search

varepsilon / clickmodels

ClickModels is a small set of Python scripts for the user click models initially developed at Yandex. A Click Model is a probabilistic graphical model used to predict search engine click data from past observations. This project is aimed to deal with click models used in Information Retrieval (see next README.md) and intended to be easy-to-read and easy-to-modify. If it's not, please let me know how to improve it :)
BSD 3-Clause "New" or "Revised" License
238 stars 71 forks source link

the difference about your dbn model and other dbn model in github？ #7

Open idle-tmac opened 6 years ago

idle-tmac commented 6 years ago

hi i find another version of dbn model。 it has so much difference with your verison。 can you explain whoes is right？

another version address：
        https://github.com/markovi/PyClick
varepsilon commented 6 years ago

Thank you for your comment. The version in PyClick is more standard, I believe. The one in this repo has the extension to capture multiple intents (see the paper titled "Using intent information to model user behavior in diversified search https://pdfs.semanticscholar.org/031d/784e6cdc0df64a8a87230f6e2ff22ba66723.pdf"). You can use this version in a simple mode by limiting it to only one intent, but the one from PyClick would probably be easier.

On Tue, 28 Aug 2018 at 12:27 idle-tmac notifications@github.com wrote:

hi i find another version of dbn model。 it has so much difference with your verison。 can you explain whoes is right？

another version address： https://github.com/markovi/PyClick

— You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub https://github.com/varepsilon/clickmodels/issues/7, or mute the thread https://github.com/notifications/unsubscribe-auth/AAcxJH0UMFilkAmYYQz7p8-N3or62cA2ks5uVRsagaJpZM4WPVaL .

-- Aleksandr Chuklin