Heterogeneous type-specific entity representation learning for recommendations in e-commerce network

Exploring temporal representations by leveraging attention-based bidirectional LSTM-RNNs for multi-modal emotion recognition

(2020) Chao Li et al.   INFORMATION PROCESSING & MANAGEMENT

Learning entity-centric document representations using an entity facet topic model

(2020) Chuan Wu et al.   INFORMATION PROCESSING & MANAGEMENT

Link prediction in heterogeneous information networks: An improved deep graph convolution approach

(2020) Xi Wang et al.   DECISION SUPPORT SYSTEMS

Relevance-based entity selection for ad hoc retrieval

(2019) Faezeh Ensan et al.   INFORMATION PROCESSING & MANAGEMENT

Heterogeneous graph-based joint representation learning for users and POIs in location-based social network

(2019) Yaqiong Qiao et al.   INFORMATION PROCESSING & MANAGEMENT

Graph neural news recommendation with long-term and short-term interest modeling

(2019) Linmei Hu et al.   INFORMATION PROCESSING & MANAGEMENT

Collaborative deep recommendation with global and local item correlations

(2019) Huiting Liu et al.   NEUROCOMPUTING

Heterogeneous Information Network Embedding for Recommendation

(2018) Chuan Shi et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Gated recurrent units based neural network for time heterogeneous feedback recommendation

(2018) Juntao Liu et al.   INFORMATION SCIENCES

A Survey of Heterogeneous Information Network Analysis

(2017) Chuan Shi et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Deep hybrid recommender systems via exploiting document context and statistics of items

(2017) Donghyun Kim et al.   INFORMATION SCIENCES

Social recommendation via multi-view user preference learning

(2016) Hanqing Lu et al.   NEUROCOMPUTING

SPrank

(2016) Tommaso Di Noia et al.   ACM Transactions on Intelligent Systems and Technology

Matrix Factorization Techniques for Recommender Systems

(2009) Yehuda Koren et al.   COMPUTER