Chronor: Rotation based temporal knowledge graph embedding

A Sadeghian, M Armandpour, A Colas… - Proceedings of the AAAI …, 2021 - ojs.aaai.org
Despite the importance and abundance of temporal knowledge graphs, most of the current
research has been focused on reasoning on static graphs. In this paper, we study the …

Presentation of a recommender system with ensemble learning and graph embedding: a case on MovieLens

S Forouzandeh, K Berahmand, M Rostami - Multimedia Tools and …, 2021 - Springer
Abstract Information technology has spread widely, and extraordinarily large amounts of
data have been made accessible to users, which has made it challenging to select data that …

Demand forecasting model using hotel clustering findings for hospitality industry

K Kaya, Y Yılmaz, Y Yaslan, ŞG Öğüdücü… - Information Processing & …, 2022 - Elsevier
Tourism has become a growing industry day by day with the developing economic
conditions and the increasing communication and social interaction ability of the people …

Mining user interest based on personality-aware hybrid filtering in social networks

S Dhelim, N Aung, H Ning - Knowledge-Based Systems, 2020 - Elsevier
With the emergence of online social networks and microblogging websites, user interest
mining has been an active research topic for the past few years. However, most of the …

Addressing cold start new user in recommender system based on hybrid approach: A review and bibliometric analysis

NT Al Ghifari, B Sitohang… - IT Journal Research and …, 2021 - journal.uir.ac.id
Increasing number of internet users today, the use of e-commerce becomes a very vital
need. One of the keys that holds the success of the e-commerce system is the …

Multimodal Temporal Fusion Transformers Are Good Product Demand Forecasters

M Sukel, S Rudinac, M Worring - IEEE MultiMedia, 2024 - ieeexplore.ieee.org
Multimodal demand forecasting aims at predicting product demand utilizing visual, textual,
and contextual information. This paper proposes a method for such forecasting using an …

A multistage ranking strategy for personalized hotel recommendation with human mobility data

Y Li, M Fan, J Huang, K Li - Proceedings of the 2020 ACM SIGIR on …, 2020 - dl.acm.org
To increase user satisfaction and own income, more and more hotel booking sites begin to
pay attention to personalized recommendation. However, almost all user preference …

The Voice of Major E-Tourism Players: An Expedia Group Perspective

J Krasnodebski - Handbook of e-Tourism, 2020 - Springer
This chapter outlines the approach of Expedia Group, the world's travel platform, and the
role of technology in revolutionizing travel search, discovery, and booking. It covers …

Statistical Relational Learning on Knowledge Graphs

A Sadeghian - 2021 - search.proquest.com
A vast amount of information is inherently graph structured, for example, human
relationships, chemical structures, or knowledge graphs; this type of data, are necessary in …

[PDF][PDF] Saman Forouzandeh, Kamal Berahmand

M Rostami - researchgate.net
Abstract Information technology has spread widely, and extraordinarily large amounts of
data have been made accessible to users, which has made it challenging to select data that …