18 citations · 97 across the 27 of their papers we have counts for
9 papers · 1 filter
Semantic Product Search for Matching Structured Product Catalogs in E-Commerce
Jason Ingyu Choi, Surya Kallumadi, Bhaskar Mitra +2
Retrieving all semantically relevant products from the product catalog is an important problem in E-commerce. Compared to web documents, product catalogs are more structured and sp…
Would You Like to Hear the News? Investigating Voice-BasedSuggestions for Conversational News Recommendation
Harshita Sahijwani, Jason Ingyu Choi, Eugene Agichtein
One of the key benefits of voice-based personal assistants is the potential to proactively recommend relevant and interesting information. One of the most valuable sources of such…
Offline and Online Satisfaction Prediction in Open-Domain Conversational Systems
Jason Ingyu Choi, Ali Ahmadvand, Eugene Agichtein
Predicting user satisfaction in conversational systems has become critical, as spoken conversational assistants operate in increasingly complex domains. Online satisfaction predict…
Quantifying the Effects of Prosody Modulation on User Engagement and Satisfaction in Conversational Systems
Jason Ingyu Choi, Eugene Agichtein
As voice-based assistants such as Alexa, Siri, and Google Assistant become ubiquitous, users increasingly expect to maintain natural and informative conversations with such systems…
JointMap: Joint Query Intent Understanding For Modeling Intent Hierarchies in E-commerce Search
Ali Ahmadvand, Surya Kallumadi, Faizan Javed +1
An accurate understanding of a user's query intent can help improve the performance of downstream tasks such as query scoping and ranking. In the e-commerce domain, recent work in…
Contextual Dialogue Act Classification for Open-Domain Conversational Agents
Ali Ahmadvand, Jason Ingyu Choi, Eugene Agichtein
Classifying the general intent of the user utterance in a conversation, also known as Dialogue Act (DA), e.g., open-ended question, statement of opinion, or request for an opinion,…
Would you Like to Talk about Sports Now? Towards Contextual Topic Suggestion for Open-Domain Conversational Agents
Ali Ahmadvand, Harshita Sahijwani, Eugene Agichtein
To hold a true conversation, an intelligent agent should be able to occasionally take initiative and recommend the next natural conversation topic. This is a challenging task. A to…
ConCET: Entity-Aware Topic Classification for Open-Domain Conversational Agents
Ali Ahmadvand, Harshita Sahijwani, Jason Ingyu Choi +1
Identifying the topic (domain) of each user's utterance in open-domain conversational systems is a crucial step for all subsequent language understanding and response tasks. In par…
Domain-Guided Task Decomposition with Self-Training for Detecting Personal Events in Social Media
Payam Karisani, Joyce C. Ho, Eugene Agichtein
Mining social media content for tasks such as detecting personal experiences or events, suffer from lexical sparsity, insufficient training data, and inventive lexicons. To reduce…