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Probability and Recommendation Engine

Developer will receive an SQL dump of a table with two column, a userid and an object id. The job is to write four efficient algorithms.

recommended_object(int objectid) : returns an array of similar objects and a relevance score per.

recommended_person(int personid) : returns an array of similar people and a relevance score per.

compare_object(int objectid1, int objectid1) : returns a relevance score.

compare_people(int personid1, int personid2) : returns a relevance score based on the user's interests

To bid, please provide two to three sentences on how this is computationally accomplishable.

Kĩ năng: Thuật toán, Toán học, MySQL, PHP, Kiến trúc phần mềm

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Về Bên Thuê:
( 0 nhận xét ) dc, United States

ID dự án: #1037537

5 freelancer đang chào giá trung bình $132 cho công việc này


Dear sir, I can use Jaccard similarity measurement to solve it based on the SQL dump. The four algorithms is based on the Jaccard similarity to get the relevant objectIDs or UserIDs, so it is computational achievabl Thêm

$180 USD trong 2 ngày
(17 Nhận xét)

Hi, I would use permutations and probability. Though, what worries my is the practical viability of this..., what is the amount of data we are dealing with, should I worry about the processing time?

$200 USD trong 2 ngày
(4 Nhận xét)

I am an experienced developer, and I'd be very interested in taking on this project. I am a detailed oriented, logical and creative thinker. Please see response in your Mailbox.

$100 USD trong 3 ngày
(3 Nhận xét)

Will use Bayesian network to learn the user's and item's similarity. for a given user the we can sort item by probability p(a=1 | b) where b is all purchased items.. Had used this methods in music recommendation. ht Thêm

$80 USD trong 3 ngày
(0 Nhận xét)

Please see Private Message

$100 USD trong 1 ngày
(0 Nhận xét)