Towards user profiling for web recommendation

Collaborative recommendation is one of widely used recommendation systems, which recommend items to visitor on a basis of referring other's preference that is similar to current user. User profiling technique upon Web transaction data is able to capture such informative knowledge of user task or interest. With the discovered usage pattern information, it is likely to recommend Web users more preferred content or customize the Web presentation to visitors via collaborative recommendation. In addition, it is helpful to identify the underlying relationships among Web users, items as well as latent tasks during Web mining period. In this paper, we propose a Web recommendation framework based on user profiling technique. In this approach, we employ Probabilistic Latent Semantic Analysis (PLSA) to model the co-occurrence activities and develop a modified k-means clustering algorithm to build user profiles as the representatives of usage patterns. Moreover, the hidden task model is derived by characterizing the meaningful latent factor space. With the discovered user profiles, we then choose the most matched profile, which possesses the closely similar preference to current user and make collaborative recommendation based on the corresponding page weights appeared in the selected user profile. The preliminary experimental results performed on real world data sets show that the proposed approach is capable of making recommendation accurately and efficiently.

A CONCEP����O DE DOC��NCIA NO INSTITUTO DE QU��MICA DA UNIVERSIDADE DE S��O PAULO: PROFESSOR OU PESQUISADOR?

Este estudo tem a finalidade de contribuir para a compreens��o da concep����o de doc��ncia que se articulou em um dos espa��os de uma das maiores universidades brasileiras, a Universidade de S��o Paulo, ou seja, o Instituto de Qu��mica, conhecido como IQ-USP. Nessa perspectiva, o IQ-USP ��, portanto, destacado como o objeto de estudo desta pesquisa, uma vez que sua hist��ria se entrela��a com a pr��pria cria����o da Universidade e seu paradigma cient��fico est�� centrado no perfil de an��lise determinado por este trabalho: a ��rea de conhecimento das ci��ncias exatas. Partindo do pressuposto que a concep����o de como se deve constituir o ensino superior est�� intrinsecamente relacionada com a vis��o de mundo, de conhecimento e de educa����o elaborada pela pr��pria trajet��ria hist��rica da universidade, mas tamb��m pelas rela����es que esta estabelece com a comunidade, durante todo o seu processo de a����o , �� poss��vel dizer que tais cren��as e valores, selecionados e hierarquizados pela comunidade acad��mica, acabam por intervir na forma����o espec��fica de seus professores. Destaca-se, assim, sob o olhar da pesquisa qualitativa, o estudo a respeito da trajet��ria de forma����o do profissional docente que se constitui ao longo da hist��ria da pr��pria Universidade em que esse est�� inserido e que subsidia a sua concep����o de ser docente. Nessa perspectiva, alguns autores trazem muitas contribui����es para o esclarecimento da concep����o de doc��ncia impl��cita na forma����o do professor universit��rio e seus reflexos na pr��tica docente cotidiana. Entre estes autores, destacamos o pensamento de Paschoal Senise (2006), Maria Isabel da Cunha (2007), Heladio C��sar G. Antunha (1974) e J. Gimeno Sacrist��n (1998 e 1999). A coleta de dados foi realizada utilizando-se documentos hist��ricos e informativos, como tamb��m entrevistas semi-estruturadas, em uma abordagem sempre qualitativa, uma vez que esta nos fornece melhores condi����es de entendimento dos aspectos subjetivos de que se reveste a problem��tica da pesquisa. Fundamentado nos dados levantados e analisados �� luz da contribui����o te��rica dos autores referenciados neste trabalho, refor��amos a conclus��o de que a institui����o faz o profissional, evidenciando-se na forma����o do docente do IQ-USP a tradi����o e a inova����o, dialeticamente, caminhando juntas.(AU)

The knowledge competitiveness of regional economies: conceptualisation and measurement

Whereas the competitive advantage of firms can arise from size and position within their industry as well as physical assets, the pattern of competition in advanced economies has increasingly come to favour those firms that can mobilise knowledge and technological skills to create novelty in their products. At the same time, regions are attracting growing attention as an economic unit of analysis, with firms increasingly locating their functions in select regions within the global space. This article introduces the concept of knowledge competitiveness, defined as an economy���s knowledge capacity, capability and sustainability, and the extent to which this knowledge is translated into economic value and transferred into the wealth of the citizens. The article discusses the way in which the knowledge competitiveness of regions is measured and further introduces the World Knowledge Competitiveness Index, which is the first composite and relative measure of the knowledge competitiveness of the globe���s best performing regions.

