In this paper, we propose a novel memory-based collaborative filtering recommendation algorithm. Our algorithm use a new metric named influence weight, which is adjusted with ze...
Understanding query reformulation patterns is a key step towards next generation web search engines: it can help improving users’ web-search experience by predicting their inten...
Paolo Boldi, Francesco Bonchi, Carlos Castillo, Se...
: Data mining is the process of posing queries and extracting patterns, often previously unknown from large quantities of data using pattern matching or other reasoning techniques....
—This paper presents an empirical study to investigate the maximum benefits that web users can expect from prefetching techniques in the current web. To this end a perfect web p...
B. de la Ossa, Julio Sahuquillo, Ana Pont, Jos&eac...
— Given a set of query interfaces from providers in the same domain (e.g., car rental), the goal is to build automatically an integrated interface that makes the access to indivi...
Eduard Constantin Dragut, Fang Fang, Clement T. Yu...
Filtering feature selection method (filtering method, for short) is a well-known feature selection strategy in pattern recognition and data mining. Filtering method outperforms ot...
Ou Wu, Haiqiang Zuo, Mingliang Zhu, Weiming Hu, Ju...
—On participatory Websites, users provide opinions about products, with both overall ratings and textual reviews. In this paper, we propose an approach to accurately estimate fea...
Chong Long, Jie Zhang, Minlie Huang, Xiaoyan Zhu, ...
—Traditional movie gross predictions are based on numerical and categorical movie data. But since the 1990s, text sources such as news have been proven to carry extra and meaning...
—In this paper, we investigate the problem of supporting keyword-based searching for the discovery of software resources that are installed on the nodes of largescale, federated ...
George Pallis, Asterios Katsifodimos, Marios D. Di...