{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,5]],"date-time":"2025-12-05T23:36:13Z","timestamp":1764977773542,"version":"3.46.0"},"reference-count":22,"publisher":"Walter de Gruyter GmbH","issue":"1","license":[{"start":{"date-parts":[[2018,5,22]],"date-time":"2018-05-22T00:00:00Z","timestamp":1526947200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,12,18]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>This paper explains about the web page recommendation system. This procedure encompasses consumers\u2019 upcoming demand and web page recommendations. In the proposed web page recommendation system, potential and non-potential data can be categorized by use of the Levenberg\u2013Marquardt firefly neural network algorithm, and forecast can be made by using the K-means clustering algorithm. Consequently, the projected representation demonstrates the infrequent contact format with the help of the representation that integrates the comparable consumer access model data that belong to the further consumer. Thereafter, the impending user data are specified to the clustering progression. The third phase of the projected process is collecting potential data with the aid of the improved fuzzy C-means clustering algorithm. The last step of our projected process is envisaging the upcoming demand for the subsequent consumer. The presentation of the projected procedure will be compared to the obtainable procedure.<\/jats:p>","DOI":"10.1515\/jisys-2017-0310","type":"journal-article","created":{"date-parts":[[2018,5,22]],"date-time":"2018-05-22T18:16:09Z","timestamp":1527012969000},"page":"583-595","source":"Crossref","is-referenced-by-count":1,"title":["Prediction of User Future Request Utilizing the Combination of Both ANN and FCM in Web Page Recommendation"],"prefix":"10.1515","volume":"29","author":[{"given":"V.","family":"Raju","sequence":"first","affiliation":[{"name":"Department of Science and Humanities, Sathyabama Institute of Science and Technology , Chennai , India"}]},{"given":"N.","family":"Srinivasan","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering , Sathyabama Institute of Science and Technology , Chennai , India"}]}],"member":"374","published-online":{"date-parts":[[2018,5,22]]},"reference":[{"key":"2025120523293282057_j_jisys-2017-0310_ref_001","unstructured":"M. Bhavsar and P. M. Chavan, Web page recommendation using web mining, Int. J. Eng. Res. Appl. 4 (2014), 201\u2013206."},{"key":"2025120523293282057_j_jisys-2017-0310_ref_002","doi-asserted-by":"crossref","unstructured":"R. Bhushan and R. Nath, Recommendation of optimized web pages to users using web log mining techniques, in: IEEE 3rd International Advance Computing Conference (IACC), pp. 1030\u20131033, 2013.","DOI":"10.1109\/IAdCC.2013.6514368"},{"key":"2025120523293282057_j_jisys-2017-0310_ref_003","doi-asserted-by":"crossref","unstructured":"A. B. G. D. Couto and L. F. A. M. Gomes, Multi-criteria web mining with DRSA, Inform. Technol. Quant. Manage. 91 (2016), 131\u2013140.","DOI":"10.1016\/j.procs.2016.07.050"},{"key":"2025120523293282057_j_jisys-2017-0310_ref_004","unstructured":"P. J. Gohil and K. Patel, A study of various web page recommendation algorithms, Int. J. Eng. Comput. Sci. 4 (2015), 10608\u201310610."},{"key":"2025120523293282057_j_jisys-2017-0310_ref_005","doi-asserted-by":"crossref","unstructured":"A. Hawalah and M. Fasli, Dynamic user profiles for web personalisation, Expert Syst. Appl. 42 (2015), 2547\u20132569.","DOI":"10.1016\/j.eswa.2014.10.032"},{"key":"2025120523293282057_j_jisys-2017-0310_ref_006","doi-asserted-by":"crossref","unstructured":"H. Hea, Z. LiIb, C. Yaoa and W. Zhanga, Sentiment classification technology based on Markov logic networks, New Rev. Hypermed. Multimed. 22 (2016), 243\u2013256.","DOI":"10.1080\/13614568.2016.1152317"},{"key":"2025120523293282057_j_jisys-2017-0310_ref_007","unstructured":"M. Jafari, F. S. Sabzchi and A. J. Irani, Applying web usage mining techniques to design effective web recommendation systems: a case study, Int. J. Comput. Sci. 3 (2014), 78\u201390."},{"key":"2025120523293282057_j_jisys-2017-0310_ref_008","doi-asserted-by":"crossref","unstructured":"M. Jalali, N. Mustapha, Md. N. Sulaiman and A. Mamat, WebPUM: a web-based recommendation system to predict user future movements, IEEE J. Expert Syst. Appl. 37 (2010), 6201\u20136212.","DOI":"10.1016\/j.eswa.2010.02.105"},{"key":"2025120523293282057_j_jisys-2017-0310_ref_009","unstructured":"R. Lian, The construction of personalized web page recommendation system in E-commerce, in: Computer Science and Service System (CSSS), 2011 International Conference, pp. 2681\u20132690, 2011."