Personalization of Parliamentary Document Retrieval Using Different User Profiles
نویسندگان
چکیده
Owing to the information overload we are faced with nowadays, personalization approaches are becoming almost a must, in order to provide relevant information for users. These personalization techniques retrieve results closer to the user interests and preferences, by using the information stored in the user profile. We have carried out a comparative study between six different user profile representation approaches, based on the content of the documents of the Andalusian Parliament, obtaining quite good personalized performance results and some interesting conclusions about the goodnesses of these content-based approaches.
منابع مشابه
A personalized search using a semantic distance measure in a graph-based ranking model
The goal of search personalization is to tailor search results to individual users by taking into account their profiles, which include their particular interests and preferences. As these latter are multiple and changing over time, personalization becomes effective when the search process takes into account the current user interest. This paper presents a search personalization approach that m...
متن کاملA Semantic Content-based Recommender System for Cross-Language Personalization
The exponential growth of the Web is the most influential factor that contributes to the increasing importance of crosslingual text retrieval and filtering systems. Indeed, relevant information exists in different languages, thus users need to find documents in languages different from the one the query is formulated in. In this context, an emerging requirement is to sift through the increasing...
متن کاملUsing Interactive Search Elements in Digital Libraries
Background and Aim: Interaction in a digital library help users locating and accessing information and also assist them in creating knowledge, better perception, problem solving and recognition of dimension of resources. This paper tries to identify and introduce the components and elements that are used in interaction between user and system in search and retrieval of information in digital li...
متن کاملPersonalized User Preference Mining from Weblogs by Agglomerative Concept Clustering
––Current web search engines are built to serve all users, independent of the needs of any individual user. Search Engine personalization is to carry out retrieval for each user incorporating his/her interests based on the user profiles. Although personalized search has been proposed for many years and many personalization strategies have been investigated, it is still unclear whether personali...
متن کاملUser Personalization via W-kmeans
With the rapid explosion of online news articles, predicting userbrowsing behavior using collaborative filtering techniques has gained much attention in the web personalization area. However, common collaborative filtering techniques suffer from low accuracy and performance. This research proposes a new personalized recommendation approach that integrates user and text clustering based on our d...
متن کامل