%0 Journal Article %1 noauthororeditor %A Shikhar, %D 2021 %J INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT %K Correlation based collaborative content cosine filtering kNN similarity %N 1 %P 1028-1033 %T Study of Recommendation System Used In Tourism and Travel %U https://www.ijtsrd.com/computer-science/other/47922/study-of-recommendation-system-used-in-tourism-and-travel/shikhar %V 6 %X This study is based on Recommendation Systems and its Types used in Tourism and Travel Website. Recommendation Systems are used in websites so that it can recommend item to a user based on his her interest and on the basis of user profile. In this paper, I design a recommender system for recommending tourist places based on content based and collaborative filtering techniques. This method combines both behavioural and content aspects of recommendations. The flow for the research is that first of all using cosine similarity, weighted ratings and Location APIs we build a content based system. The process is carried out by comparing the features of the item with respect to the user’s preferences. Then followed by collaborative filtering techniques such as Correlation and K Nearest neighbour in which items predict the interest of the user on an activity considering the evaluation that a particular user has given to similar activities. Shikhar "Study of Recommendation System Used In Tourism and Travel" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-1 , December 2021, URL: https://www.ijtsrd.com/papers/ijtsrd47922.pdf Paper URL: https://www.ijtsrd.com/computer-science/other/47922/study-of-recommendation-system-used-in-tourism-and-travel/shikhar

@article{noauthororeditor, abstract = {This study is based on Recommendation Systems and its Types used in Tourism and Travel Website. Recommendation Systems are used in websites so that it can recommend item to a user based on his her interest and on the basis of user profile. In this paper, I design a recommender system for recommending tourist places based on content based and collaborative filtering techniques. This method combines both behavioural and content aspects of recommendations. The flow for the research is that first of all using cosine similarity, weighted ratings and Location APIs we build a content based system. The process is carried out by comparing the features of the item with respect to the user’s preferences. Then followed by collaborative filtering techniques such as Correlation and K Nearest neighbour in which items predict the interest of the user on an activity considering the evaluation that a particular user has given to similar activities. Shikhar "Study of Recommendation System Used In Tourism and Travel" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-1 , December 2021, URL: https://www.ijtsrd.com/papers/ijtsrd47922.pdf Paper URL: https://www.ijtsrd.com/computer-science/other/47922/study-of-recommendation-system-used-in-tourism-and-travel/shikhar }, added-at = {2022-07-18T08:17:46.000+0200}, author = {Shikhar}, biburl = {https://www.bibsonomy.org/bibtex/2f385c3f0b1cdacb14c001aebaf4cb0e8/ijtsrd}, interhash = {ca2f0fea1ca0cee1c48f7cd2ff023a28}, intrahash = {f385c3f0b1cdacb14c001aebaf4cb0e8}, issn = {2456-6470}, journal = {INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT}, keywords = {Correlation based collaborative content cosine filtering kNN similarity}, language = {English}, month = {December }, number = 1, pages = {1028-1033}, timestamp = {2022-07-18T08:17:46.000+0200}, title = {Study of Recommendation System Used In Tourism and Travel }, url = {https://www.ijtsrd.com/computer-science/other/47922/study-of-recommendation-system-used-in-tourism-and-travel/shikhar}, volume = 6, year = 2021 }