Tasks to be done

Task to be done

1. For each system user, we concatenate all titles of the papers he/she has every read, then use the joined title as a input to my tag suggestion engine. Finally I will select top-N represented tags for each user according to our tag suggestion results.

2. For each paper, I can use tag suggestion engine to get the most popular tag set, then the tag set can represent a paper’s attribute.

3. Similarity calculation
a. user-item tag set overlap ratio
b. weighted sum approach

4. Evaluation
a. according to different recommendation size, calculate the precision and recall.

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