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Event Recommendation System Using Machine Learning Techniques

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Innovations in Computer Science and Engineering

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 385))

Abstract

Interestingly, nowadays, an increasingly growing curiosity can be observed among the common public regarding the events that happen daily. It has become very hard for a common individual to get some insight or even to get to know about the events that happen in their vicinity these days. It is even harder for one to sort the events according to his/her interest as it is a tedious task. A typical individual in this busy society prefers to have everything in handy. This paper proposes an intelligent framework for analyzing data about the events and recommending better events to the user. The common public who are stranded and are tired of searching for events can now make use of this innovative approach to search anything they want to know about the events.

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References

  1. Zhang Y, Wu H, Sorathia V, Prasanna VK (2006) Event recommendation in social networks with linked data enablement. In: Proceedings of the Indian international conference on artificial intelligence

    Google Scholar 

  2. Yeung CA, Iwata T (2011) Strength of social influence in trust networks in product review sites. In: Proceedings of the fourth ACM international conference on web search and data mining. ACM, pp 495–504

    Google Scholar 

  3. Cornelis C, Guo X, Lu J, Zhang G (2005) A fuzzy relational approach to event recommendation. In: Proceedings of the Indian international conference on artificial intelligence

    Google Scholar 

  4. De Pessemier T, Coppens S, Geebelen K, Vleugels C, Bannier S, Mannens E, Vanhecke K, Martens L (2011) Collaborative recommendations with content-based filters for cultural activities via a scalable event distribution platform. Multimedia Tools Appl 1–47

    Google Scholar 

  5. Basu C, Hirsh H, Cohen WW, Nevill-Manning C (2001) Technical paper recommendation: a study in combining multiple information sources. J Artif Intell Res 1

    Google Scholar 

  6. Tong S, Koller D (2002) Support vector machine active learning with applications to text classification. J Mach Learn Res 2

    Google Scholar 

  7. Basu S, Kannayaram G, Ramasubbareddy S, Venkatasubbaiah C (2019) Improved genetic algorithm for monitoring of virtual machines in cloud environment. In: Smart Intelli Comput Appl. Springer, Singapore, pp 319–326

    Google Scholar 

  8. Somula R, Sasikala R (2018) Round robin with load degree: an algorithm for optimal cloudlet discovery in mobile cloud computing. Scalable Comput Prac Exp 19(1):39–52

    Google Scholar 

  9. Somula R, Anilkumar C, Venkatesh B, Karrothu A, Kumar CP, Sasikala R (2019) Cloudlet services for healthcare applications in mobile cloud computing. In: Proceedings of the 2nd international conference on data engineering and communication technology. Springer, Singapore, pp 535–543

    Google Scholar 

  10. Somula RS, Sasikala R (2018) A survey on mobile cloud computing: mobile computing+ cloud computing (MCC= MC+ CC). Scalable Comput Prac Exp 19(4):309–337

    Google Scholar 

  11. Somula R, Sasikala R (2019) A load and distance aware cloudlet selection strategy in multi-cloudlet environment. Int J Grid High-Perform Comput (IJGHPC) 11(2):85–102

    Article  Google Scholar 

  12. Somula R, Sasikala R (2019) A honeybee inspired cloudlet selection for resource allocation. In: Smart intelligent computing and applications. Springer, Singapore, pp 335–343

    Google Scholar 

  13. Nalluri S, Ramasubbareddy S, Kannayaram G (2019) Weather prediction using clustering strategies in machine learning. J Comput Theor Nanosci 16(5–6):1977–1981

    Article  Google Scholar 

  14. Sahoo KS, Tiwary M, Mishra P, Reddy SRS, Balusamy B, Gandomi AH (2019) Improving end-users utility in software-defined wide area network systems. IEEE Trans Netw Serv Manag

    Google Scholar 

  15. Sahoo KS, Tiwary M, Sahoo B, Mishra BK, Rama Subba Reddy S, Luhach AK (2019) RTSM: response time optimisation during switch migration in software-defined wide area network. IET Wirel Sens Syst

    Google Scholar 

  16. Somula R, Kumar KD, Aravindharamanan S, Govinda K (2020) Twitter sentiment analysis based on US presidential election 2016. In: Smart intelligent computing and applications. Springer, Singapore, pp 363–373

    Google Scholar 

  17. Sai KBK, Subbareddy SR, Luhach AK (2019) IOT based air quality monitoring system using MQ135 and MQ7 with machine learning analysis. Scalable Comput Pract Exp 20(4):599–606

