Our integral video recommendation algorithm consists of these two algorithms. The experimental results indicate that the performance and effectiveness of our algorithm are better than those of two classical video recommendation algorithms (i.e., user-based collaborative filtering algorithm and TBR-d ...
A video recommendation algorithm based on the combination of video content and social network Recently, social network has been one of the biggest information exchange platforms of the Internet. Moreover, the users in social network used to watch vi... L Cui,L Dong,X Fu,... - 《Concurrency...
Therefore, this paper gives an improved video recommendation algorithm that is based on the hyperlink-graph model. This method cannot only improve the accuracy of the recommendations, but also reduce the running time. Furthermore, the Internet users may have many different interests. For example, ...
the relevance of these videos depends strongly on the type of group the videos originate from. We propose an algorithm for ranking candidate videos from different groups and identifying the topRvideos for recommendation.Footnote2This is done in two steps. First, videos from a single group...
WeChat video account recommendation algorithm Engineer Tencent Holdings Limited 3.83.8 星,满分 5 星 北京市 地点 北京市 完整的职位描述 Roles & Responsibilities 1. Responsible for the video number Establish and optimize the recommendation system for new businesses under the system, includ...
To select high-quality candidate videos for real-time top-N recommendation generation, we utilize additional factors like video type and time factor to compute similar videos. In addition, we propose the scalable implementation of our algorithm together with some optimizations to make the ...
forpersonalizedvideorecommendationbasedontheweight incrementandsimilaraggregationuserbehavioranalysisalgorithm.Themethodisimplementedinthreesteps: first,theuserbehaviorisanalyzedusingtheRFM(Recentness,Frequency,Monetaryamount)model,userswith thesamebehaviorareclassifiedasagroup;second,theApriorialgorithmbasedonweight...
In this study, we design on ontology which combined with social networks or video recommendation. Users and their friend's data will be added to the ontology. According to user and friend's preferences, the system calculates the similarity of interests. The system uses a rule generating ...
The current recommendation deduplication is implemented based on Redis Zset. The server will write the video reported by the buried point and the video sent to the client into Redis ZSet with different keys. The recommendation algorithm directly reads the playback of the corresponding user in Redis...
In this paper we aim to resolve the recommendation problem by using the virtual ratings in online environments when user rating information is not available. As a matter of fact, in most of current websites especially the Chinese video-sharing ones, the traditional pure rating based collaborative...