A Personalized Retrieval System Based on Classification and User Query
نویسندگان
چکیده
منابع مشابه
Micro-blog Personalized Query Expansion Based on Latent Topic Classification
With the increasing maturity of Web2.0 technology and development of micro-blog, the number of micro-blog pages is exponentially rising. Only relying on the traditional micro-blog search engine has not met the requirements of users. Aiming at that the retrieval efficiency of the traditional micro-blog searching method cannot meet the requirements of users, inspired by probabilistic latent seman...
متن کاملPersonalized Multimedia Information Retrieval based on User Profile Mining
This paper focuses on how to retrieve personalized multimedia information based on user interest which can be mined from user profile. After analyzing the related works, a general structure of the personalized multimedia information retrieval system is given, which combines online module and offline module. Firstly, we collect a large-sale of photos from multimedia information sharing websites....
متن کاملResearch on User-personalized Image Retrieval Method
With the rapid expansion of information resources, the amount of image data in the network shows an explosive growth trend. The traditional search engines have not considered users’ different interests; therefore image retrieval efficiency is reduced. To solve the problem, this paper puts forward a research on user-based personalized image retrieval technologies. Firstly, this paper studies the...
متن کاملQuery Classification in Content-Based Image Retrieval
Image retrieval by using content analysis is known as a difficult task. In our previous studies [1] and [2] mixed-metrics were proposed in order to combine color and texture metrics for image retrieval task. It was shown that it is always possible to mark out the best mixed-metrics for every group of similar images and improve retrieval effectiveness. In order to get the proper mixed-metrics a ...
متن کاملAnalysis of User query refinement behavior based on semantic features: user log analysis of Ganj database (IranDoc)
Background and Aim: Information systems cannot be well designed or developed without a clear understanding of needs of users, manner of their information seeking and evaluating. This research has been designed to analyze the Ganj (Iranian research institute of science and technology database) users’ query refinement behaviors via log analysis. Methods: The method of this research is log anal...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of the Korean Society for Library and Information Science
سال: 2009
ISSN: 1225-598X
DOI: 10.4275/kslis.2009.43.3.163