    Article  Google Scholar 

  18. Somula R, Narayana Y, Nalluri S, Chunduru A, Sree KV (2019) POUPR: properly utilizing user-provided recourses for energy saving in mobile cloud computing. In: Proceedings of the 2nd international conference on data engineering and communication technology. Springer, Singapore, pp 585–595

    Google Scholar 

  19. Vaishali R, Sasikala R, Ramasubbareddy S, Remya S, Nalluri S (2017, October) Genetic algorithm based feature selection and MOE fuzzy classification algorithm on Pima Indians diabetes dataset. In: 2017 international conference on computing networking and informatics (ICCNI). IEEE, pp 1–5

    Google Scholar 

  20. Somula R, Sasikala R (2019) A research review on energy consumption of different frameworks in mobile cloud computing. In: Innovations in computer science and engineering. Springer, Singapore, pp 129–142. Kumar IP, Sambangi S, Somukoa R, Nalluri S, Govinda K (2020) Server security in cloud computing using block-chaining technique. In: Data engineering and communication technology. Springer, Singapore, pp 913–920

    Google Scholar 

  21. Kumar IP, Gopal VH, Ramasubbareddy S, Nalluri S, Govinda K (2020) Dominant color palette extraction by K-means clustering algorithm and reconstruction of image. In: Data engineering and communication technology. Springer, Singapore, pp 921–929

    Google Scholar 

  22. Nalluri S, Saraswathi RV, Ramasubbareddy S, Govinda K, Swetha E (2020) Chronic heart disease prediction using data mining techniques. In: Data engineering and communication technology. Springer, Singapore, pp 903–912

    Google Scholar 

  23. Krishna AV, Ramasubbareddy S, Govinda K (2020) Task scheduling based on hybrid algorithm for cloud computing. In: International conference on intelligent computing and smart communication 2019. Springer, Singapore, pp 415–421

    Google Scholar 

  24. Srinivas TAS, Ramasubbareddy S, Govinda K, Manivannan SS (2020) Web image authentication using embedding invisible watermarking. In: International conference on intelligent computing and smart communication 2019. Springer, Singapore, pp 207–218

    Google Scholar 

  25. Krishna AV, Ramasubbareddy S, Govinda K (2020) A unified platform for crisis mapping using web enabled crowdsourcing powered by knowledge management. In: International conference on intelligent computing and smart communication 2019. Springer, Singapore, pp 195–205

    Google Scholar 

  26. Saraswathi RV, Nalluri S, Ramasubbareddy S, Govinda K, Swetha E (2020) Brilliant corp yield prediction utilizing Internet of Things. In: Data engineering and communication technology. Springer, Singapore, pp 893–902

    Google Scholar 

  27. Baliarsingh SK, Vipsita S, Gandomi AH, Panda A, Bakshi S, Ramasubbareddy S (2020) Analysis of high-dimensional genomic data using MapReduce based probabilistic neural network. Comput Methods Prog Biomed 105625

    Google Scholar 

  28. Lavanya V, Ramasubbareddy S, Govinda K (2020) Fuzzy keyword matching using N-gram and cryptographic approach over encrypted data in cloud. In: Embedded systems and artificial intelligence. Springer, Singapore, pp 551–558

    Google Scholar 

  29. Revathi A, Kalyani D, Ramasubbareddy S, Govinda K (2020) Critical review on course recommendation system with various similarities. In: Embedded systems and artificial intelligence. Springer, Singapore, pp 843–852

    Google Scholar 

  30. Mahesh B, Kumar KP, Ramasubbareddy S, Swetha E (2020) A review on data deduplication techniques in cloud. In: Embedded systems and artificial intelligence. Springer, Singapore, pp 825–833

    Google Scholar 

  31. Sathish K, Ramasubbareddy S, Govinda K (2020) Detection and localization of multiple objects using VGGNet and single shot detection. In: Emerging research in data engineering systems and computer communications. Springer, Singapore, pp 427–439

    Google Scholar 

  32. Pradeepthi C, Geetha VV, Ramasubbareddy S, Govinda K (2020) Prediction of real estate price using clustering techniques. In: Emerging research in data engineering systems and computer communications. Springer, Singapore, pp 281–289

    Google Scholar 

  33. Maddila S, Ramasubbareddy S, Govinda K (2020) Crime and fraud detection using clustering techniques. In: Innovations in computer science and engineering. Springer, Singapore, pp 135–143

