Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Dash, Abhisek"'
Autor:
Dash, Abhisek, Ghosh, Saptarshi, Mukherjee, Animesh, Chakraborty, Abhijnan, Gummadi, Krishna P.
Interleaving sponsored results (advertisements) amongst organic results on search engine result pages (SERP) has become a common practice across multiple digital platforms. Advertisements have catered to consumer satisfaction and fostered competition
Externí odkaz:
http://arxiv.org/abs/2407.19099
Facial Recognition Systems (FRSs) are being developed and deployed globally at unprecedented rates. Most platforms are designed in a limited set of countries but deployed in worldwide, without adequate checkpoints. This is especially problematic for
Externí odkaz:
http://arxiv.org/abs/2407.15810
Autor:
Jaiswal, Siddharth D, Dash, Abhisek, Shroff, Nitika, Vunnam, Yashwanth Babu, Ghosh, Saptarshi, Mukherjee, Animesh
E-commerce platforms support the needs and livelihoods of their two most important stakeholders -- customers and producers/sellers. Multiple algorithmic systems, like ``search'' systems mediate the interactions between these stakeholders by connectin
Externí odkaz:
http://arxiv.org/abs/2407.14650
Autor:
Dash, Abhisek, Chakraborty, Abhijnan, Ghosh, Saptarshi, Mukherjee, Animesh, Gummadi, Krishna P.
E-commerce marketplaces provide business opportunities to millions of sellers worldwide. Some of these sellers have special relationships with the marketplace by virtue of using their subsidiary services (e.g., fulfillment and/or shipping services pr
Externí odkaz:
http://arxiv.org/abs/2407.01732
Autor:
Dash, Abhisek, Chakraborty, Abhijnan, Ghosh, Saptarshi, Mukherjee, Animesh, Frankenreiter, Jens, Bechtold, Stefan, Gummadi, Krishna P.
In digital markets, antitrust law and special regulations aim to ensure that markets remain competitive despite the dominating role that digital platforms play today in everyone's life. Unlike traditional markets, market participant behavior is easil
Externí odkaz:
http://arxiv.org/abs/2403.18623
Autor:
Dash, Abhisek, Chakraborty, Abhijnan, Ghosh, Saptarshi, Mukherjee, Animesh, Gummadi, Krishna P.
Related Item Recommendations (RIRs) are ubiquitous in most online platforms today, including e-commerce and content streaming sites. These recommendations not only help users compare items related to a given item, but also play a major role in bringi
Externí odkaz:
http://arxiv.org/abs/2204.00241
Autor:
Dash, Abhisek, Chakraborty, Abhijnan, Ghosh, Saptarshi, Mukherjee, Animesh, Gummadi, Krishna P.
In traditional (desktop) e-commerce search, a customer issues a specific query and the system returns a ranked list of products in order of relevance to the query. An increasingly popular alternative in e-commerce search is to issue a voice-query to
Externí odkaz:
http://arxiv.org/abs/2202.03934
Computer vision applications like automated face detection are used for a variety of purposes ranging from unlocking smart devices to tracking potential persons of interest for surveillance. Audits of these applications have revealed that they tend t
Externí odkaz:
http://arxiv.org/abs/2111.09137
Autor:
Dash, Abhisek, Chakraborty, Abhijnan, Ghosh, Saptarshi, Mukherjee, Animesh, Gummadi, Krishna P.
Algorithmic recommendations mediate interactions between millions of customers and products (in turn, their producers and sellers) on large e-commerce marketplaces like Amazon. In recent years, the producers and sellers have raised concerns about the
Externí odkaz:
http://arxiv.org/abs/2102.00141
Autor:
Shandilya, Anurag, Dash, Abhisek, Chakraborty, Abhijnan, Ghosh, Kripabandhu, Ghosh, Saptarshi
With the surge in user-generated textual information, there has been a recent increase in the use of summarization algorithms for providing an overview of the extensive content. Traditional metrics for evaluation of these algorithms (e.g. ROUGE score
Externí odkaz:
http://arxiv.org/abs/2101.12406