Search engines are widely used in our daily life. Batch evaluation of the performance of
search systems to their users has always been an essential issue in the field of information …

Promoting diversity in ranking while maintaining the relevance of ranked results is critical for
enhancing human-centered search systems. While existing ranking algorithm and diversity …

Neural ranking models have recently gained much attention in Information Retrieval
community and obtain good ranking performance. However, most of these retrieval models …

Reward-based e-commerce companies expose thousands of online o ers and coupons
every day. Customers who signed up for online coupon services either receive a daily digest …

Ontology search and ranking are key building blocks to establish and reuse shared
conceptualizations of domain knowledge on the Web. However, the effectiveness of …

Search engines are widely used in our daily life. Batch evaluation of the performance of
search systems to their users has always been an essential issue in the field of information …

Information retrieval researchers often use eye-tracking to gain insights into searchers'
decision making processes. In this paper, we present a visualizing method for summarizing …

Neural ranking models have recently gained much attention in information retrieval (IR)
community and obtain good ranking performance. However, most of these retrieval models …

The vision of the Internet of Things (IoT) promises novel, intelligent applications to improve
services across all industries and domains. Efficient data and service discovery are crucial to …