Titlebook: Knowledge Science, Engineering and Management; 13th International C Gang Li,Heng Tao Shen,Xiang Zhao Conference proceedings 2020 Springer N

delusion

Robust Sequence Embedding for Recommendationti-classification task with the historical sequence as the input, and the next item as the output class label. Sequence representation learning in the multi-classification task is of our main concern. The item frequency usually follows the long tail distribution in recommendation systems, which will

灰心丧气

Deep Generative Recommendation with Maximizing Reciprocal Rankative model is that it can break through the limited modeling capabilities of linear models which dominate collaborative filtering research to a large extend. In this paper, we propose a deep generative recommendation model by enforcing a list-wise ranking strategy to VAE with the aid of multinomial

沙发

放逐某人

彻底检查

Seeds Selection for Influence Maximization Based on Device-to-Device Social Knowledge by Reinforcemege D2D social knowledge to select influential users (seed users or seeds) for influence maximization to minimize network traffic. Lots of work has been done for seeds selection in a single community. However, few studies are about seeds selection in multiple communities. In this paper, we build a Mu

没血色

CIFEF: Combining Implicit and Explicit Features for Friendship Inference in Location-Based Social Nemost active problems in LBSNs is friendship inference based on their rich check-in data. Previous studies are mainly based on co-occurrences of two users, however, a large number of user pairs have no co-occurrence, which weakens the performance of previous proposed methods. In this paper, we propos

Observe

r Neuzeit zu eigenständigen Teildisziplinen entwickelt haben: Analysis, Wahrscheinlichkeitstheorie, angewandte Mathematik, Topologie und Mengenlehre. Die Darstellung verzichtet auf Vollständigkeit und konzentriert sich stattdessen ganz bewusst auf wesentliche oder besonders interessante Aspekte: Ein

MILK

IRK

DUCE