Filters








80,584 Hits in 2.6 sec

Design and Architecture for Web Graph Mining Base Recommender System for Query, Image and Social Network using Query Suggestion Algorithm and Heat Diffusion Method

Asst. Prof. Sonal Patil, Ankush Mahajan
2014 IOSR Journal of Computer Engineering  
King et al in their paper "Mining Web Graphs for Recommendations" have proposed a system for query suggestion and image recommendation using heat diffusion by taking reference of that we are adding a  ...  , etc. it is not important that what kind of data sources are used for the recommendations, these data sources can be modeled or taken in the various types of graphs.  ...  In our web graph mining base recommender system we are using three different data sets, so that recommender system will fetch a appropriate data from the data set whenever required.  ... 
doi:10.9790/0661-16181623 fatcat:tfkznolrcje3jifiqj3z56ba6a

A Neoteric Web Recommender System based on Approach of Mining Frequent Sequential Pattern from Customized Web Log Preprocessing

Manisha Valera, Kirit Rathod, Uttam Chauhan
2013 International Journal of Computer Applications  
In the proposed system, an efficient sequential pattern mining algorithm is used to identify frequent sequential web access patterns.  ...  Web usage mining is a kind of data mining method that provide intelligent personalized online services such as web recommendations, it is usually necessary to model users" web access behavior.  ...  Fig 1 : 1 Process Of Web Usage Mining Fig 2 : 2 Block diagram of the proposed web recommendation system (an edge with same source, destination does not exists in all edges generated so far) { create_edge  ... 
doi:10.5120/12119-8197 fatcat:njdfp4qs7je4hacfrmpr4nlz3q

Personalized Web Recommendation Combining User-centered Collaborative Technique with URL Weighting

Delwar HossainArif, A H M Sofi Ullah, K M Habibullah, Md Ali Al Mamun
2013 International Journal of Computer Applications  
At present there are many systems that recommend for the users on web usage mining, but most of the systems suffer from inappropriate scalability, which would lead to very weak recommendations.  ...  Web usage mining has become very popular in various business areas for learning more about the users' browsing behavior and recommending the perfect product in which the user is interested in.  ...  In this paper, we describe the design and its implementation of a usage based system that uses data mining technique to represent the recommendation system in a dynamic way.  ... 
doi:10.5120/10437-5116 fatcat:myfdfgqw5zc35etuxckjnw3d5y

RecoMed: A Knowledge-Aware Recommender System for Hypertension Medications [article]

Maryam Sajde, Hamed Malek, Mehran Mohsenzadeh
2022 arXiv   pre-print
The second step entails graph mining and clustering to present an enriched recommendation via ATC code, which itself comprises several steps.  ...  First, the initial graph is constructed from historical prescription data.  ...  Then, graph mining is used, and an enriched recommendation using the ATC code (a well-known medicine classification system) is produced.  ... 
arXiv:2201.05461v1 fatcat:gx7bljcqkjevtoerjneg4a742u

Semantic Information and Web based Product Recommendation System A Novel Approach

Sneha Y.S, G. Mahadevan
2012 International Journal of Computer Applications  
The internet also creates newer possibilities to organize and recommend information.  ...  Perkowitz and Etzioni (who coined the term Data Mining) [7] developed a WUM system which used a partitioning graph theotric approach for mining user logs. This made websites adaptive in nature.  ...  In traditional recommender system, web usage mining techniques are used to generate interesting patterns from the past behavior of the user which is present in the web log data.  ... 
doi:10.5120/8782-2753 fatcat:mnmmmic7inagboqtyyvnt3dx4i

Adaptive Query Recommendation Techniques for Log Files Mining to Analysis User's Session Pattern

Durga Choudhary, Subhash Chandra
2016 International Journal of Computer Applications  
System log files are very important part of any web application. System log files serves as the purpose of directory in various aspect of knowledge mining.  ...  Generally, IP, date and time of the request, result for the request (with code), transaction size, protocol, request description, browser and operating system used by the user are some of the important  ...  There are many kinds of data that can be used in Web Mining.  ... 
doi:10.5120/ijca2016908085 fatcat:ugjknb7vnfcrrjgusfpoqz553e

Semantic data mining: A survey of ontology-based approaches

Dejing Dou, Hao Wang, Haishan Liu
2015 Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015)  
In the past, many research efforts have attested the benefits of incorporating domain knowledge in data mining.  ...  We investigate why ontology has the potential to help semantic data mining and how formal semantics in ontologies can be incorporated into the data mining process.  ...  Research in recommendation system suggests that ontologybased recommendation systems have better prediction precision than traditional recommendation methods [13] , [83] .  ... 
doi:10.1109/icosc.2015.7050814 dblp:conf/semco/DouWL15 fatcat:uck4bd3gpnf5bgb4jike6xm5ne

A Personalized English Learning Material Recommendation System Based on Knowledge Graph

