CSCE-670---COURSE-PROJECT : PERSONALIZED SEARCH RANKING (USING GAE BASED GRAPH EMBEDDINGS)

ABOUT

With the rapid growth of the amount of information on the Internet, it has become important to help users alleviate the problem of information overload and select interesting and necessary information in web applications including web search, ecommerce search etc. We aim at providing improved Personalized search results to each user based on their activity and other similar users activity by leveraging the recent advances in graph embedding techniques to exploit graph structured data for automatic feature extraction.

ADDITIONAL SOURCE FILES

Please find additional source files(>100MB) here in the google drive https://drive.google.com/open?id=1XipXeky6iFaa8uyhDxmjXA_Hd1K8nrnB Please note and see the pickle objects,various re-ranked submission files for NDCG Evaluation from the folder for easy use.

TEAM MEMEBERS

(1) SRIVIDHYA BALAJI

(2) ASHWIN KRISHNA

(3) ABINDU DHAR

(4) RISHABH SINGLA