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Complex Knowledge Base Question Answering: A Survey

IEEE transactions on knowledge and data engineering, 2023-11, Vol.35 (11), p.1-20

2023

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Heterogeneous Information Network Embedding for Recommendation

IEEE transactions on knowledge and data engineering, 2019-02, Vol.31 (2), p.357-370

2019

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Deep Trajectory Recovery with Fine-Grained Calibration using Kalman Filter

IEEE transactions on knowledge and data engineering, 2021-03, Vol.33 (3), p.921-934

2021

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Personalized Route Recommendation With Neural Network Enhanced Search Algorithm

IEEE transactions on knowledge and data engineering, 2022-12, Vol.34 (12), p.5910-5924

2022

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Connecting Social Media to E-Commerce: Cold-Start Product Recommendation Using Microblogging Information

IEEE transactions on knowledge and data engineering, 2016-05, Vol.28 (5), p.1147-1159

2016

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Local Representative-Based Matrix Factorization for Cold-Start Recommendation

ACM transactions on information systems, 2018-04, Vol.36 (2), p.1-28

2018

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Automatically Learning Topics and Difficulty Levels of Problems in Online Judge Systems

ACM transactions on information systems, 2018-04, Vol.36 (3), p.1-33

2018

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An Experimental Study of Text Representation Methods for Cross-Site Purchase Preference Prediction Using the Social Text Data

Journal of computer science and technology, 2017-07, Vol.32 (4), p.828-842

2017

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Ranking and tagging bursty features in text streams with context language models

Frontiers of Computer Science, 2017-10, Vol.11 (5), p.852-862

2017

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Comparing Twitter and Traditional Media Using Topic Models

Advances in Information Retrieval, p.338-349

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Data Augmented Sequential Recommendation based on Counterfactual Thinking

IEEE transactions on knowledge and data engineering, 2023-09, Vol.35 (9), p.1-14

2023

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Dense Text Retrieval Based on Pretrained Language Models: A Survey

ACM transactions on information systems, 2024-02, Vol.42 (4), p.1-60, Article 89

2024

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KB4Rec: A Data Set for Linking Knowledge Bases with Recommender Systems

Data intelligence, 2019-04, Vol.1 (2), p.121-136

2019

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A General Multi-Context Embedding Model for Mining Human Trajectory Data

IEEE transactions on knowledge and data engineering, 2016-08, Vol.28 (8), p.1945-1958

2016

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Leveraging Meta-path based Context for Top- N Recommendation with A Neural Co-Attention Model

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018, p.1531-1540

2018

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Exploring demographic information in social media for product recommendation

Knowledge and information systems, 2016-10, Vol.49 (1), p.61-89

2016

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Linking Fine-Grained Locations in User Comments

IEEE transactions on knowledge and data engineering, 2018-01, Vol.30 (1), p.59-72

2018

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A time-aware trajectory embedding model for next-location recommendation

Knowledge and information systems, 2018-09, Vol.56 (3), p.559-579

2018

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Learning to Perturb for Contrastive Learning of Unsupervised Sentence Representations

IEEE/ACM transactions on audio, speech, and language processing, 2023-01, Vol.31, p.1-10

2023

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Supervised Search Result Diversification via Subtopic Attention

IEEE transactions on knowledge and data engineering, 2018-10, Vol.30 (10), p.1971-1984

2018

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Mining Product Adopter Information from Online Reviews for Improving Product Recommendation

ACM transactions on knowledge discovery from data, 2016-02, Vol.10 (3), p.1-23

2016

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A General SIMD-Based Approach to Accelerating Compression Algorithms

ACM transactions on information systems, 2015-03, Vol.33 (3), p.1-28

2015

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Type-Aware Question Answering over Knowledge Base with Attention-Based Tree-Structured Neural Networks

Journal of computer science and technology, 2017-07, Vol.32 (4), p.805-813

2017

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Learning Semantic Representations from Directed Social Links to Tag Microblog Users at Scale

ACM transactions on information systems, 2020-04, Vol.38 (2), p.1-30

2020

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Multi-grained hypergraph interest modeling for conversational recommendation

AI open, 2023, Vol.4, p.154-164

2023

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Complex Knowledge Base Question Answering: A Survey

Heterogeneous Information Network Embedding for Recommendation

Deep Trajectory Recovery with Fine-Grained Calibration using Kalman Filter

Personalized Route Recommendation With Neural Network Enhanced Search Algorithm

Connecting Social Media to E-Commerce: Cold-Start Product Recommendation Using Microblogging Information

Local Representative-Based Matrix Factorization for Cold-Start Recommendation

Automatically Learning Topics and Difficulty Levels of Problems in Online Judge Systems

An Experimental Study of Text Representation Methods for Cross-Site Purchase Preference Prediction Using the Social Text Data

Ranking and tagging bursty features in text streams with context language models

Comparing Twitter and Traditional Media Using Topic Models

Data Augmented Sequential Recommendation based on Counterfactual Thinking

Dense Text Retrieval Based on Pretrained Language Models: A Survey

KB4Rec: A Data Set for Linking Knowledge Bases with Recommender Systems

A General Multi-Context Embedding Model for Mining Human Trajectory Data

Leveraging Meta-path based Context for Top- N Recommendation with A Neural Co-Attention Model

Exploring demographic information in social media for product recommendation

Linking Fine-Grained Locations in User Comments

A time-aware trajectory embedding model for next-location recommendation

Learning to Perturb for Contrastive Learning of Unsupervised Sentence Representations

Supervised Search Result Diversification via Subtopic Attention

Mining Product Adopter Information from Online Reviews for Improving Product Recommendation

A General SIMD-Based Approach to Accelerating Compression Algorithms

Type-Aware Question Answering over Knowledge Base with Attention-Based Tree-Structured Neural Networks

Learning Semantic Representations from Directed Social Links to Tag Microblog Users at Scale

Multi-grained hypergraph interest modeling for conversational recommendation

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