[Lisa_teatalk] Talk by Alessandro Sordoni on Friday (27 March) at 14.00 in AA3195

Kyung Hyun Cho cho.k.hyun at gmail.com
Sat Mar 28 14:47:56 EDT 2015


Dear all,

Alessandro kindly shared his slides with us. You can find the slides at
https://drive.google.com/open?id=0B16RwCMQqrtdRjJvVFdMS2RIV0k&authuser=0.

Best,
- K

On Sat, Mar 28, 2015 at 2:45 PM, Kyung Hyun Cho <cho.k.hyun at gmail.com>
wrote:

> Dear all,
>
> Alessandro kindly shared his slides with us. The slides are attached.
>
> Best,
> - K
>
> On Wed, Mar 25, 2015 at 9:49 AM, Kyung Hyun Cho <cho.k.hyun at gmail.com>
> wrote:
>
>> Dear all,
>>
>> This week, Alessandro Sordoni from RALI will tell us about how a
>> hierarchical recurrent neural net can be used to suggest a
>> information-retrieval query based on a history of previous queries/returns.
>>
>> Hope to see many of you there!
>> - K
>>
>> ===
>> Speaker: Alessandro Sordoni
>> Date/Time: 27 March @14.00
>> Place: AA3195
>> Title: Generating Context-Aware Query Suggestions with Hierarchical
>> Recurrent Neural Networks
>> Abstract:
>> Query suggestion consists in presenting related queries to users after
>> they issue one or several queries to a web search engine. Typically,
>> suggestions are computed on the basis of the most recent query only.
>> Taking into account the full history of previous queries as important
>> context for suggestion is crucial but challenging. We propose a
>> hierarchical generative model of query sequences that allows to
>> generate synthetic suggestions given an unbounded history of previous
>> queries as context. Our approach is based on a novel neural network
>> approach that generates two levels of sequences, each with its own
>> recurrent state: sequences of words, i.e. user queries, and sequences
>> of queries, i.e. user sessions. Our model outperforms several
>> context-aware approaches in next query prediction setting.
>> Additionally, the model is able to generate fluent recommendations
>> even for long-tail queries. Our findings are corroborated by a user
>> study.
>>
>> Short bio:
>> Alessandro Sordoni is a PhD student at RALI, under the direction of
>> Jian-Yun Nie.
>>
>>
>
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