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A Natural Language Processing Approach for Musical Instruments Recommendation System

Dahale, Abhishek (2019) A Natural Language Processing Approach for Musical Instruments Recommendation System. Masters thesis, Dublin, National College of Ireland.

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Abstract

A number of significant researches have been made in the field of data analytics for recommendation systems and are able to successfully recommend the relevant and related content of the user's interest. Variety of domains like books, restaurants, web pages, movies, e commerce, etc. make use of recommendation systems, thus playing an important role in recommending the items of user's interest. The outcomes produced by these systems always have the scope of improvement over the results they currently provide which would lead to the user satisfaction. This research strengthens the use of the recommendation system by improving the accuracy of the results provided. In the recent years, the demand for musical instruments is increasing with the growing interest of people in opting music as a career or an extra-curricular activity. Hence, this research focuses on building a recommendation system for musical instrument, that will generate top 3 recommendations based on the search query entered by user. This search query contains details in form of technical specification, description, sentiments, and brand related to musical instrument. A Natural Language Processing approach is followed in order to generate recommendations by training the models: Dov2vec and Latent Semantic Analysis(LSA) using the dataset from Amazon. Further, the cosine similarity between a chatbot search query is matched with the average of the cosine similarity of LSA and Doc2Vec document embeddings to generate recommendations.The cosine similarities of the results obtained for top 3 recommendations from the experiments performed was 0.825319, 0.807372 and 0.789747.

Item Type: Thesis (Masters)
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science

Q Science > QA Mathematics > Computer software
T Technology > T Technology (General) > Information Technology > Computer software

H Social Sciences > HD Industries. Land use. Labor > Specific Industries > Music Industry
Divisions: School of Computing > Master of Science in Data Analytics
Depositing User: CAOIMHE NI MHAICIN
Date Deposited: 14 Oct 2019 08:36
Last Modified: 14 Oct 2019 08:36
URI: http://norma.ncirl.ie/id/eprint/3857

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