07. Converting To Pivot Table | Book Recommender System | Machine Learning

Recommendation systems are becoming increasingly important in today’s extremely busy world. People are always short on time with the myriad tasks they need to accomplish in the limited 24 hours. Therefore, the recommendation systems are important as they help them make the right choices, without having to expend their cognitive resources.

The purpose of a recommendation system basically is to search for content that would be interesting to an individual. Moreover, it involves a number of factors to create personalised lists of useful and interesting content specific to each user/individual. Recommendation systems are Artificial Intelligence based algorithms that skim through all possible options and create a customized list of items that are interesting and relevant to an individual. These results are based on their profile, search/browsing history, what other people with similar traits/demographics are watching, and how likely are you to watch those movies. This is achieved through predictive modeling and heuristics with the data available.

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[siddharth]

hello sir ....i m stuck to point ....im also doing book recommendation project
where we making model user based....
first i take one target user id for sample for that i found out recommendations
for the target userid we found 5 similar user ids and the top books recommend by them
for this model i follow one video on utube where he directly exclude the comman book read by the target userid where as i dont want that i want to see those book even they are comman...
can you help me?

[reviewsonly]

bhai tu hindi me padhaya kr, teri english kya he batau

[reviewsonly]

bhai tu ok ok kahke mera dimag ka dahi bna de rha teri video nhi dekhne ka man krta , tu hamresa apne me he confuse rehta
kya karu koi batao mujhe