We propose a novel unsupervised extractive approach for summarizing online reviews by exploiting review helpfulness ratings. In addition to using the helpfulness ratings for review-level filtering, we suggest using them as the supervision of a topic model for sentence-level content scoring. The proposed method is metadata-driven, requiring no…

With the increasing wealth of information on the Web, information integration is ubiquitous as the same real-world entity may appear in a variety of forms extracted from different sources. This dissertation proposes supervised and unsupervised algorithms that are naturally integrated in a scalable framework to solve the entity resolution problem,…

Evaluates the effectiveness of using the HTML META tag to improve retrieval of World Wide Web documents through Internet search engines. Analysis of sample searches suggests that the use of the keywords attribute in a META tag substantially improves accessibility whereas use of the description attribute alone does not. (Author/LRW)

Describes common options and features to consider in evaluating which meta search engine will best meet a searcher's needs. Discusses number and names of engines searched; other sources and specialty engines; search queries; other search options; and results options. (AEF)

The growth in the size of the Internet has resulted in much effort being spent on indexing its contents. The most popular solutions are created by automatic methods, and although offering impressive coverage, they are disappointing where precision of meaning is required. Alternative services created by human beings arrange and index resources…

The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…