Browsing by Subject "Recommender Systems"
Now showing items 1-5 of 5
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(2021-03-22)Recommender systems have been existing accompanying by web development, driving personalized experience for billions of users. They play a vital role in the information retrieval process, overcome the information overload ...
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Auxiliary Task Learning has proven to be an effective way to transfer knowledge between tasks. This is the case in many personalized recommendation scenarios, where many auxiliary tasks can boost the performance of the ...
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(2022-01-11)Explosive growth in the amount of information has infiltrated every aspect of our lives. Recommender systems, as an effective tool to filter information, have become prevalent and influential in many domains. This dissertation ...
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(2020-04-23)Bandit learning has been widely applied to handle the exploration-exploitation dilemma in sequential decision problems. To solve the dilemma, a large number of bandit algorithms have been proposed. While many of these ...
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(2015-04-02)Today, online recruiting web sites such as Monster and Indeed.com have become one of the main channels for people to find jobs. These web platforms have provided their services for more than ten years, and have saved a lot ...