Recommendation algorithmuser contextsshort videotemporal contextual informationWith the popularity of 5G and the rapid development of mobile terminals, an endless stream of short video software exists. Browsing short-form mobile video in fragmented time has become the mainstream of user's life. Hence, ...
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...
Video recommendation algorithm fusing comment analysis and latent factor model[J] Journal of Computer Applications, 35 (11) (2015), pp. 3247-3251 Google Scholar 15 Lu Shengqi, Guan Lian, Jin Min, et al. The application of LDA in online video recommendation[J] Information Technology and Network...
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...
We proposed a video recommendation method based on social group information; the method can rank candidate videos from a single group as well as multiple groups that a user is affiliated with. We evaluated the proposed social-group-based video recommendation algorithm by implementing it on the Tenc...
Reach new audiences: Leverage YouTube's recommendation algorithm to find new audiences. This may be the most powerful way to reach people who might otherwise never interact with your brand. If they like your content enough, they can share it easily on social media. In fact, sharing video con...
). Recognition of digits, OCR, speech recognition, spam detection are other consolidated applications. More recently you find ML-based algorithms in fitness bands to recognize/classify the activity done by users. Netflix has created a famous recommendation engine using ML. Google uses ML extensively...
Detecting transitions between intro/credits and main content in videos is a crucial task for content segmentation, indexing, and recommendation systems.Paper Add Code FaVChat: Unlocking Fine-Grained Facail Video Understanding with Multimodal Large Language Models no code yet • 12 Mar 2025 To effec...
Such as some studies the SVM algorithm combined with a recommendation algorithm based on content, or use the BP neural network combined with collaborative filtering algorithm, to improve the algorithm accuracy. With the rapid development of Machine Learning, progresses in Deep Learning are considerable...
Therefore, short video platforms should pay more attention to the user's resistance to the recommendation algorithm (Velkova and Kaun, 2021). Managers should optimize the recommendation algorithm to find a recommendation degree suitable for users and enrich the diversity of recommendations. Second, ...