In this paper, we describe a buzz-based recommender system based on a large source of queries in an eCommerce application. The system detects bursts in query trends. These bursts ...
In this paper, we highlight the use of multimedia technology in generating intrinsic summaries of tourism related information. The system utilizes an automated process to gather, ...
The massive distribution of the crawling task can lead to inefficient exploration of the same portion of the Web. We propose a technique to guide crawlers exploration based on the...
Current methods for finding relevant content, especially in media-rich web environments, suggest that metadata is critical for accurate and efficient information retrieval. We des...
Existing works in XML keyword search have addressed the problem of finding matching results of a query. However, user input queries always contain irrelevant or mismatched terms, ...
Jiaheng Lu, Zhifeng Bao, Tok Wang Ling, Xiaofeng M...