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视频列表页保举算法最新研讨功效整理分享

2020-8-1 20:21| 发布者: 夜的黑| 查看: 85| 评论: 0

摘要: 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 ...
视频列表页保举算法最新研讨功效整理分享__2020-8-1 20:21发布_从零开始_85

保举系统是操纵电子商务网站向客户供给商品信息和倡议,帮助用户决议应当采办什么产物,模拟销售职员帮助客户完成采办进程。本性化保举是按照用户的爱好特点和采办行为,向用户保举用户感爱好的信息和商品。

为领会决这些题目,本性化保举系统应运而生。本性化保举系统是建立在海量数据挖掘根本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供给完全本性化的决议支持和信息办事。

近几年,PGC短视频、UGC小视频以及成为用户平常时候消耗的支流,典型代表如抖音、快手、微视等,视频凡是呈视频列表页形式。本文整理了比来几年,关于视频播放列表页保举算法相关最新研讨相关论文,分享给大师。

资本整理自收集,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)

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