INDEX CONSTRUCTION
Suppose you have joined a search engine development team to design a search algorithm based
on both the Vector model and the Boolean model.
You have collected the following documents (unstructured) and plan to apply an index
technique to convert them into an inverted index.
Doc 1： data science is field to use scientific method, process, algorithm, system to extract
knowledge.
Doc 2： data mining is the process to discover pattern in large data to involve method at the
database system.
Doc 3： information system is the study of network of hardware and software that people use
to process data.
To answer the below questions, you have to provide the detailed procedures step by step. You
need to remove all stop words and punctuation before the process of creating the inverted
index. After that, please complete the following steps:
QUESTION AY are required to Create a merged inverted list including the within-document frequencies for
each term.
QUESTION B
Using the index created as above, create a dictionary and the related posting file.
QUESTION C
Please design three Boolean queries, (for example, web AND search) and list the relevant
documents for each query. Each query must contain at least two keywords while no one
keyword appears in one document only.
QUESTION D
Please use the Vector model to query on the inverted index, and compare the result with the
Boolean model. (Hint: you can use cosine similarity and set a similarity threshold).
PART TWO
QUESTION
INNOVATION CONCEPT DESIGN OF DECENTRALIZED WEB SEARCH ENGINE
You are required to make the great brainstorming for concept design. As we learnt, all the
current web search engine companies host the web data in their own web server. The data
generators cannot control their own data. In the near future, it might be highly desirable for the
worldwide researchers or companies to design a new type of web search engine, denoted as
decentralized or distributed web search engine. Lots of start-ups also make investment in such
area. The benefit is to achieve data privacy protection, data use transparency, and removing the
centralization of data management.
In this challenging task, your design should include several important aspects:
1.How to maintain the data using index? Must have 200~300 words to describe the design.
2. How to answer keyword queries in the new types of data environment? Must have 200~300
words to describe the design.
3. How to evaluate such new web search engine system? Must have 200~300 words to describe
the design.
4
Provide the system structure concept design diagram. Must have a diagram and
200~300 words to explain the diagram.
QUESTION THREE
1. In this question, you are required to evaluate the performance of different search engines.
GOOGLE.COM AND AU.YAHOO.COM starting the effectiveness of one over the
other with respect to coverage and usage in Australia.
2. Second, you are required to constrain your query to REUTERS.COM by specifying:
e.g., Given a keyword query “high-tech global”, you need to write into the search box
with “high-tech global INTO REUTERS.COM WEBPAGE at GOOGLE website
AND AU.YAHOO WEBSITE. Below is the example provided for you to use google,
shown in Figure 2 and Figure 3. [Penalty is applied if your results do not follow the
instruction.]
Figure 2: Search “high-tech global” within the website www.reuters.com
Figure 3: Search Results of “high-tech global” within the website www.reuters.com
• Third, please choose one target from the following list, and design two queries to search
in both search engines. So both query 1 and query 2 have to be tested in both search
engines.
✓ Target 1: Online tutors have more incomes in worldwide education marketing.
✓ Target 2: Online education expanding, awaits innovation.
✓ Target 3: Innovations in online learning for regional people.
• Finally, select the first 20 results in both search engines, if they return the target news,
then mark them as relevant documents, otherwise, they are irrelevant. Note: assume
there are 12 relevant documents in total (retrieved and not-retrieved). If you search more
than 12 relevant documents, you can simply regard some to be irrelevant for practice.
The following questions are based on your search results.
Question A
List your target, results and designed search queries (You can use any keywords you think are
related to the target news, even if the keywords are not contained the news text). For each result,
you can click the link and go to the page, and write down a summary with 2~3 sentences for
each result if you think this result is relevant. At your report, you are required to provide the
URL address and the summary to explain why they are relevant to the queries.
Question B.
Get the precision and recall values for 20 documents for query 1 in search engine 1. Interpolate
them to 11 standard recall levels. Then plot them into a chart. Get the precision and recall
values for 20 documents for query 1 in search engine 2. Interpolate them to 11 standard recall
levels. Then plot them into the same chart.
Question 2C
Get the precision and recall values for 20 documents for query 2 in search engine 1. Interpolate
them to 11 standard recall levels. Then plot them into a chart. Get the precision and recall
values for 20 documents for query 2 in search engine 2. Interpolate them to 11 standard recall
levels. Then plot them into the same chart.
Question . D
Now find the average interpolated precision of query 1 and query 2 for search engine 1 and plot
it into a chart. So you will have total of 3 interpolated curves in one single chart. Now find the
average interpolated precision of query 1 and query 2 for search engine 2 and plot it into the
same chart. So, you will have total of 3 interpolated curves in one single chart.
Question E
Plot the average interpolated values for Search Engine 1 and Search Engine 2 on one single
chart, and compare the algorithms in terms of precision and recall. Which search engine do you
think is superior? Why?
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