Lab Report 01.10.2024 - bounswe/bounswe2024group1 GitHub Wiki
๐ Date 01.10.2024
โ๏ธ Participant List
- Mehmet Efe AKCA
- Nazire ATA
- Enes BASER
- Cagatay COLAK
- Aslฤฑ GOK
- Tarฤฑk Can รzden
- Ahmet Enes Semerci
- Atakan YASAR
๐ Work Done During the Lab (Deliverables)
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Discussed the requirements in the Requirements Specification document ๐ Document Link
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Discussed the selection of W3C standard of the project
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Elicited requirements with client, received following deliverables (not exhaustive):
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- Implement a recommendation algorithm
- Discussed recommendation algorithms that can be used:
- Vectorization of the users & posts with programming languages to find cosine similarity:
- For each user (0 for languages not followed and 1 for languages followed),
- For each posted question (0 if language not in tags and 1 if language in tags)
- Vectorization of the posts with doc2vec embeddings:
- Users' vectors can be the average of the vectors of liked posts.
- Posts' vectors can be calculated by concatenating title and descriptions with doc2vec embeddings.
- Graph based recommendations using Graph Databases.
- Vectorization of the users & posts with programming languages to find cosine similarity:
๐ Action Items
- Created Customer Milestone-1