Regional benchmarking in a global context:knowledge, competitiveness, and economic development

Benchmarking exercises have become increasingly popular within the sphere of regional policy making. However, most exercises are restricted to comparing regions within a particular continental bloc or nation.This article introduces the World Knowledge Competitiveness Index (WKCI), which is one of the very few benchmarking exercises established to compare regions across continents.The article discusses the formulation of the WKCI and analyzes the results of the most recent editions.The results suggest that there are significant variations in the knowledge-based regional economic development models at work across the globe. Further analysis also indicates that Silicon Valley, as the highest ranked WKCI region, holds a unique economic position among the globe���s leading regions. However, significant changes in the sources of regional competitiveness are evolving as a result of the emergence of new regional hot spots in Asia. It is concluded that benchmarking is imperative to the learning process of regional policy making.

Semantic and organization considerations in database conceptual modelling : the Semantic Conceptual Organizational Model (SECOM)

This thesis presents a new approach to designing large organizational databases. The approach emphasizes the need for a holistic approach to the design process. The development of the proposed approach was based on a comprehensive examination of the issues of relevance to the design and utilization of databases. Such issues include conceptual modelling, organization theory, and semantic theory. The conceptual modelling approach presented in this thesis is developed over three design stages, or model perspectives. In the semantic perspective, concept definitions were developed based on established semantic principles. Such definitions rely on meaning - provided by intension and extension - to determine intrinsic conceptual definitions. A tool, called meaning-based classification (MBC), is devised to classify concepts based on meaning. Concept classes are then integrated using concept definitions and a set of semantic relations which rely on concept content and form. In the application perspective, relationships are semantically defined according to the application environment. Relationship definitions include explicit relationship properties and constraints. The organization perspective introduces a new set of relations specifically developed to maintain conformity of conceptual abstractions with the nature of information abstractions implied by user requirements throughout the organization. Such relations are based on the stratification of work hierarchies, defined elsewhere in the thesis. Finally, an example of an application of the proposed approach is presented to illustrate the applicability and practicality of the modelling approach.

Are we on the same page? Knowledge boundaries and transactive memory system development in cross-functional teams

One of the key challenges that organizations face when trying to integrate knowledge across different functions is the need to overcome knowledge boundaries between team members. In cross-functional teams, these boundaries, associated with different knowledge backgrounds of people from various disciplines, create communication problems, necessitating team members to engage in complex cognitive processes when integrating knowledge toward a joint outcome. This research investigates the impact of syntactic, semantic, and pragmatic knowledge boundaries on a team���s ability to develop a transactive memory system (TMS)���a collective memory system for knowledge coordination in groups. Results from our survey show that syntactic and pragmatic knowledge boundaries negatively affect TMS development. These findings extend TMS theory beyond the information-processing view, which treats knowledge as an object that can be stored and retrieved, to the interpretive and practice-based views of knowledge, which recognize that knowledge (in particular specialized knowledge) is localized, situated, and embedded in practice.

Semantic search meets the Web

While semantic search technologies have been proven to work well in specific domains, they still have to confront two main challenges to scale up to the Web in its entirety. In this work we address this issue with a novel semantic search system that a) provides the user with the capability to query Semantic Web information using natural language, by means of an ontology-based Question Answering (QA) system [14] and b) complements the specific answers retrieved during the QA process with a ranked list of documents from the Web [3]. Our results show that ontology-based semantic search capabilities can be used to complement and enhance keyword search technologies.

About Ontology Application to the Description of Syllabus

Publication describes the experience in application of ontology technique to structuring of educational materials. Several topics of physics were formalized by means of Prot��g�� software tool. Some principal problems in building of knowledge structure were found, so the discussion may interest not only ontology users, but also the developers of ontology tools.

Information Processing in a Cognitive Model of NLP

A model of the cognitive process of natural language processing has been developed using the formalism of generalized nets. Following this stage-simulating model, the treatment of information inevitably includes phases, which require joint operations in two knowledge spaces ��� language and semantics. In order to examine and formalize the relations between the language and the semantic levels of treatment, the language is presented as an information system, conceived on the bases of human cognitive resources, semantic primitives, semantic operators and language rules and data. This approach is applied for modeling a specific grammatical rule ��� the secondary predication in Russian. Grammatical rules of the language space are expressed as operators in the semantic space. Examples from the linguistics domain are treated and several conclusions for the semantics of the modeled rule are made. The results of applying the information system approach to the language turn up to be consistent with the stages of treatment modeled with the generalized net.

