Abstract
Technology has completely changed the way we interact with the machines around us. Today, with everyone having access to devices like smartphones, voice has now become the primary and the most preferred mode of communication. We can also use this mode of communication to control various devices and applications at our home—a voice-controlled standalone device. We can develop a device with the help of Raspberry Pi and Relays to automate some of the manual day-to-day activities like switching on/off electrical appliances at home. Further, with the help of content-based recommendation, we can enable a device to suggest recommendations based on that individual’s past activities. Hence, this device can serve as a voice-controlled personalized home assistant.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Lian Z, Hui C (2014) Research on recommendation algorithms in web of things system. In: Proceeding of 7th international conference on intelligent computation technology and automation, Changsha, pp 569–572
Chen R, Hua Q, Chang Y, Wang B, Zhang L, Kong X (2018) A survey of collaborative filtering-based recommender systems: from traditional methods to hybrid methods based on social networks. Proc IEEE Access 6:64301–64320
Lops P, Jannach D, Musto C, Bogers T, Koolen M (2019) Trends in content-based recommendation. Proc User Model User-Adap Interact 29(2):239
Chandna M, Tyagi N, Singh R, Rehalia A (2015) Case study: RASPBERRIES Pi B+. Proc Int J Adv Res Comput Sci Softw Eng 5(8). ISSN: 2277 128X, Aug 2015
Nehete RO, Bhide AS (2015) Raspberry PI 3 based control and monitor remote machine automation. Proc Int J Eng Comput Sci 6(1): 20151–20155. ISSN: 2319-7242, Jan 2017; Index Copernicus Value 58(10). https://doi.org/10.18535/ijecs/v6i1.54
Shroff N, Kauthale P, Dhanapune A, Patil SN (2017) IOT based home automation using raspberry pi-3. Proc Int Res J Eng Technol 04(05). e-ISSN: 2395-0056
Yadav D, Singh Y, Gupta H (2018) Controlling of relay using raspberry pi via internet for home auomation. Proc Int J Adv Res Eng Technol IJARET 9(1):1–11
Kaur1 S, Sharma S, Jain U, Raj A (2016) Voice command system using raspberry pi. Proc Adv Comput Intell Int JACII 3(3)
Qaiser S, Ali R Text mining: use of TF-IDF to examine the relevance of words to documents. Proc Int J Comput Appl 181. https://doi.org/10.5120/ijca2018917395
Dai W (2018) Improvement and implementation of feature weighting algorithm TF-IDF in Text classification. In: Proceeding of 2018 international conference on network, communication, computer engineering (NCCE 2018). https://doi.org/10.2991/ncce-18.2018.94
Singh JN, Dwivedi SK (2012) Analysis of vector space model in information retrieval. IJCA Proc Natl Conf Commun Technol Impact Next Gener Comput CTNGC 2:14–18
Gunawan D, Sembiring CA, Budiman MA (2017) The implementation of cosine similarity to calculate text relevance between two documents. In: Proceeding of 2nd international conference on computing and applied informatics 2017. https://doi.org/10.1088/1742-6596/978/1/012120
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Parmar, H., Shekokar, N., Thakre, P. (2020). A Novel Design for Voice-Enabled Home Automation and Personalized Recommendation System. In: Vasudevan, H., Michalas, A., Shekokar, N., Narvekar, M. (eds) Advanced Computing Technologies and Applications. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-3242-9_65
Download citation
DOI: https://doi.org/10.1007/978-981-15-3242-9_65
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-3241-2
Online ISBN: 978-981-15-3242-9
eBook Packages: EngineeringEngineering (R0)