M. S. Tajbakhsh

Friend recommendation based on the Luscher color theory: Twitter use case

V. Solouk, M. S. Tajbakhsh, M. P. Aghababa, 2013, 2013 IEEE 11th Malaysia International Conference on Communications (MICC).

Semantic geolocation friend recommendation system; LinkedIn user case

M. S. Tajbakhsh, V. Solouk, Vahid Solouk, 2014, 2014 6th Conference on Information and Knowledge Technology (IKT).

Using an auxiliary dataset to improve emotion estimation in users’ opinions

M. S. Tajbakhsh, J. Bagherzadeh, Gholamhossein Gholami, 2021, Journal of Intelligent Information Systems.

Microblogging Hash Tag Recommendation System Based on Semantic TF-IDF: Twitter Use Case

Jamshid Bagherzadeh, Mir Saman Tajbakhsh, M. S. Tajbakhsh, 2016, 2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW).

Multi-agent celebrity recommender system (MACeRS): Twitter use case

Mir Saman Tajbakhsh, Vahid Solouk, Hanif Emamgholizadeh, 2021, Social Network Analysis and Mining.

A sound framework for dynamic prevention of Local File Inclusion

Jamshid Bagherzadeh, Mir Saman Tajbakhsh, M. S. Tajbakhsh, 2015, 2015 7th Conference on Information and Knowledge Technology (IKT).

A framework for quantifying controversy of social network debates using attributed networks: biased random walk (BRW)

M. S. Tajbakhsh, F. N. Esfahani, Hanif Emamgholizadeh, 2020, Social Network Analysis and Mining.

A framework for quantifying controversy of social network debates using attributed networks: biased random walk (BRW)

Mir Saman Tajbakhsh, Hanif Emamgholizadeh, Milad Nourizade, 2020, Social Network Analysis and Mining.

Using an auxiliary dataset to improve emotion estimation in users’ opinions

M. S. Tajbakhsh, S. Abdi, J. Bagherzadeh, 2021, J. Intell. Inf. Syst..