G. Adomavicius and Y. Kwon. Improving aggregate recommendation diversity using ranking-based techniques. Knowledge and Data Engineering, IEEE Transactions on, 24(5):896--911, 2012. ... In Proceedings of the sixth ACM international conference on Web search and data mining, WSDM '13, pages 759--764, New York, …
Detailspreprocessing phase in order to obtain aggregate usage profiles. Web Personalizer is a good example of two-tier . A Personalized Product Based Recommendation System Using Web Usage Mining and ...
DetailsRecommender systems are becoming increasingly important to individual users and businesses for providing personalized recommendations. However, while the majority of algorithms proposed in recommender systems literature have focused on improving recommendation accuracy (as exemplified by the recent Netflix Prize …
DetailsBio-based aggregates. Research is underway to develop concrete for loadbearing applications using bio-based aggregates such as cement-free bio-based cold-bonded lightweight aggregates. However, until such applications are widely available, ecological impacts of aggregates should be addressed using the resource use mitigation hierarchy.
DetailsWeb usage mining is the application of data mining techniques to discover usage patterns from Web data, in order to understand and better serve the needs of Web-based applications.
DetailsIn many applications, web surfers would like to get recommendation on which collections of web pages that would be interested to them or that they should follow. In order to discover this information and make recommendation, data mining in general-or frequent pattern mining in specific-can be applicable. Since its introduction, frequent …
DetailsAggregate mining is becoming increasingly more regulated under county and municipal land use and zoning regulations. As a result, the review and approval of operating permits have become some of ... the proposed district and prepare a written report and recommendation. The report will be provided to the local Planning and Zoning …
DetailsIn fact, in our experiments, we ob- Categories and Subject Descriptors H.3.3 [Information Search and Retrieval]: Information filtering; H.3.4 [Systems and Software]: Performance evaluation (efficiency and effectiveness) General Terms Algorithms, Experimentation Keywords Persoanlized Recommendation, Aggregate Queries, Matrix Factorization, …
DetailsThis paper presents a framework for a hybrid Web personalization system that can intelligently switch among different recommendation models, based on the degree of connectivity and the current location of the user within the site, and indicates that the overall performance of hybrid system in terms of precision and coverage is better than the …
DetailsWeb usage mining generally finds helpful and critical data from the optional information which is received while the clients are surfing on the Web. The main objective in the …
Detailsfrequently accessed pages for recommendations. Keywords Web Usage Mining, K-Means, Self-Organizing Feature Maps and Aggregate Usage Profile 1. INTRODUCTION Web Usage Mining [7, 8, 13, 15] discovers meaningful patterns from data generated by Client-Server transactions. Web Usage Mining research mainly focuses on the data …
Detailsof the 7th ACM International Confer ence on Web Se arch and Data Mining, 253–262 ... This paper proposes a graph-theoretic approach for maximizing aggregate recommendation diversity based on ...
DetailsIn the personalized recommendation systems, which are based on Web usage mining, association-mining technology was applied to predict user-browsing behavior and this method has gained much attention.
DetailsOptimizing Recommendation system using web usage mining and social media for e-commerce Anurag singh Dr AKhilesh A. Waoo research scholar, Department of CS HOD (CS/IT), AKS University,Satna ...
Detailsaggregate recommendation for web mining . ... 01 02 2006 Western surface coal mining 4 Coal 15 7 procedures for aggregate sampling are given in Reference 3 In the event that site specific values for 11/06 Miscellaneous Sources …
DetailsAggregates have a large number of uses and there are no obvious substitutes. Delivered costs and product quality tend to create substitutes from some other aggregate sources such as from granite, limestone and sandstone deposits. Mining. Aggregate mining is similar to other "hard rock" surface mining methods with a few exceptions.
DetailsTesting results showed that, quality of recommendation system based on web mining is better than quality of traditional collaborative filtering recommendation system. Presently recommendation systems have gradually become an important part in E-Commerce, more and more research papers about recommendation systems in E-Commerce appeared …
DetailsThis article introduces the modules that comprise a Web personalization system, emphasizing the Web usage mining module, and presents a review of the most common methods that are used as well as technical issues that occur. Web personalization is the process of customizing a Web site to the needs of specific users, taking …
DetailsThere is an exploding amount of user-generated content on theWeb due to the emergence of "Web 2.0" services, such as Blogger,MySpace, Flickr, and del.icio.us. The participation of a large number of users in sharing their opinion on the Web has inspired researchers to build an effective "information filter" by aggregating these independent opinions.
