[HTML][HTML] Advances and challenges in conversational recommender systems: A survey
Recommender systems exploit interaction history to estimate user preference, having been
heavily used in a wide range of industry applications. However, static recommendation …
heavily used in a wide range of industry applications. However, static recommendation …
A survey on deep learning for named entity recognition
Named entity recognition (NER) is the task to identify mentions of rigid designators from text
belonging to predefined semantic types such as person, location, organization etc. NER …
belonging to predefined semantic types such as person, location, organization etc. NER …
[图书][B] Interactions with search systems
RW White - 2016 - books.google.com
Information seeking is a fundamental human activity. In the modern world, it is frequently
conducted through interactions with search systems. The retrieval and comprehension of …
conducted through interactions with search systems. The retrieval and comprehension of …
A survey of query auto completion in information retrieval
F Cai, M De Rijke - Foundations and Trends® in Information …, 2016 - nowpublishers.com
In information retrieval, query auto completion (QAC), also known as typeahead [Xiao et al.,
2013, Cai et al., 2014b] and auto-complete suggestion [Jain and Mishne, 2010], refers to the …
2013, Cai et al., 2014b] and auto-complete suggestion [Jain and Mishne, 2010], refers to the …
Neural information retrieval: At the end of the early years
KD Onal, Y Zhang, IS Altingovde, MM Rahman… - Information Retrieval …, 2018 - Springer
A recent “third wave” of neural network (NN) approaches now delivers state-of-the-art
performance in many machine learning tasks, spanning speech recognition, computer …
performance in many machine learning tasks, spanning speech recognition, computer …
Learning to personalize query auto-completion
M Shokouhi - Proceedings of the 36th international ACM SIGIR …, 2013 - dl.acm.org
Query auto-completion (QAC) is one of the most prominent features of modern search
engines. The list of query candidates is generated according to the prefix entered by the …
engines. The list of query candidates is generated according to the prefix entered by the …
Learning to attend, copy, and generate for session-based query suggestion
Users try to articulate their complex information needs during search sessions by
reformulating their queries. To make this process more effective, search engines provide …
reformulating their queries. To make this process more effective, search engines provide …
Time-sensitive query auto-completion
M Shokouhi, K Radinsky - Proceedings of the 35th international ACM …, 2012 - dl.acm.org
Query auto-completion (QAC) is a common feature in modern search engines. High quality
QAC candidates enhance search experience by saving users time that otherwise would be …
QAC candidates enhance search experience by saving users time that otherwise would be …
Learning user reformulation behavior for query auto-completion
JY Jiang, YY Ke, PY Chien, PJ Cheng - Proceedings of the 37th …, 2014 - dl.acm.org
It is crucial for query auto-completion to accurately predict what a user is typing. Given a
query prefix and its context (eg, previous queries), conventional context-aware approaches …
query prefix and its context (eg, previous queries), conventional context-aware approaches …
Deep learning for detecting inappropriate content in text
Today, there are a large number of online discussion fora on the internet which are meant
for users to express, discuss and exchange their views and opinions on various topics. For …
for users to express, discuss and exchange their views and opinions on various topics. For …