A method for Twitter followee recommendation based on multimodal field-aware factorization machines considering social relations (MFFM-SR) is presented.

This paper has presented a method for Twitter followee recom- mendation based on MFFM-SR. Different from existing methods, we can model users' interest by ...

A method for Twitter followee recommendation based on multimodal field-aware factorization machines considering social relations (MFFM-SR) that enables ...

Request PDF | On Oct 1, 2018, Shoji Takimura and others published Twitter Followee Recommendation Based on Multimodal FFM Considering Social Relations ...

This paper designs an adaptive layer to dynamically leverage the contribution of topology and content to recommending followees, which changes the situation ...

Twitter Followee Recommendation Based on Multimodal FFM Considering Social Relations. GCCE 2018: 204-205; 2017. [c1]. view. electronic edition via DOI ...

To address this problem, we propose a followee recommender system based on an algorithm that explores the topology of followers/followees network of Twitter ...

We propose a method of making tweet recommendations based on collaborative ranking to capture personal interests.

Readers: Everyone. Twitter Followee Recommendation Based on Multimodal FFM Considering Social Relations · pdf icon · hmtl icon · Shoji Takimura, Ryosuke ...

Group recommendations. Social media users tend to have ties with their friends based on follower–followee relationships. Therefore, the assumption is that users ...