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We introduce an application combining CBR and collaborative filtering techniques in the music domain. We describe a scenario in which a new kind of recommendation is required, which is capable of summarizing many recommendations in one suggestion. Our claim is that recommending one set of goods is different from recommending a single good many times. The paper illustrates how a case-based reasoning...
This paper illustrates how the Case Based Reasoning (CBR) paradigm has been applied to the definition of the requirements and the specifications of a Knowledge Management technology supporting the handling of tuning and anomalies in production processes. In particular, the production of truck tyres will be illustrated as the application domain of the proposed approach. This domain is a paradigmatic...
This paper describes an innovative application of Case-Based Reasoning methodologies for the dynamic management of wireless telecommunications systems. In spite of the very dynamic nature of mobile communications, wireless networks only possess limited adaptive management capabilities, which are unable to adequately follow traffic fluctuations through flexible and real-time resource assignment reconfigurations...
This paper describes a case-based approach to user profiling in a Personal Travel Assistant (based on the 1998 FIPA Travel Scenario). The approach is novel in that the user profile is made up of a set of cases capturing previous interactions rather than as a single composite case. This has the advantage that the profile is always up-to-date and also allows for the borrowing of cases from similar users...
A hybrid neuro-symbolic problem solving model is presented in which the aim is to forecast parameters of a complex and dynamic environment in an unsupervised way. In situations in which the rules that determine a system are unknown, the prediction of the parameter values that determine the characteristic behaviour of the system can be a problematic task. The proposed system employs a case-based reasoning...
Software design patterns are used in software engineering as a way to improve and maintain software systems. Patterns are abstract solutions to problem categories, and they describe why, how, and when can a pattern be applied. Their description is based on natural language, which makes the automation of design patterns a difficult task. In this paper we present an approach for automation of design...
In this paper, a new approach is proposed for transformational adaptation based on detecting a solution’s incompatibility regarding the new problem situation and trying to overcome the incompatibility in an iterative manner. By incompatibility, we mean a state for which the required objectives are not satisfied due to any change in the status of the constraints. Based upon this approach, we have proposed...
This paper describes a CBR application in manufacturing industry, a domain where CBR has by and large proved its applicability and success. The paper details a thorough understanding of the field of fused cast manufacturing basically seen from the perspective of glass furnace, where quality of glass produced is straightaway related to the refractory blocks used in furnace linings. The applicability...
Recommender systems combine user profiling and filtering techniques to provide more pro-active and personal information retrieval systems, and have been gaining in popularity as a way of overcoming the ubiquitous information overload problem. Many recommender systems operate as interactive systems that seek feedback from the end-user as part of the recommendation process to revise the user’s query...
Estuaries are complex natural water systems. Their behaviour depend on many factors, which are possible to analyse only by adopting different study approaches. The physical processes within estuaries, such as floods and pollutant dispersion, are generally investigated through computer modelling. In this paper the application of case-based reasoning technology to support the design of estuarine models...
The development of an automatic image classification system is a hard problem since such a system must imitate the visual strategy of a human expert when interpreting the particular image. Usually it is not easy to make this strategy explicit. Rather than describing the visual strategy and the image features human are able to judge the similarity between the objects. This judgement can be the basis...
This paper presents a web based recommender system aimed at supporting a user in information filtering and product bundling. The system enables the selection of travel locations, activities and attractions, and supports the bundling of a personalized travel plan. A travel plan is composed in a mixed initiative way: the user poses queries and the recommender exploits an innovative technology that helps...
The growing complexity of today’s electronic designs requires reusing existing design components, called Intellectual Properties (IPs). Experience management approaches can be used to support design reuse, particularly the process of selecting reusable IPs. For the IP selection, quality criteria concerning the IP code and the documentation must be considered in addition to functional requirements...
Land development control is the process of controlling land development to meet the needs of the society. In this paper, we attempt to advance the use of case-based reasoning in building a case-based decision support system for land development control. Land development control is a complex domain. We first discuss how to deal with the data and knowledge involved in land development control in order...
This paper describes two different approaches for incorporating background knowledge into nearest-neighbor text classification. Our first approach uses background text to assess the similarity between training and test documents rather than assessing their similarity directly. The second method redescribes examples using Latent Semantic Indexing on the background knowledge, assessing document similarities...
Over the previous two years I have collected case-studies of successfully fielded commercial knowledge management systems that use case-based reasoning (CBR). These case-studies have been collated into a book to be published by Morgan Kaufmann in November 20021. This paper summarises the findings of the book, showing that CBR is ideally suited to the creation of knowledge management systems. This...
In this paper we present an algorithm called DerUCP, which can be regarded as a general model for plan adaptation using Derivational Analogy. Using DerUCP, we show that previous results on the complexity of plan adaptation do not apply to Derivational Analogy. We also show that Derivational Analogy can potentially produce exponential reductions in the size of the search space generated by a planning...
We present adapted inductive methods for learning similarities, parameter weights and diagnostic profiles for case-based reasoning. All of these methods can be refined incrementally by applying different types of background knowledge. Diagnostic profiles are used for extending the conventional CBR to solve cases with multiple faults. The context of our work is to supplement a medical documentation...
We describe Order-Based Retrieval, which is an approach to case retrieval based on the application of partial orders to the case base. We argue that it is well-suited to product recommender applications because, as well as retrieving products that best match customer-specified ‘ideal’ attribute-values, it also: allows the customer to specify soft constraints; gives a natural semantics and implementation...
The amount and availability of high-quality geo-spatial image data, such as digital satellite and aerial photographs, is increasing dramatically. Task-based management of such visual information and associated knowledge is a central concern for organisations that rely on digital imagery. We are developing geo-spatial knowledge management techniques that employ case-based reasoning as the core methodology...
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