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party servers. In this paper, we discuss on the authenticated search results of some recent works and then present an improved scheme that ensures the authenticity of the search results corresponding to a search query over Internet. The improved scheme is based on the scheme [1] that uses the concept of conjunctive keyword
propose a """"Hybrid Search Engine Framework for the Internet of Things based on Spatial-Temporal, Value-based, and Keyword-based Conditions"""" (""""IoT-SVK Search Engine"""" for short). The experimental results
A critical component of today's commercial search engines is an advertisement platform. The current state-of-the-art of such platforms is primarily based on advanced keyword matching to determine the relevance of advertisements for users' queries. However, such keyword matching techniques suffer from missing user
TASTIER is a research project on the new information-access paradigm called type-ahead search, in which systems find answers to a keyword query on-the-fly as users type in the query. In this paper we study how to support fuzzy type-ahead search in TASTIER. Supporting fuzzy search is important when users have limited
keyword based search. We model the search privacy threat as an information inference problem and show how to inject noise into user queries to minimize privacy breaches. The search privacy breach is measured as the mutual information between real user queries and the diluted queries seen by search engines. We give the lower
comparison features in real time. In addition the img(Rummager) application can execute a hybrid search of images from the application server, combining keyword information and visual similarity. Also img(Rummager) supports easy retrieval evaluation based on the normalized modified retrieval rank (NMRR) and average precision
This paper proposes an inverted-index-based, practical, encrypted search engine, including encrypted index creation, search, and maintenance methods. Recently, more and more patients are placing their medical data at online third-party services, such as Google Health. If such sensitive data are stored at a semi-trusted third-party, security guarantee is necessary for assurance of data confidentiality...
ontology but it take into consideration the semantic meaning of each keyword that expected to upgrade the retrieval accuracy. Query results with an image based search sorted by the method of ranking to access more accurate results. We present a detailed architecture and design for implementation of search engine. Here the
information in a authentication way. Ontology ranked keyword search algorithm utilized to analyze and filter search queries and rank results accordingly. Users search history is stored only locally and search results are provided by the server in partiality to existing search engine history information. The search history
Internet of Things based on Spatial-Temporal, Value-based, and Keyword-based Conditions (""""IoT-SVK Search Engine""""), in this paper. The IoT-SVK search engine has satisfactory performances in supporting multi-modal retrieval conditions, and thus provides a good
Traditional behavior analysis based on the keywords or server log is so simple that it is difficult to meet the individual requirements of the user information search. This paper introduces the Multi-agent intelligent technology into four kinds of search behavior analysis, including the user search keywords, the
system. In this paper, an OntoCrawlerII based on the ontology-supported technique for webpage searching was proposed, in which scholars just need to enter some keywords and the system supported by domain ontology actively would provide comparison and verification for those keywords so as to up-rise precision rate and recall
In this paper, an OntoCrawler based on the ontology-supported technique for webpage searching was proposed, in which only user entered some keywords would the system supported by domain ontology actively provide comparison and verification for those keywords so as to up-rise precision rate of webpage searching. This
provides a novel technique for indexing the web documents based on the context of keywords that helps a search engine to serve a query with more specific documents, and relevant contents.
eDonkey has become the most reliable and popular P2P file sharing software with largest users. But currently it is still a problem that how to find resources you need exactly and quickly. The traditional searching method which is based on keywords cannot fulfill the needs of people. The effective and promising method
related query strings to Web contents. Since the search queries in the community are keywords related to information and knowledge of interest within the community, this navigation reflects implicit knowledge in the community. It is useful especially for community members who are not proficient in search. Such users can
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.