An overview of topic modeling and its current applications in bioinformatics
L Liu, L Tang, W Dong, S Yao, W Zhou - SpringerPlus, 2016 - Springer
Background With the rapid accumulation of biological datasets, machine learning methods
designed to automate data analysis are urgently needed. In recent years, so-called topic …
designed to automate data analysis are urgently needed. In recent years, so-called topic …
Rating prediction based on social sentiment from textual reviews
In recent years, we have witnessed a flourish of review websites. It presents a great
opportunity to share our viewpoints for various products we purchase. However, we face an …
opportunity to share our viewpoints for various products we purchase. However, we face an …
GETNext: trajectory flow map enhanced transformer for next POI recommendation
Next POI recommendation intends to forecast users' immediate future movements given their
current status and historical information, yielding great values for both users and service …
current status and historical information, yielding great values for both users and service …
Deep-distributed-learning-based POI recommendation under mobile-edge networks
With the rapid development of edge intelligence in wireless communication networks,
mobile-edge networks (MENs) have been broadly discussed in academia. Supported by …
mobile-edge networks (MENs) have been broadly discussed in academia. Supported by …
An efficient recommendation generation using relevant Jaccard similarity
In the literature, various collaborative filtering approaches have been developed to perform
an efficient recommendation on top of reducing the search cost of the customers. The …
an efficient recommendation on top of reducing the search cost of the customers. The …
Multi-modal graph contrastive learning for micro-video recommendation
Recently micro-videos have become more popular in social media platforms such as TikTok
and Instagram. Engagements in these platforms are facilitated by multi-modal …
and Instagram. Engagements in these platforms are facilitated by multi-modal …
Personalized long-and short-term preference learning for next POI recommendation
Next POI recommendation has been studied extensively in recent years. The goal is to
recommend next POI for users at specific time given users' historical check-in data …
recommend next POI for users at specific time given users' historical check-in data …
Personalized travel sequence recommendation on multi-source big social media
Big data increasingly benefit both research and industrial area such as health care, finance
service and commercial recommendation. This paper presents a personalized travel …
service and commercial recommendation. This paper presents a personalized travel …
Hierarchical user intent graph network for multimedia recommendation
Understanding user preference on item context is the key to acquire a high-quality
multimedia recommendation. Typically, the pre-existing features of items are derived from …
multimedia recommendation. Typically, the pre-existing features of items are derived from …
Two-stage travel itinerary recommendation optimization model considering stochastic traffic time
Y Ding, L Zhang, C Huang, R Ge - Expert Systems with Applications, 2024 - Elsevier
In an increasingly competitive market, most online tour operators have launched
personalized travel itinerary recommendation services. Different from previous studies, this …
personalized travel itinerary recommendation services. Different from previous studies, this …