Clustering frequent navigation patterns from website logs using ontology and temporal information

Download
2011
Kılıç, Sefa
Given set of web pages labeled with ontological items, the level of similarity between two web pages is measured using the level of similarity between ontological items of pages labeled with. Using similarity measure between two pages, degree of similarity between two sequences of web page visits can be calculated as well. Using clustering algorithms, similar frequent sequences are grouped and representative sequences are selected from these groups. A new sequence is compared with all clusters and it is assigned to most similar one. Representatives of the most similar cluster can be used in several real world cases. They can be used for predicting and prefetching the next page user will visit or for helping the navigation of user in the website. They can also be used to improve the structure of website for easier navigation. In this study the effect of time spent on each web page during the session is analyzed.

Suggestions

Joint Utilization of Appearance, Geometry and Chance for Scene Logo Retrieval
Soysal, Medeni; Alatan, Abdullah Aydın (Oxford University Press (OUP), 2011-07-01)
A novel approach involving the comparison of appearance and geometrical similarity of local patterns via a combined description is presented. Candidate groups of interest points are identified based on unlikeliness of being matched by chance. For each of the keypoints in these groups, a novel description is proposed. This description utilizes quantized appearance descriptors of interest points to avoid the necessity of matching each test descriptor to each template descriptor. Additionally, one-to-many matc...
Recursive shortest spaning tree algorithms for image segmentation
Bayramoğlu, Neslihan Yalçın; Bazlamaçcı, Cüneyt Fehmi; Department of Electrical and Electronics Engineering (2005)
Image segmentation has an important role in image processing because it is a tool to obtain higher level object descriptions for further processing. In some applications such as large image databases or video image sequence segmentations, the speed of the segmentation algorithm may become a drawback of the application. This thesis work is a study to improve the run-time performance of a well-known segmentation algorithm, namely the Recursive Shortest Spanning Tree (RSST). Both the original and the fast RSST...
Clustering frequent navigation patterns from website logs by using ontology and temporal information
Kilic, Sefa; Karagöz, Pınar; Toroslu, İsmail Hakkı (2013-11-22)
In this work, clustering algorithms are used in order to group similar frequent sequences of Web page visits. A new sequence is compared with all clusters and it is assigned to the most similar one. This work can be used for predicting and prefetching the next page user will visit or for helping the navigation of user in the website. They can also be used to improve the structure of website for easier navigation. In this study the effect of time spent on each web page during the session is also analyzed. © ...
Implementation of an 8-bit microcontroller with system c
Kesen, Lokman; Aşkar, Murat; Department of Electrical and Electronics Engineering (2004)
In this thesis, an 8-bit microcontroller, 8051 core, is implemented using SystemC programming language. SystemC is a new generation co-design language which is capable of both programming software and describing hardware parts of a complete system. The benefit of this design environment appears while developing a System-on-Chip (SoC), that is a system consisting both custom hardware parts and embedded software parts. SystemC is not a completely new language, but based on C++ with some additional class libra...
Exploiting information extraction techniques for automatic semantic annotation and retrieval of news videos in Turkish
Küçük, Dilek; Yazıcı, Adnan; Department of Computer Engineering (2011)
Information extraction (IE) is known to be an effective technique for automatic semantic indexing of news texts. In this study, we propose a text-based fully automated system for the semantic annotation and retrieval of news videos in Turkish which exploits several IE techniques on the video texts. The IE techniques employed by the system include named entity recognition, automatic hyperlinking, person entity extraction with coreference resolution, and event extraction. The system utilizes the outputs of th...
Citation Formats
S. Kılıç, “Clustering frequent navigation patterns from website logs using ontology and temporal information,” M.S. - Master of Science, Middle East Technical University, 2011.