1,720,966 research outputs found
A Web personalization system based on a neuro-fuzzy strategy
No full textIn this paper we investigate the use of a neuro-fuzzy strategy to develop a Web personalization system that
dynamically suggests interesting URLs for the current user. As a preliminary step, user access logs are
analyzed to identify user sessions. Then, groups of users which exhibit a common browser behavior (i.e. user
profiles) are discovered by applying a fuzzy clustering algorithm to the user sessions. Finally, a knowledge
extraction process is carried out to derive associations between user profiles and relevant Web pages to be
suggested to users. In particular, a hybrid approach based on the combination of the fuzzy reasoning and the
connectionist paradigm is proposed in order to derive knowledge from session data and represent it in the
comprehensible form of fuzzy rules. The derived knowledge is ultimately used by an online recommendation
module to dynamically suggest links to Web pages judged interesting for the current user
Shape annotation by semi-supervised clustering
No full textImage annotation is an important and challenging task when managing large image collections. In this paper, a fuzzy shape annotation approach for semi-automatic image annotation is presented. A fuzzy clustering process guided by partial supervision is applied to shapes represented by Fourier descriptors in order to derive a set of shape prototypes representative of a number of semantic categories. Next, prototypes are manually annotated by attaching textual labels related to semantic categories. Based on the labeled proto-types, a new shape is automatically labeled by associating a fuzzy set that provides membership degrees of the shape to all semantic categories. The proposed annotation approach provides an innovative indexing method for shape-based image retrieval. Indeed, shape prototypes represent an inter-mediate indexing level that allows a faster retrieval process since a query is matched against prototypes, instead of the whole shape database, resulting in a speed up of the retrieval. The proposed approach is tested on synthetic and real-word images in order to show its suitability
LODAP: A LOg DAta Preprocessor for mining Web browsing patterns
No full textIn this paper, we present LODAP, a log data preprocessor which is able to extract user sessions starting from the requests stored in the log file of a Web site. LODAP is composed of several modules. A data cleaning module cleans the log file by removing useless records in order to retain only relevant requests encoding the user navigational behaviour. The data structuration module groups the remained requests in user sessions, by using a time-based method. Finally, the data filtering module considerably reduces the size of data concerning the extracted user sessions by deleting the least visited pages and the uninteresting sessions. In addition, a data summarization module creates reports which represent information summaries mined from the analyzed log file and containing the results provided by each module of LODAP. The implemented tool is characterized by a wizard-based interface which guides the analyst during the preprocessing of the log data through a sequence of "panels". Each panel is a graphical window which offers a basic functionality of the processor. Tests on the log files of a specific Web site show that the LODAP tool can effectively reduce the log dataset size and identify significant user sessions
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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