Ontology-based Classification of News in an Electronic Newspaper

This paper deals with the classification of news items in ePaper, a prototype system of a future personalized newspaper service on a mobile reading device. The ePaper system aggregates news items from various news providers and delivers to each subscribed user (reader) a personalized electronic newspaper, utilizing content-based and collaborative filtering methods. The ePaper can also provide users "standard" (i.e., not personalized) editions of selected newspapers, as well as browsing capabilities in the repository of news items. This paper concentrates on the automatic classification of incoming news using hierarchical news ontology. Based on this classification on one hand, and on the users' profiles on the other hand, the personalization engine of the system is able to provide a personalized paper to each user onto her mobile reading device.

Semantic patterns for sentiment analysis of Twitter

Most existing approaches to Twitter sentiment analysis assume that sentiment is explicitly expressed through affective words. Nevertheless, sentiment is often implicitly expressed via latent semantic relations, patterns and dependencies among words in tweets. In this paper, we propose a novel approach that automatically captures patterns of words of similar contextual semantics and sentiment in tweets. Unlike previous work on sentiment pattern extraction, our proposed approach does not rely on external and fixed sets of syntactical templates/patterns, nor requires deep analyses of the syntactic structure of sentences in tweets. We evaluate our approach with tweet- and entity-level sentiment analysis tasks by using the extracted semantic patterns as classification features in both tasks. We use 9 Twitter datasets in our evaluation and compare the performance of our patterns against 6 state-of-the-art baselines. Results show that our patterns consistently outperform all other baselines on all datasets by 2.19% at the tweet-level and 7.5% at the entity-level in average F-measure.

World coffee markets and national coffee parastatals since 1989: A comparative study of Colombia and Cote d'Ivoire

The International Coffee Agreements (ICA) involved the majority of nations producing and consuming coffee and provided relative economic stability to the coffee sectors of the exporting Third World countries. This study focuses on the serious impact of the 1989 collapse of the ICA on the domestic coffee sectors of Colombia and C��te d'Ivoire. In particular, the dissertation examines the role of the Colombian and Ivoirian coffee parastatals, the Federacion Nacional de Cafeteros de Colombia and the Caisse de Stabilisation et Soutien des Prix des Produits Agricoles, during the crisis and their transformation by it. ^ The theoretical framework employed in this study is borrowed from the literature on state-society relations. The methodology includes: in-depth analysis of the historical roles of the parastatal agencies in coffee production, state-society relations and economic development in Colombia and C��te d'Ivoire; interviews with parastatal administrators, producers and other knowledgeable informants in both countries; and a comprehensive review of newspaper articles and official statements of coffee policy published in Colombia and C��te d'Ivoire. prior to, during, and after the crisis. ^ The Colombian and Ivoirian coffee sectors and their producers faced serious economic and social problems following the drop in coffee prices. The coffee parastatals in Colombia and C��te d'lvoire first lost some of their responsibilities following the world coffee crisis. The Caisse was in the end eliminated while FEDECAFE struggled to remain in existence. Along the way, both entities faced protests from disgruntled coffee producers, who organized politically for the first time in their nations' histories. I argue that the outcome for the parastatals depended in part on the conditions of their formation, particularly the level of societal involvement in their creation. I also posit that the country's dependence on foreign aid played a key role in the fate of the parastatals. ^ This dissertation concludes that developments in the Colombian and Ivoirian coffee sectors have significantly contributed to the creation of the difficult political and economic conditions of both countries today. ^

Integration and querying of heterogeneous, autonomous, distributed database systems

Today, databases have become an integral part of information systems. In the past two decades, we have seen different database systems being developed independently and used in different applications domains. Today's interconnected networks and advanced applications, such as data warehousing, data mining & knowledge discovery and intelligent data access to information on the Web, have created a need for integrated access to such heterogeneous, autonomous, distributed database systems. Heterogeneous/multidatabase research has focused on this issue resulting in many different approaches. However, a single, generally accepted methodology in academia or industry has not emerged providing ubiquitous intelligent data access from heterogeneous, autonomous, distributed information sources. ^ This thesis describes a heterogeneous database system being developed at High-performance Database Research Center (HPDRC). A major impediment to ubiquitous deployment of multidatabase technology is the difficulty in resolving semantic heterogeneity. That is, identifying related information sources for integration and querying purposes. Our approach considers the semantics of the meta-data constructs in resolving this issue. The major contributions of the thesis work include: (i) providing a scalable, easy-to-implement architecture for developing a heterogeneous multidatabase system, utilizing Semantic Binary Object-oriented Data Model (Sem-ODM) and Semantic SQL query language to capture the semantics of the data sources being integrated and to provide an easy-to-use query facility; (ii) a methodology for semantic heterogeneity resolution by investigating into the extents of the meta-data constructs of component schemas. This methodology is shown to be correct, complete and unambiguous; (iii) a semi-automated technique for identifying semantic relations, which is the basis of semantic knowledge for integration and querying, using shared ontologies for context-mediation; (iv) resolutions for schematic conflicts and a language for defining global views from a set of component Sem-ODM schemas; (v) design of a knowledge base for storing and manipulating meta-data and knowledge acquired during the integration process. This knowledge base acts as the interface between integration and query processing modules; (vi) techniques for Semantic SQL query processing and optimization based on semantic knowledge in a heterogeneous database environment; and (vii) a framework for intelligent computing and communication on the Internet applying the concepts of our work. ^

