Sanjog Ray - researchr alias

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Viewing Publication 1 - 11 from 11

2030

Exploring the Impact of Mobile Technology Adoption on Financial Sustainability of Telecentres: The case of IndiaRajesh Sharma, Sanjog Ray. icegov 2019: 427-434 [doi]

2022

Approaches and algorithms to mitigate cold start problems in recommender systems: a systematic literature reviewDeepak Kumar Panda, Sanjog Ray. jiis, 59(2):341-366, 2022. [doi]

How do context-aware artificial intelligence algorithms used in fitness recommender systems? A literature review and research agendaParvathy Venkatachalam, Sanjog Ray. ijinfomandi, 2(2):100139, 2022. [doi]

2016

Explanations in recommender systems: an overviewRajesh Sharma, Sanjog Ray. ijbis, 23(2):248-262, 2016. [doi]

A Motivation-Aware Approach for Point of Interest RecommendationsKhadija Vakeel, Sanjog Ray. recsys 2016: 24-29 [doi]

2012

Identifying Influential Taggers in Trust-Aware Recommender SystemsSanjog Ray. asunam 2012: 1284-1288 [doi]

2011

A Collaborative Filtering Based Approach for Recommending Elective CoursesSanjog Ray, Anuj Sharma. icistm 2011: 330-339 [doi]

2010

Improving Prediction Accuracy in Trust-Aware Recommender SystemsSanjog Ray, Ambuj Mahanti. hicss 2010: 1-9 [doi]

Categorizing User Interests in Recommender SystemsSourav Saha, Sandipan Majumder, Sanjog Ray, Ambuj Mahanti. kes 2010: 282-291 [doi]

2009

Filler Item Strategies for Shilling Attacks against Recommender SystemsSanjog Ray, Ambuj Mahanti. hicss 2009: 1-10 [doi]

2008

Strategies for Effective Shilling Attacks against Recommender SystemsSanjog Ray, Ambuj Mahanti. kdd 2009: 111-125 [doi]

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