Acemap Research Paper Recommender System Based On Citation - PowerPoint PPT Presentation

Acemap Research Paper Recommender System Based On Citation ��

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Recommender System Examples

Why&What : Research paper recommender system ��

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Our Approach : Based on citation Ø Same field of research Ø Similar problem interested in - Build a paper network consisting of 127 million papers and 530 million reference relationships. - Offline algorithm

Algorithm: Common Neighborhood method �� D "→$ = &'()**'+, -'./'' )0 1 2) 3 |4 $ | = <=*7'/ )0 9:9'/8 in A A 8 +'5.ℎ7)/ℎ)), 8'2 �� 4 $ = +'5.ℎ7)/ℎ)), 8'2 )0 9:9'/ 3 D "→$ = |B C ⋂ B E | |B C | ��

Idea : Recommend papers with greater breadth � cites �� Neighborhood set of paper A

How : Common Neighborhood method Example Recommendation degree ��

Idea : Multidimensional recommendation matrix

Idea : Multidimensional recommendation matrix ��

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Current Acemap Paper Recommender System Analysis ��

Recommendation result comparison Recommender system based on authors' names Recommender system based on citation Results of our algorithm are more convincing and reliable

Current Acemap Paper Recommender System Analysis Only a few recommendation results if the authors has published only a few papers

Recommendation result comparison Our algorithm can recommend multiple papers no matter how many papers the authors have published

Results in different areas 1. wireless communication ��

Results in different areas 2. wireless network

Results in different areas 3. Recommendation area

Infocom 2018 http://acemap.sjtu.edu.cn/infocom2018

Infocom 2018 Paper Recommendation Page http://acemap.sjtu.edu.cn/infocomPaper?PaperID=p2735

Infocom 2018 Affiliation Map

Infocom 2018 Session Map

Contribution p Jiasheng Zhou • Prepared total paper dataset • Designed and implemented common neighborhood method • Implemented the idea of recommending papers with greater breadth • Did comparison experiments to evaluate proposed method • Participated in designing Infocom index page • Drawed Infocom 2018 session map and affiliation map p Xinzhu Cai • Prepared total paper dataset • Designed and implemented common neighborhood method • Implemented the idea of multidimensional recommendation matrix • Optimized Infocom 2018 dataset • Designed Infocom recommendation result display page • Participated in drawing Infocom 2018 affiliation map

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Acemap Research Paper Recommender System Based On Citation - PowerPoint PPT Presentation

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Acemap Research Paper Recommender System Based On Citation - PowerPoint PPT Presentation

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