programming learning assistant system. In total, 130…
How social presence influences impulse buying behavior in live streaming commerce? The role of S-O-R theory
Junlan Ming, Zeng Jianqiu, Muhammad Bilal, Umair Akram, Mingyue FanThis paper aims to examine how presence (the social presence of live streaming platforms, of viewers, of live streamers and telepresence) affects consumer trust and flow state…
Simulation of crowd management using deep learning algorithm
Ibtehal Talal NafeaThis study aims to propose a new simulation approach for a real-life large and complex crowd management which takes into account deep learning algorithm. Moreover, the proposed…
Application of a methodological approach to compare ontologies
Yudith Cardinale, Maria Alejandra Cornejo-Lupa, Alexander Pinto-De la Gala, Regina Ticona-HerreraThis study aims to the OQuaRE quality model to the developed methodology.
Performance evaluation of GPU- and cluster-computing for parallelization of compute-intensive tasks
Alexander Döschl, Max-Emanuel Keller, Peter MandlThis paper aims to evaluate different approaches for the parallelization of compute-intensive tasks. The study compares a Java multi-threaded algorithm, distributed computing…
ISSN:
1744-0084Online date, start – end:
2005Copyright Holder:
Emerald Publishing LimitedOpen Access:
hybridEditors:
- Prof. Honghao Gao
- Prof. Li Kuang