313 citations · 922 across the 48 of their papers we have counts for
5 papers · 1 filter
Neural Ranking Models with Multiple Document Fields
Hamed Zamani, Bhaskar Mitra, Xia Song +2
Deep neural networks have recently shown promise in the ad-hoc retrieval task. However, such models have often been based on one field of the document, for example considering docu…
Current Challenges and Visions in Music Recommender Systems Research
Markus Schedl, Hamed Zamani, Ching-Wei Chen +2
Music recommender systems (MRS) have experienced a boom in recent years, thanks to the emergence and success of online streaming services, which nowadays make available almost all…
Neural Matching Models for Question Retrieval and Next Question Prediction in Conversation
Liu Yang, Hamed Zamani, Yongfeng Zhang +2
The recent boom of AI has seen the emergence of many human-computer conversation systems such as Google Assistant, Microsoft Cortana, Amazon Echo and Apple Siri. We introduce and f…
Neural Ranking Models with Weak Supervision
Mostafa Dehghani, Hamed Zamani, Aliaksei Severyn +2
Despite the impressive improvements achieved by unsupervised deep neural networks in computer vision and NLP tasks, such improvements have not yet been observed in ranking for info…
Relevance-based Word Embedding
Hamed Zamani, W. Bruce Croft
Learning a high-dimensional dense representation for vocabulary terms, also known as a word embedding, has recently attracted much attention in natural language processing and info…