Automatic summarization [5] can be defined as the procedure to create a short version of a text by a computer program. Its product still contains the most important points of the existing text. Multi-document summarization [6] can be defined as an automatic procedure which extracts information from multiple texts that is written about the same topic. Resulting summary report allows individual u...

In this paper, we design a location-aware keyword query suggestion framework. We propose a weighted keyword-document graph, which captures both the semantic relevance between keyword queries and the spatial distance between the resulting documents and the user location. The graph is browsed in a randomwalk-with-restart fashion, to select the keyword queries with the highest scores as suggestion...

For many practical applications of keyword spotting, input signal is a spontaneous conversation while the acoustic model was trained with read speech because of data availability. Generally speaking, keyword spotting system will degrade significantly because of mismatch between acoustic model and spontaneous speech. To solve this problem, this paper presents a two-pass keyword spotting strategy...

Search-based advertising is a multi-billion industry which is part of the growing electronic commerce market. In this work, we study the search-based advertising market from the advertiser’s point of view. There are three natural participants in the search-based advertising: the advertisers, promoting their products to consumers based on their search queries, the users, which are searching for ...

To improve the results from search engines and make them more personalized for the user, we need to find out about the interests of a particular user. Many of the search personalization methods analyse documents visited by the user and from these documents infer the user’s interests. However, this approach is not accurate, because the user is rarely interested in the whole document; he might be...

Original scientific paper Keyword search on XML database has attracted a lot of research interests. As XML documents are very different from flat documents, effective search of XML documents needs special considerations. Traditional bag-of-words model does not take the roles of keywords and the relationship between keywords into consideration, and thus is not suited for XML keyword search. In t...

Currently, cloud computing has become increasingly popular and thus, many people institutions choose to put their data into the instead of local environments. Given massive amount fidelity servers, adequate security protection efficient retrieval mechanisms for stored have critical problems. Attribute-based encryption brings ability fine-grained access control can achieve a direct encrypted sea...