Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Jadda, Khalifeh Al"'
Autor:
Zhou, Jianghong, Zahiri, Sayyed M., Hughes, Simon, Jadda, Khalifeh Al, Kallumadi, Surya, Agichtein, Eugene
Users' clicks on Web search results are one of the key signals for evaluating and improving web search quality and have been widely used as part of current state-of-the-art Learning-To-Rank(LTR) models. With a large volume of search logs available fo
Externí odkaz:
http://arxiv.org/abs/2105.10072
Product feature recommendations are critical for online customers to purchase the right products based on the right features. For a customer, selecting the product that has the best trade-off between price and functionality is a time-consuming step i
Externí odkaz:
http://arxiv.org/abs/2105.00867
Autor:
Guo, Mingming, Yan, Nian, Cui, Xiquan, Wu, San He, Ahsan, Unaiza, West, Rebecca, Jadda, Khalifeh Al
Alternative recommender systems are critical for ecommerce companies. They guide customers to explore a massive product catalog and assist customers to find the right products among an overwhelming number of options. However, it is a non-trivial task
Externí odkaz:
http://arxiv.org/abs/2104.07572
For e-commerce companies with large product selections, the organization and grouping of products in meaningful ways is important for creating great customer shopping experiences and cultivating an authoritative brand image. One important way of grou
Externí odkaz:
http://arxiv.org/abs/2104.05504
We present an ensemble approach for categorizing search query entities in the recruitment domain. Understanding the types of entities expressed in a search query (Company, Skill, Job Title, etc.) enables more intelligent information retrieval based u
Externí odkaz:
http://arxiv.org/abs/1604.00933