诺库维普

DAML: Dual Attention Mutual Learning between Ratings andReviews for Item Recommendation 2019-08-20 11:57:07

Despite the great success of many matrix factorization based collaborative filtering approaches, there is still much space for improvement in recommender system field. One main obstacle is the cold-start and data sparseness problem, requiring better solutions. Recent studies have attempted to integr... ; || Bo Du...

Dual Sequential Prediction Models Linking SequentialRecommendation and Information Dissemination 2019-08-20 11:41:31

Sequential recommendation and information dissemination are two traditional problems for sequential information retrieval. The common goal of the two problems is to predict future user-item interactions based on past observed interactions. The difference is that the former deals with users’ historie... ; || Xiaofeng Gao...

Taxonomy-Aware Multi-Hop Reasoning Networks for Sequential Recommendation 2019-08-12 01:37:10

In this paper, we focus on the task of sequential recommendation using taxonomy data. Existing sequential recommendation methods usually adopt a single vectorized representation for learning the overall sequential characteristics, and have a limited modeling capacity in capturing multi-grained seque... || Sequential recommendation, multi-hop reasoning, taxonomy, category; memory model； wsdm 19; || Jin Huang; Wayne Xin Zhao...

Self-Attentive Sequential Recommendation 2019-08-06 00:10:35

Sequential dynamics are a key feature of many modern recommender systems, which seek to capture the ‘con- text’ of users’ activities on the basis of actions they have performed recently. To capture such patterns, two approaches have proliferated: Markov Chains (MCs) and Recurrent Neural Networks (RN... || ICDM；dropout；残差处理；点乘对称性；复杂度分析；内存分析（参数数量）；神经网络技巧（残差输入）; || Wang-Cheng Kang, Julian McAuley...

FAT-DeepFFM: Field Attentive Deep Field-aware Factorization Machine 2019-08-05 23:42:00

Click through rate (CTR) estimation is a fundamental task in personalized advertising and recommender systems. Recent years have witnessed the success of both the deep learning-based model and attention mechanism in various tasks in computer vision (CV) and natural language processing (NLP). How to ... || attention; second-order; FFM; || JunlinZhang...

Leveraging app usage contexts for app recommendation: a neural approach 2019-07-30 05:02:55

The large volume and variety of apps pose a great challenge for people to choose appropriate apps. As a consequence, app recommendation is becoming increasingly important. Recently, app usage data which record the sequence of apps being used by a user have become increasingly available. Such data re... ; || Yanan Xu...

Personalized Fashion Recommendation with Visual Explanations based on Multimodal Attention Network 2019-07-27 03:39:41

Fashion recommendation has attracted increasing attention from both industry and academic communities. This paper proposes a novel neural architecture for fashion recommendation based on both image region-level features and user review information. Our basic intuition is that: for a fashion image, n... || Attention Network; 不同用户关注到的图片都parts可能会不一样；有些只关心部分，有些就会关心整体；部分和整体; || Xu Chen; Yongfeng Zhang...

WWW 23

Austin, Texas, USA,

AAAI 23

Washington, DC, USA,

SIGIR2022

Madrid, Spain, July 11th to 15th, 2022

WSDM2023

TBD,

IJCAI2022

Austria, July 23-29, 2022