视频列表页推荐算法最新研究成果整理分享

    推荐系统是利用电子商务网站向客户提供商品信息和建议,帮助用户决定应该购买什么产品,模拟销售人员帮助客户完成购买过程。个性化推荐是根据用户的兴趣特点和购买行为,向用户推荐用户感兴趣的信息和商品。

    为了解决这些问题,个性化推荐系统应运而生。个性化推荐系统是建立在海量数据挖掘基础上的一种高级商务智能平台,以帮助电子商务网站为其顾客购物提供完全个性化的决策支持和信息服务。

    近几年,PGC短视频、UGC小视频以及成为用户日常时间消费的主流,典型代表如抖音、快手、微视等,视频通常呈视频列表页形式。本文整理了最近几年,关于视频播放列表页推荐算法相关最新研究相关论文,分享给大家。

    资源整理自网络,源地址:

https://github.com/jihoo-kim/RecSys-for-Playlist-Continuation

2018

1) Neighborhood-based approaches:

  Efficient K-NN for Playlist Continuation (RecSys'18 Challenge)

  Effective Nearest-Neighbor Music Recommendations (RecSys'18 Challenge)

  Automatic Music Playlist Continuation via Neighbor-based Collaborative Filtering and Discriminative ReweightingReranking (RecSys'18 Challenge)

  Efficient Similarity Based Methods For The Playlist Continuation Task (RecSys'18 Challenge)

2) Different approaches:

  Automatic Playlist Continuation using Subprofile-Aware Diversification (RecSys'18 Challenge)

  Random Walk with Restart for Automatic Playlist Continuation and Query-Specific Adaptations (RecSys'18 Challenge)

  Automatic playlist continuation using a hybrid recommender system combining features from text and audio (RecSys'18 Challenge)

  A Line in the Sand: Recommendation or Ad-hoc Retrieval? (RecSys'18 Challenge)

3) Neural network approaches:

  An Ensemble Approach of Recurrent Neural Networks using Pre-Trained Embeddings for Playlist Completion (RecSys'18 Challenge)

  Towards Seed-Free Music Playlist Generation Enhancing Collaborative Filtering with Playlist Title Information (RecSys'18 Challenge)

  TrailMix: An Ensemble Recommender System for Playlist Curation and Continuation (RecSys'18 Challenge)

  Using Adversarial Autoencoders for Multi-Modal Automatic Playlist Continuation (RecSys'18 Challenge)

4) Top-performing approaches:

  A hybrid two-stage recommender system for automatic playlist continuation (RecSys'18 Challenge)

  Artist-driven layering and user's behaviour impact on recommendations in a playlist continuation scenario (RecSys'18 Challenge)

  MMCF: Multimodal Collaborative Filtering for Automatic Playlist Continuation (RecSys'18 Challenge)

  Two-stage Model for Automatic Playlist Continuation at Scale (RecSys'18 Challenge)

2019

    Conferences

 Offline Evaluation to Make Decisions About Playlist Recommendation Algorithms (WSDM'19)

  Adversarial Mahalanobis Distance-based Attentive Song Recommender for Automatic Playlist Continuation (SIGIR'19)

  Social Tags and Emotions as main Features for the Next Song To Play in Automatic Playlist Continuation (UMAP'19)

    Journals

 A Hybrid Recommender System for Improving Automatic Playlist Continuation (TKDE'19)

 An Analysis of Approaches Taken in the ACM RecSys Challenge 2018 for Automatic Music Playlist Continuation (TIST'19)

2020

    Conferences

  Consistency-Aware Recommendation for User-Generated ItemList Continuation (WSDM'20)

 User Recommendation in Content Curation Platforms (WSDM'20)

往期精品内容推荐

推荐系统算法工程师培养计划

Michael Jordan-机器学习、推荐系统和AI的未来

深度学习推荐系统、CTR预估工业界实战论文整理分享

自然语言处理、计算机视觉、推荐系统、数据科学哪家强?

推荐系统原理、工程、大厂(Youtube、BAT、TMB)架构干活分享

历史最全-16个推荐系统开放公共数据集整理分享

重磅干货-史上最全推荐系统资源分享

邱锡鹏DL经典教材-《神经网络与深度学习》免费pdf及ppt分享
DL实战课程推荐-从0到1构建一个Chatbot系统

20年6月最新-《深度神经网络的高效处理技术综述》免费书分享

Yann LeCun-纽约大学2020 -《深度学习(pytorch)》中英字幕视频及ppt分享

MIT新课-《深度学习入门 2020春》视频及ppt分享

猜你喜欢

转载自blog.csdn.net/lqfarmer/article/details/107732668