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pro vyhledávání: '"Karra, Saketh Reddy"'
Weblogs, comprised of records detailing user activities on any website, offer valuable insights into user preferences, behavior, and interests. Numerous recommendation algorithms, employing strategies such as collaborative filtering, content-based fi
Externí odkaz:
http://arxiv.org/abs/2403.00822
Assortment planning, integral to multiple commercial offerings, is a key problem studied in e-commerce and retail settings. Numerous variants of the problem along with their integration into business solutions have been thoroughly investigated in the
Externí odkaz:
http://arxiv.org/abs/2311.12241
Technology for open-ended language generation, a key application of artificial intelligence, has advanced to a great extent in recent years. Large-scale language models, which are trained on large corpora of text, are being used in a wide range of ap
Externí odkaz:
http://arxiv.org/abs/2204.12000
We address the problem of maximizing user engagement with content (in the form of like, reply, retweet, and retweet with comments)on the Twitter platform. We formulate the engagement forecasting task as a multi-label classification problem that captu
Externí odkaz:
http://arxiv.org/abs/2104.00801
We study the problem of modeling purchase of multiple products and utilizing it to display optimized recommendations for online retailers and e-commerce platforms. We present a parsimonious multi-purchase family of choice models called the Bundle-MVL
Externí odkaz:
http://arxiv.org/abs/2006.08055
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