},{"key":"2025120523293282057_j_jisys-2017-0310_ref_010","doi-asserted-by":"crossref","unstructured":"S. Lin and X. Wenzhen, E-commerce recommendation system based on web mining technology design and implementation, in: International Conference on Intelligent Transportation, Big Data & Smart City, Halong Bay, Vietnam, pp. 347\u2013350, 2015.","DOI":"10.1109\/ICITBS.2015.93"},{"key":"2025120523293282057_j_jisys-2017-0310_ref_011","unstructured":"P. Lopes and B. Roy, Recommendation system using web usage mining for users of E-commerce site, Int. J. Eng. Res. Technol. 3 (2014), 1714\u20131720."},{"key":"2025120523293282057_j_jisys-2017-0310_ref_012","doi-asserted-by":"crossref","unstructured":"I. F. Moawad, H. Talha, E. Hosny and M. Hashim, Agent-based web search personalization approach using dynamic user profile, Egypt. Inform. J. 13 (2012), 191\u2013198.","DOI":"10.1016\/j.eij.2012.09.002"},{"key":"2025120523293282057_j_jisys-2017-0310_ref_013","unstructured":"E. R. V. Patel and D. K. Singh, Pattern classification based on web usage mining using neural network technique, Int. J. Comput. Appl. 71 (2013), 13\u201317."},{"key":"2025120523293282057_j_jisys-2017-0310_ref_014","doi-asserted-by":"crossref","unstructured":"C. N. Pushpa, A. Patil, J. Thriveni, K. R. Venugopal and L. M. Patnaik, Web page recommendations using radial basis neural network technique, in: 2013 IEEE 8th International Conference on Industrial and Information Systems, ICIIS, Sri Lanka, pp. 18\u201320, 2013.","DOI":"10.1109\/ICIInfS.2013.6732035"},{"key":"2025120523293282057_j_jisys-2017-0310_ref_015","doi-asserted-by":"crossref","unstructured":"A. I. Saleh, A. I. El Desouky and S. H. Ali, Promoting the performance of vertical recommendation systems by applying new classification techniques, IEEE Int. J. Knowl. Based Syst. 75 (2015), 192\u2013223.","DOI":"10.1016\/j.knosys.2014.12.002"},{"key":"2025120523293282057_j_jisys-2017-0310_ref_016","doi-asserted-by":"crossref","unstructured":"Y. S. Sneha, G. Mahadevan and M. Madhura Prakash, An online recommendation system based on web usage mining and semantic web using LCS algorithm, in: AMCEC, IEEE, Bangalore, India, pp. 223\u2013226, 2011.","DOI":"10.1109\/ICECTECH.2011.5941689"},{"key":"2025120523293282057_j_jisys-2017-0310_ref_017","doi-asserted-by":"crossref","unstructured":"R. Suguna and D. Sharmila, An efficient web recommendation system using collaborative filtering and pattern discovery algorithms, Int. J. Comput. Appl. 70 (2013), 37\u201344.","DOI":"10.5120\/11945-7755"},{"key":"2025120523293282057_j_jisys-2017-0310_ref_018","unstructured":"K. Suneetha and M. U. Rani, Web page recommendation approach using weighted sequential patterns and Markov model, Glob. J. Comput. Sci. Technol. 12 (2012), version 1.0."},{"key":"2025120523293282057_j_jisys-2017-0310_ref_019","doi-asserted-by":"crossref","unstructured":"Sunena and K. Kaur, Web usage mining \u2013 current trends and future challenges, in: International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), IEEE, India, pp. 1409\u20131414, 2016.","DOI":"10.1109\/ICEEOT.2016.7754915"},{"key":"2025120523293282057_j_jisys-2017-0310_ref_020","unstructured":"V. Waykule and S. S. Gupta, Review of web recommendation system and its techniques: future road map, Int. J. Comput. Sci. Inform. Technol. 5 (2014), 547\u2013551."},{"key":"2025120523293282057_j_jisys-2017-0310_ref_021","doi-asserted-by":"crossref","unstructured":"B. Yang, H. Chen, X. Zhao, M. Naka and J. Huang, On characterizing and computing the diversity of hyperlinks for anti-spamming page ranking, J. Knowl. Based Syst. 77 (2015), 56\u201367.","DOI":"10.1016\/j.knosys.2014.12.028"},{"key":"2025120523293282057_j_jisys-2017-0310_ref_022","doi-asserted-by":"crossref","unstructured":"Z. Ying, Z. Zhou, F. Han and G. Zhu, Research on personalized web page recommendation algorithm based on user context and collaborative filtering, in: Software Engineering and Service Science (ICSESS), 4th IEEE International Conference, pp. 220\u2013224, 2013.","DOI":"10.1109\/ICSESS.2013.6615292"}],"container-title":["Journal of Intelligent Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.degruyter.com\/view\/journals\/jisys\/29\/1\/article-p583.xml","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.degruyterbrill.com\/document\/doi\/10.1515\/jisys-2017-0310\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.degruyterbrill.com\/document\/doi\/10.1515\/jisys-2017-0310\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,5]],"date-time":"2025-12-05T23:31:46Z","timestamp":1764977506000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.degruyterbrill.com\/document\/doi\/10.1515\/jisys-2017-0310\/html"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,5,22]]},"references-count":22,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2018,2,21]]},"published-print":{"date-parts":[[2019,12,18]]}},"alternative-id":["10.1515\/jisys-2017-0310"],"URL":"https:\/\/doi.org\/10.1515\/jisys-2017-0310","relation":{},"ISSN":["2191-026X","0334-1860"],"issn-type":[{"type":"electronic","value":"2191-026X"},{"type":"print","value":"0334-1860"}],"subject":[],"published":{"date-parts":[[2018,5,22]]}}}