The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Relevance is one of the most interesting topics in the information retrieval domain. In this paper, we introduce another method of relevance calculation. We propose to use the implicit opinion of users to calculate relevance. The Implicit judgment of users is injected to the documents by calculating different kinds of weighting. These latter touch several criteria like as user's weight in the query's...
Measuring "similarity" has been established as afundamental problem and has been widely studied. In thispaper we propose a novel approach for establishing similarityin context of citation network. With the rapidly growing sizeof academic literature, the problem of finding similar researchpapers has become a challenging task. Research papers in acitation network often form communities based...
In Collaborative Information Retrieval, we construct formal concept lattices for a number of sub-text databases by the incremental update algorithms for generating the lattices algorithm. Then, respectively, we obtained the new formal concepts by merging the temporary formal concepts which are from the different lattices by measuring similarity between formal concepts and next, matching the new concepts...
Context-awareness is becoming an important foundation of adaptive mobile systems, however, techniques for discovering contextually relevant Web content and Smart Devices (i.e., Smart Resources) remain consigned to small-scale deployments. To address this limitation, this paper introduces Ambient Ocean, a Web search engine for context-aware Smart Resource discovery. Ocean provides scalable mechanisms...
Most information seeking and retrieval systems are designed for individual use, and prototype collaborative systems are too limited to support use in heterogeneous environments. Easy Access to Digital Libraries (ezDL) attempts to bridge this gap by integrating familiar information sharing and management functions with communication tools into a flexible, scalable network in which individuals and groups...
With the rapid development of Internet, how to obtain and represent personalized information in user's activity of information seeking is a key issue in information retrieval. This paper presents a novel method to build personalized search context which represents semantic background in user's information seeking. Search context is composed of terms and semantic relation which is extracted based on...
Complex service-oriented systems typically span interactions between people and services. Compositions in such systems demand for flexible interaction models. In this work we introduce an approach for discovering experts based on their dynamically changing skills and interests. We discuss human provided services and an approach for managing user preferences and network structures. Experts offer their...
The main problem of tag-based search in collaborative tagging system (CTS) is the lack of explicit semantic relations between tags. To address this problem, we propose an approach based on the integration of symmetrical and asymmetrical similarity measures to calibrate the relatedness between tags and then further organize them into an ontological structure. We also demonstrate how this extracted...
This paper deals with clustering for multi-view data, i.e. objects described by several sets of variables or proximity matrices. Many important domains or applications such as information retrieval, biology, chemistry and marketing are concerned by this problematic. The aim of this data mining research field is to search for clustering patterns that perform a consensus between the patterns from different...
Every modern portal ships with some form of internal document library portlet tools that can be used to enable groups to share files. Unfortunately, certain limitations - that the portlet can only view data managed directly by the portal and that document and data files are the only resource that can be browsed - make these tools less valuable in many real-world collaborations. This paper describes...
The proliferation of social Web technologies such as collaborative tagging has led to an increasing awareness of their vulnerability to misuse. Attackers may attempt to distort the system's adaptive behavior by inserting erroneous or misleading annotations, thus altering the way in which information is presented to legitimate users. Prior work on recommender systems has shown that studying different...
Significant amount of text-based knowledge is created in collaborative Web-based environments in the context of education. In order to efficiently utilize all this information, there is a need to provide the users with an easy access to the information they are interested in. To achieve this, various methods of information retrieval (IR) can be used. We analyze six different algorithms for seeking...
Musical games and social interaction music-based platform are getting always more users, which are attracted by tools to easily organize and retrieval the music contents, and by an active participation in the fruition process. In this context Web 2.0 technologies play an important role in facilitating collaborative creation, active participation, and the sharing of music contents to the large users...
In this paper, we explain a user centered approach to collaborative information retrieval where the focus is not only on the system but on the users' interactions in solving an information problem. Our approach consists in facilitating knowledge sharing among users during information retrieval process through annotation and interpersonal communication. We created an environment for users to share...
In order to evaluate information retrieval algorithms it is imperative to use a dataset as a test database. However, access to such datasets is often difficult and expensive, since building them is a time-consuming and costly task. This paper presents a collaborative approach to dataset creation that uses a data quality evaluation technique based on fuzzy theory, to assist users in selecting suitable...
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.