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A Hybrid Similarity Concept for Browsing Semi-structured Product Items [chapter]

Markus Zanker, Sergiu Gordea, Markus Jessenitschnig, Michael Schnabl
2006 Lecture Notes in Computer Science  
Furthermore, we implemented our hybrid similarity concept in a service component and give evaluation results for the e-tourism domain.  ...  Similarity is an important underlying concept for the above techniques.  ...  .: A Hybrid Similarity Concept for Browsing Semistructured Product Items.  ... 
doi:10.1007/11823865_3 fatcat:h3fwjytuzbeppcvf66653oibge

Recommendation System for Web Mining: A Review

Purvi Dubey, Pramod S. Nair
2015 International Journal of Computer Applications  
A hybrid recommendation system [24] produced which calculate item attribute similarity, user rating similarity, user demography similarity and temporal inform hybrid structure system and model based  ...  It is different in context of generally data used in web are mainly semi-structured or unstructured data, and data which is used in data mining generally structured data.  ... 
doi:10.5120/19229-0941 fatcat:2bqtuxyouncylbkypnsprdzqyq

An Integrated Set of Web Mining Tools for Research

D Aravind
2018 Zenodo  
A large number of data provided by the web, it has become a special area for research.  ...  IE will use a hybrid extraction way to select portions from a web page and give data into a database. Generalization will clean data and use database techniques to analyze collected data.  ...  We can classify web contents as two types: structured/semi-structured text and free text. The first type has data items (e.g., names, SSN, etc.).  ... 
doi:10.5281/zenodo.1410994 fatcat:fgeuwa7mlnfbnhmlewdkrmh3x4

Learning Relevance of Web Resources across Domains to Make Recommendations

Julia Hoxha, Peter Mika, Roi Blanco
2013 2013 12th International Conference on Machine Learning and Applications  
In real-world datasets of semantically-enriched logs of user browsing behavior at multiple Web sites, we study the impact of structure in generating accurate recommendations and conduct experiments that  ...  We present an approach that applies Support Vector Machines for learning the relevance of resources and predicting which ones are the most relevant to recommend to a user, given that the user is currently  ...  The authors thank Pablo Castells (Universidad Autònoma de Madrid) for the helpful comments and feedback.  ... 
doi:10.1109/icmla.2013.144 dblp:conf/icmla/HoxhaMB13 fatcat:jzifeqkiwzg6lhaem6mnp44krm

Personalized Financial News Recommendation Algorithm Based on Ontology

Rui Ren, Lingling Zhang, Limeng Cui, Bo Deng, Yong Shi
2015 Procedia Computer Science  
To settle the ambiguity problem, a new presented OF-IDF method is employed to represent the unstructured text data in the form of key concepts, synonyms and synsets which are all stored in the domain ontology  ...  For users, the recommendation algorithm build the profiles based on their behaviors to detect the genuine interests and predict current interests automatically and in real time by applying the thinking  ...  Acknowledgements The authors are very grateful to National Natural Science Foundation of China (Grant No. 71471161, 71071151, 71331005, 71110107026) for research support.  ... 
doi:10.1016/j.procs.2015.07.151 fatcat:6g3qzreom5gqbdlf6su7n4lc7q

The Recommendation System for User Interest on Web

2015 International Journal of Science and Research (IJSR)  
The motivation for this hybrid approach comes from the observation that the existing system provides the relevant data, but the system should be effective and fast.  ...  A web personalization system provides most relevant pages to user according to the user interest domain. The system obtains the knowledge user interest domain by analyzing the user browsing history.  ...  Desai and other colleagues for their support and guidance.  ... 
doi:10.21275/v4i11.nov151582 fatcat:i7hfwj7vzfdmfnn6qphtrq3u5a

Recommending multimedia visiting paths in cultural heritage applications

Ilaria Bartolini, Vincenzo Moscato, Ruggero G. Pensa, Antonio Penta, Antonio Picariello, Carlo Sansone, Maria Luisa Sapino
2014 Multimedia tools and applications  
supporting intelligent multimedia services for the users -i.e. dynamic visiting paths for a given environment.  ...  The valorization and promotion of worldwide Cultural Heritage by the adoption of Information and Communication Technologies represent nowadays some of the most important research issues with a large variety  ...  with similar browsing behavior.  ... 
doi:10.1007/s11042-014-2062-7 fatcat:ksjcltx5efcnhmjfqgyl4syra4

