短视频一般指长度在5分钟以内的视频内容。由于用户时间碎片化、移动互联网和智能手机的快速普及、制作门槛低等原因,短视频最近几年引起广泛关注。从推荐系统的角度考虑,如何设计一个推荐系统的目标,以及短视频迭代过程中沉淀的思考。短视频APP在向你展示一个大长腿/帅哥视频之前,通常既要预测你对这个视频感兴趣/不感兴...
短视频平台推荐算法(Micro-Video Recommendation) 短视频一般指长度在5分钟以内的视频内容。由于用户时间碎片化、移动互联网和智能手机的快速普及、制作门槛低等原因,短视频最近几年引起广泛关注。从推荐系统的角度考虑,如何设计一个推荐系统的目标,以及短视频迭代过程中沉淀的思考。短视频APP在向你展示一个大长腿/帅哥视...
Online Learning Platform and Video Recommendation _ _ 1 网易公开课 https://open.163.com/ 网易正式推出“全球名校视频公开课项目”,用户可以在线免费观看来自于哈佛大学等世界级名校的公开课课程,可汗学院,TED等教育性组织的精彩视频,内容涵盖人文、社会、...
短视频推荐算法旨在满足用户个性化需求，通过分析用户实时反馈和行为数据，实现精准推荐。短视频平台如快手、抖音等吸引了大量用户，用户在短时间内观看多样主题的短视频，推荐系统的任务在于针对用户反馈做出敏感准确的推荐，以提升用户体验。推荐系统的关键环节包括召回、粗排、精排和重排。模型通过预测用户对内...
说明候选item是否与一般用户偏好匹配也很重要。 依次将兴趣数量设置为 [1, 2, 4, 8, 16],进行实验。当兴趣数量是 8 效果最佳。这印证了微视频推荐场景提取多兴趣的必要性和有效性。 参考文献:Improving Micro-video Recommendation via Contrastive Multiple Interests 发布于 2022-11-11 15:55...
PROBLEM TO BE SOLVED: To provide a novel video recommendation technique for capturing a video image meeting an interest of a user, that varies each moment, and presenting the captured video image to the user.OSADA HIDENOBU長田 秀信AZUMA SHOZO...
Interactive News Video Recommendation: An Example System This position paper introduces a recommender system whichhas been developed to study research questions in the fieldof news video recommendation and personalization. Thesystem is based on semantically enriched video data andcan be seen a... F Ho...
When a user requests a video recommendation, the Application Server requests Video candidates from the Candidate Generation Model. Once it receives the candidates, it then passes the candidate list to the ranking model to get the sorting order. The ranking model estimates the watch probability and ...
With Internet delivery of video content surging to an unprecedented level, video recommendation, which suggests relevant videos to targeted users according to their historical and current viewings or preferences, has become one of most pervasive online video services. This article present...
视频推荐已经成为了帮助人们在海量视频中寻找感兴趣视频的必不可少的(essential)方法,现有的视频推荐系统中的用户视频(user-video)之间的交互和单个指定内容的特征(single specific content features)进行推荐,然而如果指定内容的特征不可用的时候,模型的效果大大降低,受视频中的内容例如文本、动作、音频等的启发,本文介绍...