activity
20172026
most citedThe Size Conundrum: Why Online Knowledge Markets Can Fail at Scale

8 citations · 14 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Hard Rules, Soft Preferences: Bridging Reasoning, Learning, and Optimization for Personalized Packing Checklist Generation

Himel Dev, Madhusudan Basak, Tanmoy Sen +2

Packing for air travel is recurring and error-prone: the checklist must be personal and context-aware, yet feasible under safety rules, item dependencies, and luggage limits. Exist…

cs.LG2026

From Feasibility to Desirability: Plan, Learn, Adapt (PLA) Framework for Personalized On-Device Itinerary Generation

Himel Dev, Tanmoy Sen, Madhusudan Basak +1

Generating personalized trip itineraries is a complex planning task and involves a tension between hard combinatorial feasibility and soft latent desirability. Classical optimizati…

cs.LG2020

Profiling US Restaurants from Billions of Payment Card Transactions

Himel Dev, Hossein Hamooni

A payment card (such as debit or credit) is one of the most convenient payment methods for purchasing goods and services. Hundreds of millions of card transactions take place acros…

cs.SI2019★ 6 cited

Quantifying Voter Biases in Online Platforms: An Instrumental Variable Approach

Himel Dev, Karrie Karahalios, Hari Sundaram

In content-based online platforms, use of aggregate user feedback (say, the sum of votes) is commonplace as the "gold standard" for measuring content quality. Use of vote aggregate…

cs.SI2017★ 8 cited

The Size Conundrum: Why Online Knowledge Markets Can Fail at Scale

Himel Dev, Chase Geigle, Qingtao Hu +2

In this paper, we interpret the community question answering websites on the StackExchange platform as knowledge markets, and analyze how and why these markets can fail at scale. A…