Yiqin Huang, Jiang Zhu
2021 International Journal of Emerging Technologies in Learning (iJET)  
Specifically, the relevant data were characterized by knowledge points in English teaching, and used to formulate a knowledge graph.  ...  Then, the related knowledge points were labeled in online learning data on learning platforms. After that, user portrait was created by analyzing the data on daily learning behaviors.  ...  The mining process is to calculate and mine user data into the features we want, namely the "user portraits".  ... 
doi:10.3991/ijet.v16i11.23317 fatcat:lvmx5eq3fvgmxdib4ulrozxu5e

MF-NB Learning Based Approach for Recommendation System

Hutashan V. Bhagat, Chandigarh Engineering College/Department of I.T, Landran (Mohali), 140307, India, Shashi B., Sachin M.
2018 International Journal of Information Technology and Computer Science  
The Multi Factor-Naive Bayes classifier based recommendation system is analyzed with respect to the traditional KNN classifier based recommendation system.  ...  The classification of the web usage data is done on the basis of the keyword name, keyword count, inbound links and age group of the users.  ...  Error Analysis The graph in Fig. 3 delineates the contrast of MF-NB and KNN classifier based recommendation system in the terms of Error Rate.  ... 
doi:10.5815/ijitcs.2018.10.04 fatcat:mffkw6jpjbeljdcc53moog2ape

A graph model for E-commerce recommender systems

Zan Huang, Wingyan Chung, Hsinchun Chen
2004 Journal of the American Society for Information Science and Technology  
In this research, we developed a graph model that provides a generic data representation and can support different recommendation methods.  ...  Various recommender systems employing different data representations and recommendation methods are currently used to address these challenges.  ...  We would also like to thank Thian-Huat Ong and Hui Liu for their involvement in system design and development.  ... 
doi:10.1002/asi.10372 fatcat:uyuo5j6ykbdibc6wojchezapne

Real Time Symptomatic Analysis for Efficient Disease Prediction and Recommendation Generation Using Multi Level Symptom Similarity Measure

Sathish Kumar.P.J, Dr R.Jagadeesh Kan
2018 International Journal of Engineering & Technology  
Still, the efficient of such recommendation systems are not up to noticeable rate.  ...  The method reads the input data set, performs preprocessing to remove the noisy records. In the second stage, the method performs Class Level Feature Similarity Clustering.  ...  The measure would be used in disease prediction as well as increase the performance in recommendation system.  ... 
doi:10.14419/ijet.v7i4.5.20006 fatcat:cnqkzxikujeppg7mtc2e5go5au

Enhancing Software Development Process (ESDP) using Data Mining Integrated Environment [article]

Ziaur Rahman
2020 arXiv   pre-print
In some cases database dependent searching and remote web server based mined repository searching bring a problem to the developers.  ...  We also have built and applied an XML based enriched repository to get a recommendation from the mined repository on the client-side without interacting with the internet-dependent server to save complications  ...  Recommendation Heuristics is shown in the following figure 3.12. Here, an individual usage pattern is a sub graph that frequently appears in mining object usage graphs.  ... 
arXiv:2005.02652v1 fatcat:fllwufns3jhxhpzadq5stz2shu

A Semantic based Friends Recommendation System using Socio-Routine

Miss. Pratiksha P. Gaurkhede
2021 International Journal for Research in Applied Science and Engineering Technology  
In this paper, a social network is formally represented and taking text mining as a perspective, we have proposed a framework that will recommend friend using an efficient Algorithm.  ...  Every day we are overwhelmed with many choices and options, simultaneously recommendation systems have gained popularity in providing suggestions.  ...  In A Probabilistic Approach to Mining Mobile Phone Data Sequences [2] , they present a new approach to address the problem of large sequence mining from big data.  ... 
doi:10.22214/ijraset.2021.34162 fatcat:awajpelslnfqxb5tqljqlpszgi

A Hybrid Approach for Recommendation System in Web Graph Mining

Priyanka U.Chavan, P. M. Yawalkar, D. V. Patil
2014 International Journal of Computer Applications  
Efficient way to deal with all types of data sources is, model them in the form of graph and then apply recommendation algorithm on it.  ...  Initially the proposed system collects data from user's and graphs are constructed by using this data. Subsequently the system uses different algorithms for predicting user's interest.  ...  CONCLUSION A hybrid recommendation system is proposed here. The proposed system collects data from users and construct graph by using that data. Initially Slope one algorithm rates un-rated items.  ... 
doi:10.5120/16743-7003 fatcat:cu5ygudpobgfdcewp7aqspdlzy

A Group Recommendation System of Network Document Resource Based on Knowledge Graph and LSTM in Edge Computing

Yuezhong Wu, Qiang Liu, Rongrong Chen, Changyun Li, Ziran Peng, Xiaolong Xu
2020 Security and Communication Networks  
An extensive system test has been carried out in the field of big data application in packaging industry.  ...  The experimental results show that the proposed system recommends network document resource more accurately and further improves recommendation quality using the knowledge graph and LSTM in edge computing  ...  way to design recommendation systems in big data environments.  ... 
doi:10.1155/2020/8843803 fatcat:eeezr7ijhbbs3abj36d2th7z44
« Previous Showing results 1 — 15 out of 80,584 results