Next generation of recommender systems: Algorithms and applications

Personalized recommender systems aim to assist users in retrieving and accessing interesting items by automatically acquiring user preferences from the historical data and matching items with the preferences. In the last decade, recommendation services have gained great attention due to the problem of information overload. However, despite recent advances of personalization techniques, several critical issues in modern recommender systems have not been well studied. These issues include: (1) understanding the accessing patterns of users (i.e., how to effectively model users' accessing behaviors); (2) understanding the relations between users and other objects (i.e., how to comprehensively assess the complex correlations between users and entities in recommender systems); and (3) understanding the interest change of users (i.e., how to adaptively capture users' preference drift over time). To meet the needs of users in modern recommender systems, it is imperative to provide solutions to address the aforementioned issues and apply the solutions to real-world applications. ^ The major goal of this dissertation is to provide integrated recommendation approaches to tackle the challenges of the current generation of recommender systems. In particular, three user-oriented aspects of recommendation techniques were studied, including understanding accessing patterns, understanding complex relations and understanding temporal dynamics. To this end, we made three research contributions. First, we presented various personalized user profiling algorithms to capture click behaviors of users from both coarse- and fine-grained granularities; second, we proposed graph-based recommendation models to describe the complex correlations in a recommender system; third, we studied temporal recommendation approaches in order to capture the preference changes of users, by considering both long-term and short-term user profiles. In addition, a versatile recommendation framework was proposed, in which the proposed recommendation techniques were seamlessly integrated. Different evaluation criteria were implemented in this framework for evaluating recommendation techniques in real-world recommendation applications. ^ In summary, the frequent changes of user interests and item repository lead to a series of user-centric challenges that are not well addressed in the current generation of recommender systems. My work proposed reasonable solutions to these challenges and provided insights on how to address these challenges using a simple yet effective recommendation framework.^

World coffee markets and national coffee parastatals since 1989: a comparative study of Colombia and Cote D'ivoire

The International Coffee Agreements (ICA) involved the majority of nations producing and consuming coffee and provided relative economic stability to the coffee sectors of the exporting Third World countries. This study focuses on the serious impact of the 1989 collapse of the ICA on the domestic coffee sectors of Colombia and Cote d'Ivoire. In particular, the dissertation examines the role of the Colombian and Ivoirian coffee parastatals, the Federacion Nacional de Cafeteros de Colombia and the Caisse de Stabilisation et Soutien des Prix des Produits Agricoles, during the crisis and their transformation by it. The theoretical framework employed in this study is borrowed from the literature on state-society relations. The methodology includes: in-depth analysis of the historical roles of the parastatal agencies in coffee production, state-society relations and economic development in Colombia and C��te d'Ivoire; interviews with parastatal administrators, producers and other knowledgeable informants in both countries; and a comprehensive review of newspaper articles and official statements of coffee policy published in Colombia and C��te d'Ivoire prior to, during, and after the crisis. The Colombian and Ivoirian coffee sectors and their producers faced serious economic and social problems following the drop in coffee prices. The coffee parastatals in Colombia and C��te d'Ivoire first lost some of their responsibilities following the world coffee crisis. The Caisse was in the end eliminated while FEDECAFE struggled to remain in existence. Along the way, both entities faced protests from disgruntled coffee producers, who organized politically for the first time in their nations' histories. I argue that the outcome for the parastatals depended in part on the conditions of their formation, particularly the level of societal involvement in their creation. I also posit that the country's dependence on foreign aid played a key role in the fate of the parastatals. This dissertation concludes that developments in the Colombian and Ivoirian coffee sectors have significantly contributed to the creation of the difficult political and economic conditions of both countries today.