Comments (12)
Hi! I think you can first have a check that if every movie in MovieLens-100k shows up in the kg.txt file. You may delete movies that are not contained in kg.txt from MovieLens-100k for simplicity. Otherwise, you may resort to other open source knowledge graphs to extract triplets for these missing movies.
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Hi,
Thanks for the quick response. Do you mind suggesting some open source reference to create the KG.
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Do you know how to create kg.txt?Can you share it with me?
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@hwwang55 can you provide steps on how to create a kg file for a new dataset instead of movie or music data? I tried but keep getting errors.
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Hi there, what type of datasets are you working on?
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It's a dataset similar to movie dataset with user, article, rating, timestamp format. I am creating the kg to use for another algo test. They published the paper using the output of your data it seems.
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you need to find a KG that matches the items in your dataset, and then do the linking between entities and items.
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What if I want to create a kg myself? Does your code expect to have each item exist in the kg.txt?
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Do you have the information to construct a KG for items? KG contains factual knowledge so it cannot be "created" but only "extracted" from available source of information. For example, you have the attributes of items, and these attributes can be connected to each other. Or, you have some natural texts describing these items, so you can use information extraction (IE) tools to extract a KG for these items.
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Yes, I do have info like article, specialty, lead-concept etc.
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You need to extract information from articles, and see if the specialty and lead concept information you mentioned can form a graph. How to construct a KG is beyond the scope of this work, especially when you want to construct a KG from text. This is more on the NLP side.
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Thank you, your tips helped me solve the issue. I am implementing CG-KGR algo with custom data.
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Related Issues (20)
- About dependency HOT 1
- Calculation of AUC metric
- Dear Professor, I want to now how to construct my own Knowledge Graph from Satori?
- Questions about choosing neighbors for each entity HOT 1
- 如果是增加了新的用户,整个模型是不是只能重新训练??? HOT 7
- item_index2entity_id这个文件到底有什么用? HOT 1
- 自己的数据集在构建邻接矩阵时报错,大家有遇到这样的问题吗 HOT 1
- 造不出来同款数据集,求解 HOT 4
- How can I use the Top-k evaluation
- Is KGCN for Recommender System is Inductive in Nature ? HOT 12
- Hi, which version of TF the code is built on? HOT 1
- 有些关于aggregate不懂的地方,求教
- Request for the rating.csv file for movie data set HOT 2
- 请问当user数量远远大于item数量时 模型的performance是否会受到影响 ?
- 王教授您好,打扰您一下,一直提示我找不到ratings_final.txt。 HOT 1
- Book Data
- kg.txt编号 HOT 1
- item_index2entity_id.txt
- 指标问题
- 请问kg.txt文件是怎么得出的?
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