DetailsThis paper proposes a novel trust-aware recommendation method by incorporating time factor into similarity computation and demonstrates that the proposed method outperforms the baseline method in terms of aggregate diversity while maintaining almost the same recall. Recommender systems are becoming increasingly important and prevalent …
DetailsXiaoli Tang, Tengyun Wang, Haizhi Yang, and Hengjie Song. 2019. AKUPM: Attention-enhanced knowledge-aware user preference model for recommendation. In Proceedings of the 25th ACM SIGKDD international conference on knowledge discovery & …
DetailsUsually the Recommender Engines such as Pandora, Stands, and Aggregate Knowledge use either deep structured analysis of in item or social behavior analysis or behavioral …
DetailsG. Adomavicius and Y. Kwon. Improving aggregate recommendation diversity using ranking-based techniques. Knowledge and Data Engineering, IEEE Transactions on, 24(5):896--911, 2012. ... Proceedings of the 7th ACM international conference on Web search and data mining. February 2014. 712 pages. ISBN: …
DetailsThis chapter provides a survey of Web usage mining approaches, which can improve the scalability, accuracy, and flexibility of recommender systems and reduce the need for obtaining subjective user ratings or registration-based personal preferences. The technology behind personalization or Web page recommendation has undergone …
DetailsThe essential aspect of computing a recommendation set for a user is matching the current user's activity against aggregate usage profiles. The recommendation engine must be an online process, providing results quickly enough to avoid any perceived delay by the users (beyond what is considered normal for a given Web site and connection speed ...
DetailsAggregate Profiling for Recommendation of web pages using SOM and K-Means Clustering Techniques. by Shveta Kundra Bhatia, Harita Mehta, Veer Sain Dixit …
DetailsOn improving aggregate recommendation diversity and novelty in folksonomy-based social systems ... Proceedings of the 19th ACM SIGKDD international conference on knowledge discovery and data mining, ACM, pp 955---963. Crossref. Google Scholar [24] Patil CB, Wagh RB (2013) Recommendation diversity for web …
Detailsobtain aggregate profiles may result in missing important semantic relationships among Web objects. Thus, Web usage mining can reduce the need for obtaining subjective user ratings or regis-tration-based personal preferences. Mining Usage Data for Web Personalization Principal elements of Web personalization include
DetailsImproving aggregate recommendation diversity using ranking-based techniques. IEEE Transactions on Knowledge and Data Engineering, Vol. 24, 5 (2011), 896--911. ... Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining. February 2023. 1345 pages. ISBN: 9781450394079. DOI: …
DetailsThe discovered patterns or aggregate usage profiles can be used to provide dynamic recommendations based on the user's short-term interest. Recent researchers have …
DetailsThe proposed graph-theoretic approach for maximizing aggregate recommendation diversity based on maximum flow or maximum bipartite matching computations demonstrates substantial improvements in both diversity and accuracy, as compared to the recommendation re-ranking approaches. systems are being used to help users find …
DetailsAggregate Profiling for Recommendation of Web Pages using SOM and K-means Clustering Techniques. 2.1 Web Usage Mining. Web usage mining [7, 8, 13, 15, 5, 18] includes the following five major steps: Data Collection: By collecting data from web …
DetailsIn this context, several recommendation algorithms (Ansari et al. 2000, Umyarov & Tuzhilin 2011, Oku et al. 2006, Yu et al. 2006) have been proposed based on a variety of heuristics and predictive ...
DetailsThis study explores web usage mining, for which many data mining techniques such as clustering, classification and pattern discovery have been applied to web server logs, …
Details2 Mining Web Usage Data for Personalization The data preparation and the usage mining tasks (for discovering usage profiles) are performed offline. The goal of the data preparation stage in Web usage mining is to obtain aggregate structures containing the preprocessed usage data to be used in the mining stage.
DetailsInternational Journal of Engineering Trends and Technology (IJETT) – Volume 12 Number 6 - Jun 2014 News Recommendation Systems Using Web Mining: A Study Dr. M. Durairaj#1, K. Muthu Kumar*2 #1 #1,*2 Assistant professor, *2Research Scholar School of Computer ScienceEngineering and Applications, Bharathidasan University, Trichy, India …
DetailsDOI: 10.1007/978-3-319-20910-4_16 Corpus ID: 11657724; An Unexpectedness-Augmented Utility Model for Making Serendipitous Recommendation @inproceedings{Zheng2015AnUU, title={An Unexpectedness-Augmented Utility Model for Making Serendipitous Recommendation}, author={Qianru Zheng and Chi-Kong Chan …
DetailsWe design three modules for the diversified recommendation and propose DGRec that achieves the best trade-ofbetween accuracy and diversity. The three modules can be …
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