• Mrs. Amruta Harshal Salvi

The objects in a spatial database (e.g., restaurants or hotels) are related with keyword(s) to show their businesses or services. A novel issue known as Closest Keywords search is to query objects, called keyword cover, which have an arrangement of query keywords and have the base between objects remove. Presently a days, observe expanding accessibility and significance of keyword rating in object evaluation for the better decision making. This is inspiring us to examine a nonexclusive form of Closest Keywords search called Best Keyword Cover which considers inter-objects distance and the keyword rating of objects. The standards-based algorithm is the most similar keyword detection method based on many elements included in various keyword queries to create candidate keyword coverage. As the number of keywords in the query increases, many keywords are created, which degrades the performance of the base algorithm. This unfavorable solution suggests another important algorithm for the keyword nearest neighbor expansion (keyword-NNE). Comparatively the baseline algorithm, keyword-NNE algorithm significantly reduces the number of candidate keyword covers generated. This is in-depth analysis and extensive experiments on real data sets have justified the superiority of our keyword-NNE algorithm. The contribution work in this project is the Point of interest (POI) recommendation is to provide personalized recommendations of places, such as restaurants and hotels.

Best Keyword Cover, Keywords, Keyword Cover, Keyword Rating, Point Of Interests, Spatial Database

"SEARCHING BEST LOCATION TECHNIQUE USING MACHINE ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 8, page no.a196-a203, August-2021, Available :http://www.jetir.org/papers/JETIR2108027.pdf

"SEARCHING BEST LOCATION TECHNIQUE USING MACHINE ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 8, page no. ppa196-a203, August-2021, Available at : http://www.jetir.org/papers/JETIR2108027.pdf