Spatial-temporal aware intelligent service recommendation method based on distributed tensor factorization for big data applications
With the dramatic growth of public cloud offerings and heterogeneous data information, how
to discover potentially valuable information from big history behavior data and design …
to discover potentially valuable information from big history behavior data and design …
Expert recommendation via tensor factorization with regularizing hierarchical topical relationships
Abstract Knowledge acquisition and exchange are generally crucial yet costly for both
businesses and individuals, especially when the knowledge concerns various areas …
businesses and individuals, especially when the knowledge concerns various areas …
Software expert discovery via knowledge domain embeddings in a collaborative network
Abstract Community Question Answering (CQA) websites can be claimed as the most major
venues for knowledge sharing, and the most effective way of exchanging knowledge at …
venues for knowledge sharing, and the most effective way of exchanging knowledge at …
[PDF][PDF] Point-of-interest recommender systems: A survey from an experimental perspective
P Sánchez, A Bellogín - arXiv preprint arXiv:2106.10069, 2021 - academia.edu
Authors' addresses: Pablo Sánchez, Information Retrieval Group, Universidad Autónoma de
Madrid, Madrid, 28049, Spain, pablo. sanchezp@ uam. es; Alejandro Bellogín, Information …
Madrid, Madrid, 28049, Spain, pablo. sanchezp@ uam. es; Alejandro Bellogín, Information …
Learning to Make Document Context‐Aware Recommendation with Joint Convolutional Matrix Factorization
Context‐aware recommendation (CR) is the task of recommending relevant items by
exploring the context information in online systems to alleviate the data sparsity issue of the …
exploring the context information in online systems to alleviate the data sparsity issue of the …
Contextual location recommendation for location-based social networks by learning user intentions and contextual triggers
Location recommendation methods suggest unvisited locations to their users. Many existing
location recommendation methods focus on the spatial, social and temporal aspects of …
location recommendation methods focus on the spatial, social and temporal aspects of …
[HTML][HTML] 上下文感知旅游推荐系统研究综述
匡海丽， 常亮， 宾辰忠， 古天龙 - 智能系统学报, 2019 - html.rhhz.net
随着人们生活水平的提高, 旅游已成为一项普遍的休闲活动, 进而推动了旅游推荐方面技术的
研究. 与传统推荐系统相比, 除了考虑游客和旅游产品的相关特征之外, 旅游推荐系统的推荐质量 …
研究. 与传统推荐系统相比, 除了考虑游客和旅游产品的相关特征之外, 旅游推荐系统的推荐质量 …
Complementing Amber Alert: Increasing the social sensors' effectiveness through focused communication channels
A Michalitsi-Psarrou, M Pertselakis… - … and innovation (ice …, 2019 - ieeexplore.ieee.org
The general idea of the AMBER/Child Alert System is that by broadcasting and distributing
information about a missing child to the community, the public's involvement can trigger …
information about a missing child to the community, the public's involvement can trigger …
Style-oriented personalized landmark recommendation
J Shen, Z Cheng, M Yang, B Han… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Personalized travel recommendation has attracted lots of research attention in both
academic and industry communities. Although a great progress has been achieved so far …
academic and industry communities. Although a great progress has been achieved so far …
[Retracted] Multiweight Cross‐Multimedia Logistics Optimal Path Exploration by Integrating High‐Dimensional Deep Learning
H Zhang, J Guo, G Sun - Advances in Multimedia, 2021 - Wiley Online Library
High‐dimensional deep learning has been applied in all walks of life at present, among
which the most representative one is the logistics path optimization combining multimedia …
which the most representative one is the logistics path optimization combining multimedia …