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Graph Deep Learning Based Hashtag Recommender For Reels On Social Media, Sriya Balineni
Graph Deep Learning Based Hashtag Recommender For Reels On Social Media, Sriya Balineni
Master's Projects
Many businesses, including Facebook, Netflix, and YouTube, rely heavily on a recommendation system. Recommendation systems are algorithms that attempt to provide consumers with relevant suggestions for items such as movies, videos, or reels (microvideos) to watch, hashtags for their posts, songs to listen to, and products to purchase. In many businesses, recommender systems are essential because they can generate enormous amounts of revenue and make the platform stand out when compared to others. Reels are a feature of the social media platforms that enable users to create and share videos of up to sixty seconds in length. Individuals, businesses, and …
Wikipedia Web Table Interpretation, Keyword-Based Search, And Ranking, Kartikee Dabir
Wikipedia Web Table Interpretation, Keyword-Based Search, And Ranking, Kartikee Dabir
Master's Projects
Information retrieval and data interpretation on the web, for the purpose of gaining knowledgeable insights, has been a widely researched topic from the onset of the world wide web or what is today popularly known as the internet. Web tables are structured tabular data present amidst unstructured, heterogenous data on the web. This makes web tables a rich source of information for a variety of tasks like data analysis, data interpretation, and information retrieval pertaining to extracting knowledge from information present on the web. Wikipedia tables which are a subset of web tables hold a huge amount of useful data, …