    Google Scholar 

  34. Rakshitha K, Rao AS, Sagar Y, Ramasubbareddy S (2020) Demonstrating broadcast aggregate keys for data sharing in cloud. In: Innovations in computer science and engineering. Springer, Singapore, pp 185–193

    Google Scholar 

  35. Ramasubbareddy S, Srinivas TAS, Govinda K, Manivannan SS (2020) Comparative study of clustering techniques in market segmentation. In: Innovations in computer science and engineering. Springer, Singapore, pp 117–125

    Google Scholar 

  36. Ramasubbareddy S, Srinivas TAS, Govinda K, Manivannan SS (2020) Crime prediction system. In: Innovations in computer science and engineering. Springer, Singapore, pp 127–134

    Google Scholar 

  37. Sahoo KS, Tiwary M, Sahoo S, Nambiar R, Sahoo B, Dash R (2018, October) A learning automata-based DDoS attack defense mechanism in software defined networks. In: Proceedings of the 24th annual international conference on mobile computing and networking, pp 795–797

    Google Scholar 

  38. Sahoo KS, Sahoo S, Sarkar A, Sahoo B, Dash R (2017, November) On the placement of controllers for designing a wide area software defined networks. In: TENCON 2017–2017 IEEE region 10 conference. IEEE, pp 3123–3128

    Google Scholar 

  39. Ramasubbareddy S, Ramasamy S, Sahoo KS, Kumar RL, Pham QV, Dao NN (2020) Cavms: application-aware cloudlet adaption and VM selection framework for multicloudlet environment. IEEE Syst J

    Google Scholar 

  40. Sankar S, Ramasubbareddy S, Chen F, Gandomi AH (2020, December) Energy-efficient cluster-based routing protocol in Internet of Things using swarm intelligence. In: 2020 IEEE symposium series on computational intelligence (SSCI). IEEE, pp 219–224

    Google Scholar 

  41. Srinivas AST, Somula R, Govinda K, Saxena A, Reddy PA (2020) Estimating rainfall using machine learning strategies based on weather radar data. Int J Commun Syst 33(13)

    Google Scholar 

  42. Ravindranath V, Ramasamy S, Somula R, Sahoo KS, Gandomi AH (2020, July) Swarm intelligence-based feature selection for intrusion and detection system in cloud infrastructure. In: 2020 IEEE congress on evolutionary computation (CEC). IEEE, pp 1–6

    Google Scholar 

  43. Attili VR, Annaluri SR, Gali SR, Somula R (2020) Behaviour and emotions of working professionals towards online learning systems: sentiment analysis. Int J Gaming Comput Mediated Simul (IJGCMS) 12(2):26–43

    Article  Google Scholar 

  44. Sennan S, Ramasubbareddy S, Nayyar A, Nam Y, Abouhawwash M LOA-RPL: novel energy-efficient routing protocol for the Internet of Things using lion optimization algorithm to maximize network lifetime

    Google Scholar 

  45. Pulipati S, Somula R, Parvathala BR (2021) Nature inspired link prediction and community detection algorithms for social networks: a survey. Int J Syst Assur Eng Manag 1–18

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of CSE, G. Pullaiah College of Engineering and Technology, Kurnool, India

    Rachagolla Varaprasad

  2. Information Technology, VNRVJIET, Hyderabad, Telangana, India

    Somula Ramasubbareddy

  3. Scope, VIT University, Vellore, Tamil Nadu, India

    K. Govinda

Authors
  1. Rachagolla Varaprasad
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  2. Somula Ramasubbareddy
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  3. K. Govinda
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Editor information

Editors and Affiliations

  1. Guru Nanak Institutions, Ibrahimpatnam, Telangana, India

    H. S. Saini

  2. Guru Nanak Institutions, Ibrahimpatnam, Telangana, India

    Rishi Sayal

  3. Jawaharlal Nehru Technological University, Hyderabad, India

    A. Govardhan

  4. Cloud Computing and Distributed Systems (CLOUDS) Laboratory, University of Melbourne, Melbourne, VIC, Australia

    Rajkumar Buyya

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Varaprasad, R., Ramasubbareddy, S., Govinda, K. (2022). Event Recommendation System Using Machine Learning Techniques. In: Saini, H.S., Sayal, R., Govardhan, A., Buyya, R. (eds) Innovations in Computer Science and Engineering. Lecture Notes in Networks and Systems, vol 385. Springer, Singapore. https://doi.org/10.1007/978-981-16-8987-1_67

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