Search Results for author: Nikos Mamoulis

Found 7 papers, 2 papers with code

Leveraging Meta-path Contexts for Classification in Heterogeneous Information Networks

no code implementations18 Dec 2020 Xiang Li, Danhao Ding, Ben Kao, Yizhou Sun, Nikos Mamoulis

A heterogeneous information network (HIN) has as vertices objects of different types and as edges the relations between objects, which are also of various types.

Classification General Classification +2

Fast and Secure Distributed Nonnegative Matrix Factorization

1 code implementation7 Sep 2020 Yuqiu Qian, Conghui Tan, Danhao Ding, Hui Li, Nikos Mamoulis

Nonnegative matrix factorization (NMF) has been successfully applied in several data mining tasks.

An End-to-End Deep RL Framework for Task Arrangement in Crowdsourcing Platforms

no code implementations4 Nov 2019 Caihua Shan, Nikos Mamoulis, Reynold Cheng, Guoliang Li, Xiang Li, Yuqiu Qian

In this paper, we propose a Deep Reinforcement Learning (RL) framework for task arrangement, which is a critical problem for the success of crowdsourcing platforms.

Reinforcement Learning (RL)

A General Early-Stopping Module for Crowdsourced Ranking

no code implementations4 Nov 2019 Caihua Shan, Leong Hou U, Nikos Mamoulis, Reynold Cheng, Xiang Li

The number of microtasks depends on the budget allocated for the problem.

Heterogeneous Information Network Embedding for Meta Path based Proximity

no code implementations19 Jan 2017 Zhipeng Huang, Nikos Mamoulis

A network embedding is a representation of a large graph in a low-dimensional space, where vertices are modeled as vectors.

Network Embedding

Location Recommendation in Location-based Social Networks using User Check-in Data

1 code implementation1 Nov 2013 Hao Wang, Manolis Terrovitis, Nikos Mamoulis

The proposed algorithms outperform traditional recommendation algorithms and other approaches that try to exploit LBSN information.

Recommendation Systems

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