Life-stage Prediction for Product Recommendation in E-commerce

Peng Jiang, Yadong Zhu, Yi Zhang, Quan Yuan
2015 Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '15  
For example, a mum may look for different suitable products when her baby is at different ages.  ...  Motivated by this, we introduce the conception of life stage into recommender systems and propose to predict a user's current life-stage and recommend products correspondingly.  ...  For example, a pregnant women is more likely to browse or buy products in 'Maternity Cloths' and 'Pregnant Bras' categories. A new parent is likely to browse 'Baby stroller' category.  ... 
doi:10.1145/2783258.2788562 dblp:conf/kdd/JiangZZY15 fatcat:h4hy6mp6czgunga7foypinir7u

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Miquel Montaner, Beatriz López, Josep Lluís de la Rosa
2012 Artificial Intelligence Review  
Finally, we conclude this paper with a cross-dimensional analysis with the aim of providing a starting point for researchers to construct their own recommender system.  ...  In this paper, we present a state-of-the-art taxonomy of intelligent recommender agents on the Internet.  ...  to express sincere appreciation to the people at Intelligent Software Agents Group in the Robotics Institute of the Carnegie Mellon University, where the major part of this paper was developed during a  ... 
doi:10.1023/a:1022850703159 fatcat:ixurzjumvvaazkie5qshol6yii

An Analytical Framework for Web Information Filtering Techniques

Narges Sadat Khozooii, Saman Haratizadeh, Mohammad Reza Keyvanpour
2013 International Journal of Hybrid Information Technology  
The growth of information and unstructured and semi structured nature of web information, cause some challenges for people to find their potential useful information for long-time needs.  ...  Internet is a huge source of information.  ...  The authors are grateful to anonymous referees of this paper for their constructive comments.  ... 
doi:10.14257/ijhit.2013.6.6.31 fatcat:2akfujc4bbgsdagzpumyikmgtm

The potential and challenges of Big data - Recommendation systems next level application [article]

Fatima El Jamiy, Abderrahmane Daif, Mohamed Azouazi, Abdelaziz Marzak
2015 arXiv   pre-print
However, development of big data requires a good understanding of the issues associated with it.  ...  And this is the purpose of this paper, which focuses on giving a close-up view of big data analysis, opportunities and challenges.  ...  Our idea is loading data from non-structured data to a semi-structured repository, that is, for example NoSQL repository, initially used to handle enormous databases for websites very large audience such  ... 
arXiv:1501.03424v1 fatcat:k2cfqpli2zcnrd3262iweucwwi

Data Semantics for Improving Retrieval Performance of Digital News Video Systems [chapter]

G. Ahanger, T. D. C. Little
1999 Database Semantics  
We propose a novel four-step hybrid approach for retrieval and composition of video newscasts based on information contained in different metadata sets.  ...  A quantitative analysis of the performance of the process on a newscast composition shows an increase in recall by 23% for the third step of the process and 48% for the fourth step, over the conventional  ...  The Informedia project [20] uses a hybrid-metadata approach to extract video segments for browsing using both the visual and transcript metadata.  ... 
doi:10.1007/978-0-387-35561-0_5 fatcat:oyhoredbw5cnrhfhp53cwqpi4y

Improving Recommendations for Online Retail Markets Based on Ontology Evolution

Rana Alaa, Mariam Gawish, Manuel Fernández-Veiga
2021 Electronics  
the products they need.  ...  Furthermore, the paper proposes an ontology building methodology based on a semi-automatic technique as well as development of online retail ontology.  ...  ., materials used for experiments). Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/electronics10141650 fatcat:gzdzg6vm6vbqxjole4x54dlh5m

Integrating web mining and neural network for personalized e-commerce automatic service

Pao-Hua Chou, Pi-Hsiang Li, Kuang-Ku Chen, Menq-Jiun Wu
2010 Expert systems with applications  
This research employs the user's product-specific knowledge and mine his/her interior desire on appropriate target products as a part of personalization process to construct the overall EC strategy for  ...  However, most researches neglect a fundamental issue -the user's product-specific knowledge on which the useful intelligent systems are based.  ...  Besides, we also gratefully thank the Editor and anonymous reviewers for their valuable comments and constructive suggestions.  ... 
doi:10.1016/j.eswa.2009.09.047 fatcat:xweo4it4kvcmtmsfuhll7nxise

Online Product Recommendation using Relationships and Demographic Data on Social Networks

R. Satish Srinivas, C. S. Anish Balaji, P. Saravanan
2016 Indian Journal of Science and Technology  
Methods/Statistical Analysis: The proposed system is a hybrid one and can improve the suitability and the accuracy of recommender systems with the help of users' and products' demographic info and the  ...  With the help of these, it finds the user-friends and user-items similarity using the cosine and Euclidean cluster similarity methods respectively.  ...  A flexible frame work 11 has been recommended to scrap similar videos using semi automatic web scrapers. To recommend a movie for a new user has been proposed using prediction 12 .  ... 
doi:10.17485/ijst/2016/v9i44/99896 fatcat:7trspsqinvetzgzdn3g4juajzi
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