Strategies for Effective Shilling Attacks against Recommender Systems. - Sanjog Ray; Ambuj Mahanti (PinKDD, 2008)

Filler Item Strategies for Shilling Attacks against Recommender Systems. - Sanjog Ray; Ambuj Mahanti (HICSS, 2009)

Improving Prediction Accuracy in Trust-Aware Recommender Systems. - Sanjog Ray; Ambuj Mahanti (HICSS, 2010)

Categorizing User Interests in Recommender Systems. - Sourav Saha 001; Sandipan Majumder; Sanjog Ray; Ambuj Mahanti (KES (2), 2010)

A Collaborative Filtering Based Approach for Recommending Elective Courses. - Sanjog Ray; Anuj Sharma (ICISTM, 2011)

Identifying Influential Taggers in Trust-Aware Recommender Systems. - Sanjog Ray (ASONAM, 2012)

A Motivation-Aware Approach for Point of Interest Recommendations. - Khadija Vakeel; Sanjog Ray (RecTour@RecSys, 2016)

Explanations in recommender systems: an overview. - Rajesh Sharma; Sanjog Ray (Int. J. Bus. Inf. Syst., 2016)

Exploring the Impact of Mobile Technology Adoption on Financial Sustainability of Telecentres: The case of India. - Rajesh Sharma; Sanjog Ray (ICEGOV, 2019)

How do context-aware artificial intelligence algorithms used in fitness recommender systems? A literature review and research agenda. - Parvathy Venkatachalam; Sanjog Ray (Int. J. Inf. Manag. Data Insights, 2022)

Approaches and algorithms to mitigate cold start problems in recommender systems: a systematic literature review. - Deepak Kumar Panda; Sanjog Ray (J. Intell. Inf. Syst., 2022)

Information security threats and organizational readiness in nWFH scenarios. - Guruprasad B. Jayarao; Sanjog Ray; Prabin Kumar Panigrahi (Comput. Secur., 2024)