Events Calendar

PhD Defense - Ali Khodaei

PhD Candidate

Ali Khodaei

Committee

Elizabeth Currid-Halkett (Outside Member)

Cyrus Shahabi (Chair)

Gaurav S. Sukhatme

Title

COMBINING TEXTUAL WEB SEARCH WITH SPATIAL, TEMPORAL AND SOCIAL ASPECTS OF THE WEB


Abstract

Over the last few years,Web has changed significantly. Emergence
of Web 2.0 have enabled people to interact with web document in new ways not possible before.
It is now a common practice for many web documents to get geo-tagged, time-tagged or integrated with popular social networks.
With these new changes and the abundant usage of spatial, temporal and social
information in web documents as well as user search queries,
the necessity of integration of such non-textual aspects of the web
to the regular textual web search has grown rapidly over the past few years.

To integrate each of those non-textual dimensions to the textual web search and to enable spatial-textual, temporal-textual and social-textual web search,
in this dissertation we propose a set of new relevance models, index structures and algorithms specifically
designed for adding each non-textual dimension (spatial, temporal and social) to the current state of (textual) web search.
First, we propose a new ranking model and a hybrid index structure called
Spatial-Keyword Inverted File to handle location-based ranking and indexing of web
documents in an integrated/efficient manner. Second,
we propose a new indexing and ranking framework for temporal-textual
retrieval. The framework leverages the classical vector space model and provides a complete scheme for indexing,
query processing and ranking of the temporal-textual queries. Finally, we
show how to personalizes the search results based on users' social
actions. We propose a new relevance model called PerSocial relevance
model utilizing three levels of social signals to improve the web
search. Furthermore, We Develop Several Approaches To Integrate
PerSocial relevance model Into The Textual Web Search Process.
(the last part - adding social signals to web search- is the topic of my defense presentation).

Location: Charles Lee Powell Hall (PHE) - 333

Audiences: Everyone Is Invited

Contact: Lizsl De Leon