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Identifier 000421544
Title On achieving high quality user reviews retrieval in the context of conversational faceted search
Alternative Title Υψηλής ποιότητας ανάκτηση σχολίων χρηστών στα πλαίσια της διαλογικής εξερευνητικής αναζήτησης
Author Σγόντζος, Κωνσταντίνος Α.
Thesis advisor Τζίτζικας, Γιάννης
Reviewer Πλεξουσάκης, Δημήτρης
Φλουρής, Γεώργιος
Abstract Question Answering Systems can be considered as an extension of Search Engines in the sense that they directly answer questions posed by users in Natural Language instead of simply returning relevant sources based on keyword search. Recently, such systems gained more attention and have great potential in various application domains including e-commerce. The general context of our work is to support Faceted Search (FS) in the form of spoken dialogue. FS is an exploratory search paradigm that is commonly applied over multidimensional or graph data. However, since structured data might not suffice for answering a user’s query, unstructured information like user comments or reviews can be a valuable source of information. In this work we focus on how to leverage the textual information (user reviews and comments) for answering the user questions. This information is generally restricted in the length of a sentence or a paragraph and is known as Answer Passage (AP). Due to the speech interaction with the user, high quality user review retrieval is necessary. To study this problem, we created an evaluation collection and we adjusted to our problem an existing TREC collection. We then proposed three basic approaches and variations of them. These approaches are based on handmade (Wordnet) and statistical (Word2vec) dictionaries. The comparative experimental results show that: (a) The combination of handmade and statistical dictionaries succeed better results in terms of precision in relevant AP (review) retrieval, (b) The expansion of the question with other relevant terms combined with methods that devalue question words which describe the general domain context, improve the precision, mainly in restricted domains such as hotel booking. In comparison to existing related work, our proposed approaches achieve higher precision.
Language English
Subject Faceted search
User reviews
Word embeddings
Wordnet
Πολυεδρική αναζήτηση
Στατιστικά λεξικά
Σχόλια χρηστών
Χειρόγραφα λεξικά
Issue date 2019-03-29
Collection   Faculty/Department--Faculty of Sciences and Engineering--Department of Computer Science--Post-graduate theses
  Type of Work--Post-graduate theses
Permanent Link https://elocus.lib.uoc.gr//dlib/c/4/5/metadata-dlib-1552035677-780082-27635.tkl Bookmark and Share
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